Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab |
5 |
Neural Architectures for Nested NER through Linearization |
Jana Straková, Milan Straka, Jan Hajic |
https://www.aclweb.org/anthology/P19-1527.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
Stochastic Tokenization with a Language Model for Neural Text Classification |
Tatsuya Hiraoka, Hiroyuki Shindo, Yuji Matsumoto |
https://www.aclweb.org/anthology/P19-1158.pdf |
2019 |
ACL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, task-seq2seq |
2 |
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations |
Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou |
https://www.aclweb.org/anthology/P19-1002.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, latent-vae, loss-nce, task-seq2seq, task-tree, task-graph |
0 |
Discourse Representation Parsing for Sentences and Documents |
Jiangming Liu, Shay B. Cohen, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1629.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, pool-max, arch-lstm, arch-coverage, arch-subword, pre-fasttext, loss-cca, loss-svd, task-textpair, task-lm, task-seq2seq, task-lexicon |
29 |
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions |
Goran Glavaš, Robert Litschko, Sebastian Ruder, Ivan Vulić |
https://www.aclweb.org/anthology/P19-1070.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-labelsmooth, norm-batch, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq |
1 |
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation |
Elizabeth Salesky, Matthias Sperber, Alan W Black |
https://www.aclweb.org/anthology/P19-1179.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-memo, arch-coverage, pre-elmo, pre-bert, task-spanlab |
3 |
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index |
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/P19-1436.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, struct-crf, task-textclass, task-seqlab, task-seq2seq |
0 |
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning |
Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1231.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-extractive, task-lm, task-context |
0 |
Self-Supervised Learning for Contextualized Extractive Summarization |
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
https://www.aclweb.org/anthology/P19-1214.pdf |
2019 |
ACL |
# arch-lstm, arch-gnn, arch-cnn, arch-att, arch-bilinear, pre-glove, latent-vae, loss-nce, task-seqlab, task-condlm, task-seq2seq, task-relation |
1 |
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization |
Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency |
https://www.aclweb.org/anthology/P19-1152.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq |
3 |
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading |
Victor Zhong, Luke Zettlemoyer |
https://www.aclweb.org/anthology/P19-1223.pdf |
2019 |
ACL |
# train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear |
0 |
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks |
Anush Kamath, Sparsh Gupta, Vitor Carvalho |
https://www.aclweb.org/anthology/P19-1556.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, struct-crf |
2 |
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling |
Haihong E, Peiqing Niu, Zhongfu Chen, Meina Song |
https://www.aclweb.org/anthology/P19-1544.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-word2vec, task-lm, task-condlm, task-seq2seq |
1 |
Attention-based Conditioning Methods for External Knowledge Integration |
Katerina Margatina, Christos Baziotis, Alexandros Potamianos |
https://www.aclweb.org/anthology/P19-1385.pdf |
2019 |
ACL |
# train-parallel, arch-lstm, arch-cnn, arch-subword, search-beam, task-lm, task-seq2seq |
0 |
Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units |
Arturo Argueta, David Chiang |
https://www.aclweb.org/anthology/P19-1626.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-fasttext, pre-bert, struct-crf, task-relation |
0 |
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections |
Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig |
https://www.aclweb.org/anthology/P19-1311.pdf |
2019 |
ACL |
# optim-adagrad, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gnn, arch-att, search-beam, search-viterbi, pre-glove, pre-skipthought, pre-elmo, task-lm, task-relation |
0 |
Multi-Relational Script Learning for Discourse Relations |
I-Ta Lee, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1413.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, struct-crf |
0 |
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference |
He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong |
https://www.aclweb.org/anthology/P19-1541.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-copy, arch-coverage, task-condlm, task-seq2seq |
2 |
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation |
Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, William Cohen |
https://www.aclweb.org/anthology/P19-1483.pdf |
2019 |
ACL |
# train-augment, arch-rnn, arch-lstm, arch-bilstm, pre-bert, struct-hmm, adv-examp, adv-train, task-spanlab, task-lm, task-seq2seq |
6 |
Combating Adversarial Misspellings with Robust Word Recognition |
Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton |
https://www.aclweb.org/anthology/P19-1561.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese |
Enkhbold Bataa, Joshua Wu |
https://www.aclweb.org/anthology/P19-1458.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-lstm, arch-att, task-lm, task-seq2seq |
4 |
Word-order Biases in Deep-agent Emergent Communication |
Rahma Chaabouni, Eugene Kharitonov, Alessandro Lazaric, Emmanuel Dupoux, Marco Baroni |
https://www.aclweb.org/anthology/P19-1509.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-bilinear, comb-ensemble, struct-crf, struct-cfg, task-seqlab, task-relation |
2 |
Sequence Labeling Parsing by Learning across Representations |
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/P19-1531.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, loss-nce, task-lm, task-seq2seq |
0 |
Learning from Omission |
Bill McDowell, Noah Goodman |
https://www.aclweb.org/anthology/P19-1059.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-memo, task-tree |
0 |
Interpretable Question Answering on Knowledge Bases and Text |
Alona Sydorova, Nina Poerner, Benjamin Roth |
https://www.aclweb.org/anthology/P19-1488.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, arch-coverage, comb-ensemble, search-beam, task-lm, task-seq2seq |
3 |
Data-to-text Generation with Entity Modeling |
Ratish Puduppully, Li Dong, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1195.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, norm-batch, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-lm, task-seq2seq |
0 |
Training Hybrid Language Models by Marginalizing over Segmentations |
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin |
https://www.aclweb.org/anthology/P19-1143.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seqlab, task-relation |
0 |
Deep Dominance - How to Properly Compare Deep Neural Models |
Rotem Dror, Segev Shlomov, Roi Reichart |
https://www.aclweb.org/anthology/P19-1266.pdf |
2019 |
ACL |
# optim-projection, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-coverage, pre-glove, struct-hmm, struct-crf, task-textclass, task-seqlab |
0 |
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy |
Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor |
https://www.aclweb.org/anthology/P19-1014.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-transformer, nondif-reinforce, task-relation, task-tree |
0 |
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing |
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/P19-1418.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-bilstm, arch-att, pre-word2vec |
5 |
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network |
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim |
https://www.aclweb.org/anthology/P19-1093.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, train-active, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-lm |
0 |
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions |
Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio |
https://www.aclweb.org/anthology/P19-1112.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-coverage, pre-glove, pre-skipthought, pre-elmo, pre-bert, adv-train, task-textpair, task-lm, task-cloze, task-relation |
2 |
DisSent: Learning Sentence Representations from Explicit Discourse Relations |
Allen Nie, Erin Bennett, Noah Goodman |
https://www.aclweb.org/anthology/P19-1442.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, activ-tanh, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq |
0 |
Incorporating Linguistic Constraints into Keyphrase Generation |
Jing Zhao, Yuxiang Zhang |
https://www.aclweb.org/anthology/P19-1515.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, task-lm, task-condlm |
1 |
Generating Question Relevant Captions to Aid Visual Question Answering |
Jialin Wu, Zeyuan Hu, Raymond Mooney |
https://www.aclweb.org/anthology/P19-1348.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-coverage, arch-subword, task-textpair, task-condlm, task-seq2seq |
1 |
Simple and Effective Paraphrastic Similarity from Parallel Translations |
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/P19-1453.pdf |
2019 |
ACL |
# reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-relation |
8 |
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank |
Junru Zhou, Hai Zhao |
https://www.aclweb.org/anthology/P19-1230.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, reg-labelsmooth, train-mtl, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, struct-cfg, task-textclass, task-lm, task-seq2seq, task-relation |
1 |
Scalable Syntax-Aware Language Models Using Knowledge Distillation |
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom |
https://www.aclweb.org/anthology/P19-1337.pdf |
2019 |
ACL |
# optim-adam, optim-projection, norm-gradient, train-mll, train-transfer, activ-relu, pool-max, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-skipthought, latent-vae, task-textpair, task-lm, task-seq2seq, task-cloze |
0 |
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning |
Shuai Tang, Virginia R. de Sa |
https://www.aclweb.org/anthology/P19-1397.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-seq2seq |
1 |
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction |
Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu |
https://www.aclweb.org/anthology/P19-1137.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-bert, loss-nce, task-textclass, task-textpair |
0 |
Matching Article Pairs with Graphical Decomposition and Convolutions |
Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu |
https://www.aclweb.org/anthology/P19-1632.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-att, arch-residual, arch-coverage, latent-vae, loss-nce, task-lm, task-seq2seq, task-lexicon |
1 |
Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B |
Jiaming Luo, Yuan Cao, Regina Barzilay |
https://www.aclweb.org/anthology/P19-1303.pdf |
2019 |
ACL |
# optim-projection, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, comb-ensemble, pre-fasttext, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
3 |
Massively Multilingual Transfer for NER |
Afshin Rahimi, Yuan Li, Trevor Cohn |
https://www.aclweb.org/anthology/P19-1015.pdf |
2019 |
ACL |
# optim-sgd, train-mll, train-transfer, arch-lstm, search-viterbi, pre-fasttext, nondif-reinforce, task-lm, task-seq2seq, task-lexicon, task-alignment |
0 |
MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction |
Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun |
https://www.aclweb.org/anthology/P19-1308.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, task-textpair, task-lm, task-seq2seq |
4 |
Multimodal Transformer for Unaligned Multimodal Language Sequences |
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov |
https://www.aclweb.org/anthology/P19-1656.pdf |
2019 |
ACL |
# optim-sgd, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-seqlab, task-seq2seq |
0 |
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories |
Rui Mao, Chenghua Lin, Frank Guerin |
https://www.aclweb.org/anthology/P19-1378.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, pre-elmo, task-seqlab, task-lm, task-tree |
2 |
End-to-end Deep Reinforcement Learning Based Coreference Resolution |
Hongliang Fei, Xu Li, Dingcheng Li, Ping Li |
https://www.aclweb.org/anthology/P19-1064.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-skipthought, pre-bert, task-seqlab |
0 |
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations |
Sumeet Kumar, Kathleen Carley |
https://www.aclweb.org/anthology/P19-1498.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-decay, train-mtl, arch-lstm, arch-bilstm, arch-att, task-condlm, task-seq2seq |
1 |
Storyboarding of Recipes: Grounded Contextual Generation |
Khyathi Chandu, Eric Nyberg, Alan W Black |
https://www.aclweb.org/anthology/P19-1606.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree |
0 |
Span-Level Model for Relation Extraction |
Kalpit Dixit, Yaser Al-Onaizan |
https://www.aclweb.org/anthology/P19-1525.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-coverage, comb-ensemble, search-viterbi, struct-crf, adv-train, task-textclass, task-seq2seq, task-relation |
0 |
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining |
Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1516.pdf |
2019 |
ACL |
# train-mll, pool-max, arch-lstm, arch-att, arch-memo, nondif-reinforce, adv-train, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze, task-context |
1 |
Self-Supervised Dialogue Learning |
Jiawei Wu, Xin Wang, William Yang Wang |
https://www.aclweb.org/anthology/P19-1375.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-att, search-beam, pre-elmo, latent-vae, task-extractive, task-lm, task-seq2seq |
1 |
Simple Unsupervised Summarization by Contextual Matching |
Jiawei Zhou, Alexander Rush |
https://www.aclweb.org/anthology/P19-1503.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq |
0 |
Inducing Document Structure for Aspect-based Summarization |
Lea Frermann, Alexandre Klementiev |
https://www.aclweb.org/anthology/P19-1630.pdf |
2019 |
ACL |
# init-glorot, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, loss-nce |
0 |
Toward Comprehensive Understanding of a Sentiment Based on Human Motives |
Naoki Otani, Eduard Hovy |
https://www.aclweb.org/anthology/P19-1461.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seq2seq |
1 |
Dense Procedure Captioning in Narrated Instructional Videos |
Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou |
https://www.aclweb.org/anthology/P19-1641.pdf |
2019 |
ACL |
# train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, adv-train, task-seq2seq |
0 |
Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation |
Francine Chen, Yan-Ying Chen |
https://www.aclweb.org/anthology/P19-1211.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm |
0 |
Detecting Concealed Information in Text and Speech |
Shengli Hu |
https://www.aclweb.org/anthology/P19-1039.pdf |
2019 |
ACL |
# optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-condlm, task-seq2seq |
0 |
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing |
Yuanchao Liu, Bo Pang, Bingquan Liu |
https://www.aclweb.org/anthology/P19-1552.pdf |
2019 |
ACL |
# optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, pre-word2vec, pre-glove |
1 |
Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing |
Sijie Mai, Haifeng Hu, Songlong Xing |
https://www.aclweb.org/anthology/P19-1046.pdf |
2019 |
ACL |
# optim-adam, optim-amsgrad, optim-projection, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling |
Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman |
https://www.aclweb.org/anthology/P19-1439.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, task-condlm |
4 |
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue |
Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández |
https://www.aclweb.org/anthology/P19-1184.pdf |
2019 |
ACL |
# train-mll, arch-lstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, loss-svd |
1 |
Relational Word Embeddings |
Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert |
https://www.aclweb.org/anthology/P19-1318.pdf |
2019 |
ACL |
# optim-adam, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, task-textpair |
0 |
Predicting Human Activities from User-Generated Content |
Steven Wilson, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1245.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-fasttext, pre-glove, latent-vae, task-relation |
1 |
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis |
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
https://www.aclweb.org/anthology/P19-1048.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-paravec, task-condlm, task-seq2seq |
1 |
Improving Visual Question Answering by Referring to Generated Paragraph Captions |
Hyounghun Kim, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1351.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-active, arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, loss-nce, task-seqlab, task-relation |
0 |
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains |
Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1265.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, nondif-straightthrough, nondif-reinforce, latent-vae, task-textclass, task-textpair, task-lm |
3 |
Interpretable Neural Predictions with Differentiable Binary Variables |
Joost Bastings, Wilker Aziz, Ivan Titov |
https://www.aclweb.org/anthology/P19-1284.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq |
3 |
Neural News Recommendation with Long- and Short-term User Representations |
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie |
https://www.aclweb.org/anthology/P19-1033.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-relation, task-graph |
2 |
Graph-based Dependency Parsing with Graph Neural Networks |
Tao Ji, Yuanbin Wu, Man Lan |
https://www.aclweb.org/anthology/P19-1237.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree |
1 |
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming |
Caio Corro, Ivan Titov |
https://www.aclweb.org/anthology/P19-1551.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, pre-glove, struct-crf, task-seqlab |
3 |
Joint Entity Extraction and Assertion Detection for Clinical Text |
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia |
https://www.aclweb.org/anthology/P19-1091.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, struct-crf, task-textclass |
3 |
Transfer Capsule Network for Aspect Level Sentiment Classification |
Zhuang Chen, Tieyun Qian |
https://www.aclweb.org/anthology/P19-1052.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, comb-ensemble, task-seq2seq, task-tree |
0 |
Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions |
Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang |
https://www.aclweb.org/anthology/P19-1619.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-glove, pre-bert, task-textclass, task-seqlab, task-seq2seq |
4 |
DocRED: A Large-Scale Document-Level Relation Extraction Dataset |
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun |
https://www.aclweb.org/anthology/P19-1074.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-treelstm, arch-att, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-seq2seq, task-alignment |
0 |
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation |
Nitika Mathur, Timothy Baldwin, Trevor Cohn |
https://www.aclweb.org/anthology/P19-1269.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, pre-glove, loss-cca, task-seq2seq |
0 |
Exploring Author Context for Detecting Intended vs Perceived Sarcasm |
Silviu Oprea, Walid Magdy |
https://www.aclweb.org/anthology/P19-1275.pdf |
2019 |
ACL |
# arch-lstm, arch-att |
0 |
Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering |
Claudio Greco, Barbara Plank, Raquel Fernández, Raffaella Bernardi |
https://www.aclweb.org/anthology/P19-1350.pdf |
2019 |
ACL |
# optim-adam, train-transfer, arch-lstm, arch-coverage, task-lm |
1 |
How Large Are Lions? Inducing Distributions over Quantitative Attributes |
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth |
https://www.aclweb.org/anthology/P19-1388.pdf |
2019 |
ACL |
# train-augment, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, search-beam, pre-glove |
10 |
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation |
Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie, Jason Baldridge |
https://www.aclweb.org/anthology/P19-1181.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-bert, task-spanlab, task-seq2seq |
0 |
Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension |
Zhengyuan Liu, Nancy Chen |
https://www.aclweb.org/anthology/P19-1543.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-condlm, task-seq2seq |
2 |
Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning |
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1652.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-subword, arch-transformer, pre-fasttext, pre-skipthought, pre-bert, struct-cfg, task-textpair, task-lm, task-tree |
5 |
Correlating Neural and Symbolic Representations of Language |
Grzegorz Chrupała, Afra Alishahi |
https://www.aclweb.org/anthology/P19-1283.pdf |
2019 |
ACL |
# init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, pre-elmo, pre-bert, struct-crf, task-textclass |
12 |
Joint Slot Filling and Intent Detection via Capsule Neural Networks |
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip Yu |
https://www.aclweb.org/anthology/P19-1519.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, pre-bert, latent-vae, task-textpair, task-spanlab, task-lm, task-tree |
5 |
Latent Retrieval for Weakly Supervised Open Domain Question Answering |
Kenton Lee, Ming-Wei Chang, Kristina Toutanova |
https://www.aclweb.org/anthology/P19-1612.pdf |
2019 |
ACL |
# arch-lstm, struct-crf, task-seqlab, task-seq2seq |
0 |
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models |
Ruibo Wang, Jihong Li |
https://www.aclweb.org/anthology/P19-1405.pdf |
2019 |
ACL |
# arch-lstm, search-beam, latent-vae, task-lm, task-condlm |
0 |
Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories |
Sina Zarrieß, David Schlangen |
https://www.aclweb.org/anthology/P19-1063.pdf |
2019 |
ACL |
# train-mtl, pool-max, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, task-lm, task-seq2seq, task-relation |
0 |
Empirical Linguistic Study of Sentence Embeddings |
Katarzyna Krasnowska-Kieraś, Alina Wróblewska |
https://www.aclweb.org/anthology/P19-1573.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq |
1 |
Towards Fine-grained Text Sentiment Transfer |
Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun |
https://www.aclweb.org/anthology/P19-1194.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-bilstm, pre-elmo, task-lm |
0 |
Putting Words in Context: LSTM Language Models and Lexical Ambiguity |
Laura Aina, Kristina Gulordava, Gemma Boleda |
https://www.aclweb.org/anthology/P19-1324.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, arch-subword, pre-elmo, task-textpair, task-lm, task-seq2seq |
0 |
Towards Language Agnostic Universal Representations |
Armen Aghajanyan, Xia Song, Saurabh Tiwary |
https://www.aclweb.org/anthology/P19-1395.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-relation |
2 |
Multi-grained Named Entity Recognition |
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu |
https://www.aclweb.org/anthology/P19-1138.pdf |
2019 |
ACL |
# optim-adam, init-glorot, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, loss-nce, task-seq2seq |
0 |
Joint Effects of Context and User History for Predicting Online Conversation Re-entries |
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
https://www.aclweb.org/anthology/P19-1270.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq |
3 |
Learning to Ask Unanswerable Questions for Machine Reading Comprehension |
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
https://www.aclweb.org/anthology/P19-1415.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, comb-ensemble, search-greedy, task-textclass, task-lm, task-condlm, task-seq2seq |
3 |
A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification |
Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun |
https://www.aclweb.org/anthology/P19-1518.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass, task-lm |
9 |
Multilingual Constituency Parsing with Self-Attention and Pre-Training |
Nikita Kitaev, Steven Cao, Dan Klein |
https://www.aclweb.org/anthology/P19-1340.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, reg-patience, train-mll, arch-lstm, arch-subword, task-lm, task-seq2seq, task-relation |
0 |
Better Character Language Modeling through Morphology |
Terra Blevins, Luke Zettlemoyer |
https://www.aclweb.org/anthology/P19-1156.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, train-augment, arch-lstm, arch-att, arch-subword, arch-transformer, adv-examp, task-seq2seq |
5 |
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding |
Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He |
https://www.aclweb.org/anthology/P19-1291.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, struct-crf, task-textclass |
0 |
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes |
Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, Vivek Srikumar |
https://www.aclweb.org/anthology/P19-1563.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-att, search-beam, nondif-reinforce, loss-nce, task-seq2seq, task-tree |
0 |
Unified Semantic Parsing with Weak Supervision |
Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan |
https://www.aclweb.org/anthology/P19-1473.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, pre-glove, task-textpair |
0 |
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models |
Vesna Djokic, Jean Maillard, Luana Bulat, Ekaterina Shutova |
https://www.aclweb.org/anthology/P19-1508.pdf |
2019 |
ACL |
# optim-projection, arch-lstm, arch-att, arch-selfatt, struct-crf, task-seqlab, task-relation |
3 |
Crowdsourcing and Aggregating Nested Markable Annotations |
Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio |
https://www.aclweb.org/anthology/P19-1077.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-residual, arch-gating, arch-subword, arch-transformer, comb-ensemble, search-beam, task-textclass, task-seq2seq |
1 |
Depth Growing for Neural Machine Translation |
Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
https://www.aclweb.org/anthology/P19-1558.pdf |
2019 |
ACL |
# train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-word2vec, adv-train, latent-vae |
2 |
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation |
Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou |
https://www.aclweb.org/anthology/P19-1192.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, arch-memo, pre-word2vec, latent-topic, task-textpair, task-seqlab, task-condlm |
1 |
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network |
Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou |
https://www.aclweb.org/anthology/P19-1345.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, task-lm |
1 |
Relating Simple Sentence Representations in Deep Neural Networks and the Brain |
Sharmistha Jat, Hao Tang, Partha Talukdar, Tom Mitchell |
https://www.aclweb.org/anthology/P19-1507.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-residual, arch-memo, comb-ensemble, pre-glove, task-textpair, task-condlm, task-tree |
2 |
Simple and Effective Text Matching with Richer Alignment Features |
Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen |
https://www.aclweb.org/anthology/P19-1465.pdf |
2019 |
ACL |
# optim-sgd, arch-lstm, arch-att, arch-memo, nondif-reinforce, task-lm |
2 |
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. |
Pushkar Shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang |
https://www.aclweb.org/anthology/P19-1646.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, norm-gradient, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-glove, task-tree |
2 |
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network |
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/P19-1423.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, comb-ensemble, search-beam, search-viterbi, pre-word2vec, pre-elmo, pre-bert, task-lm |
0 |
Cross-Domain Generalization of Neural Constituency Parsers |
Daniel Fried, Nikita Kitaev, Dan Klein |
https://www.aclweb.org/anthology/P19-1031.pdf |
2019 |
ACL |
# init-glorot, train-transfer, train-active, arch-lstm |
0 |
Budgeted Policy Learning for Task-Oriented Dialogue Systems |
Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen |
https://www.aclweb.org/anthology/P19-1364.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-patience, train-mll, arch-rnn, arch-lstm |
1 |
Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning |
Nicole Mirea, Klinton Bicknell |
https://www.aclweb.org/anthology/P19-1155.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-batch, norm-gradient, train-transfer, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-elmo, loss-cca, task-lm, task-seq2seq, task-alignment |
1 |
Multimodal and Multi-view Models for Emotion Recognition |
Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang |
https://www.aclweb.org/anthology/P19-1095.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, pre-glove, task-spanlab, task-seq2seq |
0 |
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text |
Jianxing Yu, Zhengjun Zha, Jian Yin |
https://www.aclweb.org/anthology/P19-1217.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-bilinear, pre-glove, task-spanlab |
0 |
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension |
Daesik Kim, Seonhoon Kim, Nojun Kwak |
https://www.aclweb.org/anthology/P19-1347.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, loss-margin, task-spanlab, task-lm |
2 |
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension |
An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li |
https://www.aclweb.org/anthology/P19-1226.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-glove, pre-bert, task-lm, task-condlm, task-seq2seq |
1 |
Comparison of Diverse Decoding Methods from Conditional Language Models |
Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova, Chris Callison-Burch |
https://www.aclweb.org/anthology/P19-1365.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq, meta-init |
5 |
Domain Adaptive Dialog Generation via Meta Learning |
Kun Qian, Zhou Yu |
https://www.aclweb.org/anthology/P19-1253.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-coverage, arch-subword, task-lm |
3 |
Meaning to Form: Measuring Systematicity as Information |
Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell |
https://www.aclweb.org/anthology/P19-1171.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-augment, arch-lstm, arch-att, arch-copy, pre-bert, struct-cfg, task-seq2seq, task-tree |
4 |
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation |
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang |
https://www.aclweb.org/anthology/P19-1444.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq |
5 |
Sparse Sequence-to-Sequence Models |
Ben Peters, Vlad Niculae, André F. T. Martins |
https://www.aclweb.org/anthology/P19-1146.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm |
1 |
Manipulating the Difficulty of C-Tests |
Ji-Ung Lee, Erik Schwan, Christian M. Meyer |
https://www.aclweb.org/anthology/P19-1035.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, struct-cfg, adv-train, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Language Modeling with Shared Grammar |
Yuyu Zhang, Le Song |
https://www.aclweb.org/anthology/P19-1437.pdf |
2019 |
ACL |
# arch-lstm, arch-att, pre-elmo, pre-bert, task-lm |
2 |
Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation |
Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao |
https://www.aclweb.org/anthology/P19-1393.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq |
10 |
Is Word Segmentation Necessary for Deep Learning of Chinese Representations? |
Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li |
https://www.aclweb.org/anthology/P19-1314.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-textclass, task-extractive, task-lm, task-seq2seq |
4 |
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model |
Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir Radev |
https://www.aclweb.org/anthology/P19-1102.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, pre-glove, struct-crf, task-textpair |
14 |
A Large-Scale Corpus for Conversation Disentanglement |
Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph J. Peper, Vignesh Athreya, Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros C Polymenakos, Walter Lasecki |
https://www.aclweb.org/anthology/P19-1374.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, task-spanlab, task-condlm |
3 |
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives |
Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang |
https://www.aclweb.org/anthology/P19-1486.pdf |
2019 |
ACL |
# train-mtl, pool-max, arch-lstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, pre-fasttext, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-tree |
10 |
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications |
Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang |
https://www.aclweb.org/anthology/P19-1150.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-viterbi, struct-crf, latent-vae, loss-nce, task-relation, task-tree |
1 |
Enhancing Unsupervised Generative Dependency Parser with Contextual Information |
Wenjuan Han, Yong Jiang, Kewei Tu |
https://www.aclweb.org/anthology/P19-1526.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-skipthought, task-textclass |
0 |
Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media |
Chang Li, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1247.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation |
2 |
Visually Grounded Neural Syntax Acquisition |
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu |
https://www.aclweb.org/anthology/P19-1180.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-elmo, latent-topic, task-textclass |
9 |
The Risk of Racial Bias in Hate Speech Detection |
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1163.pdf |
2019 |
ACL |
# reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, task-seq2seq |
1 |
CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks |
Roberto Dessì, Marco Baroni |
https://www.aclweb.org/anthology/P19-1381.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq, meta-arch |
1 |
Continual and Multi-Task Architecture Search |
Ramakanth Pasunuru, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1185.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-seq2seq |
0 |
Historical Text Normalization with Delayed Rewards |
Simon Flachs, Marcel Bollmann, Anders Søgaard |
https://www.aclweb.org/anthology/P19-1157.pdf |
2019 |
ACL |
# init-glorot, train-transfer, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, latent-topic, task-textclass, task-lm |
1 |
Zero-Shot Entity Linking by Reading Entity Descriptions |
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee |
https://www.aclweb.org/anthology/P19-1335.pdf |
2019 |
ACL |
# reg-dropout, arch-rnn, arch-lstm, arch-cnn, pre-glove, pre-elmo, task-lm, task-relation |
0 |
Identifying Visible Actions in Lifestyle Vlogs |
Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1643.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, struct-crf, latent-topic, loss-nce, task-textpair, task-seqlab, task-lm |
1 |
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways |
James Fiacco, Samridhi Choudhary, Carolyn Rose |
https://www.aclweb.org/anthology/P19-1575.pdf |
2019 |
ACL |
# optim-adam, train-transfer, arch-lstm, arch-treelstm, arch-bilinear, arch-coverage, search-viterbi, pre-glove, pre-elmo, task-textpair, task-relation, task-tree |
0 |
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation |
Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki |
https://www.aclweb.org/anthology/P19-1013.pdf |
2019 |
ACL |
# optim-adadelta, train-mll, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, comb-ensemble, pre-word2vec, pre-elmo, adv-train, task-lm, task-seq2seq |
0 |
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning |
Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1429.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq |
10 |
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog |
Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1648.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, pre-glove, task-seqlab |
0 |
Automatically Identifying Complaints in Social Media |
Daniel Preoţiuc-Pietro, Mihaela Gaman, Nikolaos Aletras |
https://www.aclweb.org/anthology/P19-1495.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, norm-batch, norm-gradient, train-mtl, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-textclass, task-lm |
1 |
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media |
Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata |
https://www.aclweb.org/anthology/P19-1241.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, meta-init |
1 |
Few-Shot Representation Learning for Out-Of-Vocabulary Words |
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun |
https://www.aclweb.org/anthology/P19-1402.pdf |
2019 |
ACL |
# reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-glove, struct-crf, adv-train, task-seqlab |
1 |
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records |
Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann |
https://www.aclweb.org/anthology/P19-1584.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-elmo, pre-bert, task-seqlab, task-spanlab, task-seq2seq |
0 |
MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension |
Xuanyu Zhang |
https://www.aclweb.org/anthology/P19-1622.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-att, task-textclass, task-seqlab |
0 |
You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification |
Angelo Basile, Albert Gatt, Malvina Nissim |
https://www.aclweb.org/anthology/P19-1246.pdf |
2019 |
ACL |
# reg-dropout, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-subword, latent-topic, task-textclass |
0 |
Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese |
Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu, Guodong Zhou |
https://www.aclweb.org/anthology/P19-1058.pdf |
2019 |
ACL |
# train-mtl, arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-bert, task-seq2seq |
1 |
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference |
Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1213.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-memo, pre-glove, latent-topic, task-lm, task-alignment |
1 |
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting |
Jeanne E. Daniel, Willie Brink, Ryan Eloff, Charles Copley |
https://www.aclweb.org/anthology/P19-1090.pdf |
2019 |
ACL |
# train-augment, arch-lstm, arch-att, arch-transformer, task-lm, task-condlm, task-seq2seq |
1 |
Visual Story Post-Editing |
Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Huang |
https://www.aclweb.org/anthology/P19-1658.pdf |
2019 |
ACL |
# optim-adagrad, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq |
0 |
On the Summarization of Consumer Health Questions |
Asma Ben Abacha, Dina Demner-Fushman |
https://www.aclweb.org/anthology/P19-1215.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, adv-examp, task-textclass, task-seq2seq |
2 |
On the Robustness of Self-Attentive Models |
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh |
https://www.aclweb.org/anthology/P19-1147.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, task-textclass, task-seqlab, task-lm |
0 |
On-device Structured and Context Partitioned Projection Networks |
Sujith Ravi, Zornitsa Kozareva |
https://www.aclweb.org/anthology/P19-1368.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, task-lm, task-condlm |
3 |
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication |
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh |
https://www.aclweb.org/anthology/P19-1651.pdf |
2019 |
ACL |
# arch-lstm, arch-coverage, struct-cfg, task-relation, task-tree, task-graph |
0 |
Semantic Expressive Capacity with Bounded Memory |
Antoine Venant, Alexander Koller |
https://www.aclweb.org/anthology/P19-1008.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, latent-topic, task-seq2seq |
3 |
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification |
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv |
https://www.aclweb.org/anthology/P19-1051.pdf |
2019 |
ACL |
# optim-adam, optim-amsgrad, init-glorot, pool-max, arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq |
0 |
Learning to Select, Track, and Generate for Data-to-Text |
Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura |
https://www.aclweb.org/anthology/P19-1202.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, search-greedy, task-seq2seq, task-tree |
16 |
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems |
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung |
https://www.aclweb.org/anthology/P19-1078.pdf |
2019 |
ACL |
# optim-adadelta, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gating, search-beam, search-viterbi, pre-elmo |
0 |
Improving Open Information Extraction via Iterative Rank-Aware Learning |
Zhengbao Jiang, Pengcheng Yin, Graham Neubig |
https://www.aclweb.org/anthology/P19-1523.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-lm |
0 |
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models |
Xiaolei Huang, Michael J. Paul |
https://www.aclweb.org/anthology/P19-1403.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, pool-max, arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-skipthought, latent-vae, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq |
1 |
Learning Compressed Sentence Representations for On-Device Text Processing |
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1011.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-word2vec, pre-glove, task-textclass |
2 |
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion |
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim |
https://www.aclweb.org/anthology/P19-1094.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, pre-glove, task-tree |
0 |
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader |
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
https://www.aclweb.org/anthology/P19-1417.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-textclass, task-seqlab |
1 |
The Language of Legal and Illegal Activity on the Darknet |
Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend |
https://www.aclweb.org/anthology/P19-1419.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, search-beam, pre-word2vec, adv-train, latent-vae, task-lm, task-condlm, task-seq2seq |
3 |
Retrieval-Enhanced Adversarial Training for Neural Response Generation |
Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei, Ting Liu |
https://www.aclweb.org/anthology/P19-1366.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-seq2seq |
4 |
Assessing the Ability of Self-Attention Networks to Learn Word Order |
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu |
https://www.aclweb.org/anthology/P19-1354.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-relation |
2 |
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction |
Christoph Alt, Marc Hübner, Leonhard Hennig |
https://www.aclweb.org/anthology/P19-1134.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm |
20 |
What Does BERT Learn about the Structure of Language? |
Ganesh Jawahar, Benoît Sagot, Djamé Seddah |
https://www.aclweb.org/anthology/P19-1356.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, search-viterbi, pre-skipthought, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq |
2 |
Extracting Symptoms and their Status from Clinical Conversations |
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran |
https://www.aclweb.org/anthology/P19-1087.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq |
5 |
Lattice Transformer for Speech Translation |
Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan |
https://www.aclweb.org/anthology/P19-1649.pdf |
2019 |
ACL |
# optim-sgd, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, search-beam, adv-examp, task-lm, task-condlm, task-seq2seq |
1 |
TIGS: An Inference Algorithm for Text Infilling with Gradient Search |
Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv |
https://www.aclweb.org/anthology/P19-1406.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass |
1 |
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good |
Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang, Zhou Yu |
https://www.aclweb.org/anthology/P19-1566.pdf |
2019 |
ACL |
# init-glorot, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-relation |
0 |
Embedding Time Expressions for Deep Temporal Ordering Models |
Tanya Goyal, Greg Durrett |
https://www.aclweb.org/anthology/P19-1433.pdf |
2019 |
ACL |
# optim-adam, train-active, arch-lstm, struct-crf |
0 |
Dataset Creation for Ranking Constructive News Comments |
Soichiro Fujita, Hayato Kobayashi, Manabu Okumura |
https://www.aclweb.org/anthology/P19-1250.pdf |
2019 |
ACL |
# reg-dropout, norm-batch, norm-gradient, activ-relu, arch-rnn, arch-lstm, arch-gcnn, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq, meta-arch |
194 |
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context |
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, Ruslan Salakhutdinov |
https://www.aclweb.org/anthology/P19-1285.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, pool-max, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-condlm, task-seq2seq |
1 |
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection |
Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu |
https://www.aclweb.org/anthology/P19-1006.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, search-viterbi, pre-glove, loss-nce, task-seq2seq, task-graph |
5 |
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue |
Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba |
https://www.aclweb.org/anthology/P19-1080.pdf |
2019 |
ACL |
# reg-dropout, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, adv-train, task-seq2seq |
0 |
Reference Network for Neural Machine Translation |
Han Fu, Chenghao Liu, Jianling Sun |
https://www.aclweb.org/anthology/P19-1287.pdf |
2019 |
ACL |
# train-mll, pool-max, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, task-textpair, task-extractive, task-seq2seq |
3 |
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization |
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu |
https://www.aclweb.org/anthology/P19-1098.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, struct-crf, loss-nce, task-textpair, task-seq2seq |
1 |
Optimal Transport-based Alignment of Learned Character Representations for String Similarity |
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum |
https://www.aclweb.org/anthology/P19-1592.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seqlab, task-seq2seq |
0 |
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title |
Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang, Man Lan |
https://www.aclweb.org/anthology/P19-1514.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-condlm |
1 |
Learning to Discover, Ground and Use Words with Segmental Neural Language Models |
Kazuya Kawakami, Chris Dyer, Phil Blunsom |
https://www.aclweb.org/anthology/P19-1645.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, arch-energy, comb-ensemble, search-beam, task-seq2seq, task-relation, task-tree |
2 |
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies |
Shuhei Kurita, Anders Søgaard |
https://www.aclweb.org/anthology/P19-1232.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, arch-lstm, arch-cnn, arch-att, arch-memo |
0 |
Quantifying Similarity between Relations with Fact Distribution |
Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun |
https://www.aclweb.org/anthology/P19-1278.pdf |
2019 |
ACL |
# optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-beam, task-seqlab, task-lm, task-condlm, task-seq2seq, task-relation |
0 |
Generating Responses with a Specific Emotion in Dialog |
Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1359.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-transfer, train-active, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq |
0 |
Self-Regulated Interactive Sequence-to-Sequence Learning |
Julia Kreutzer, Stefan Riezler |
https://www.aclweb.org/anthology/P19-1029.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, search-beam, loss-margin, task-seq2seq |
4 |
Neural Relation Extraction for Knowledge Base Enrichment |
Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang |
https://www.aclweb.org/anthology/P19-1023.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon |
2 |
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts |
Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1264.pdf |
2019 |
ACL |
# optim-adam, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, task-lm, task-seq2seq, task-tree |
1 |
Semantic Parsing with Dual Learning |
Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu |
https://www.aclweb.org/anthology/P19-1007.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-gating, arch-memo, arch-coverage, pre-word2vec, adv-train, latent-vae, task-seq2seq |
0 |
Enhancing Topic-to-Essay Generation with External Commonsense Knowledge |
Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun |
https://www.aclweb.org/anthology/P19-1193.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, struct-crf, loss-nce, task-seqlab, task-lexicon |
0 |
NNE: A Dataset for Nested Named Entity Recognition in English Newswire |
Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris, James R. Curran |
https://www.aclweb.org/anthology/P19-1510.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq |
2 |
Exact Hard Monotonic Attention for Character-Level Transduction |
Shijie Wu, Ryan Cotterell |
https://www.aclweb.org/anthology/P19-1148.pdf |
2019 |
ACL |
# reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, adv-train, task-seqlab |
0 |
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data |
Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang |
https://www.aclweb.org/anthology/P19-1130.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, norm-gradient, train-mtl, train-mll, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, search-beam, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm |
3 |
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling |
Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou |
https://www.aclweb.org/anthology/P19-1233.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq |
4 |
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction |
Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita |
https://www.aclweb.org/anthology/P19-1225.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-spanlab, task-seq2seq |
2 |
Explicit Utilization of General Knowledge in Machine Reading Comprehension |
Chao Wang, Hui Jiang |
https://www.aclweb.org/anthology/P19-1219.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, latent-vae, task-relation |
0 |
Data Programming for Learning Discourse Structure |
Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher |
https://www.aclweb.org/anthology/P19-1061.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, comb-ensemble, pre-glove, latent-topic, task-condlm |
1 |
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts |
Alakananda Vempala, Daniel Preoţiuc-Pietro |
https://www.aclweb.org/anthology/P19-1272.pdf |
2019 |
ACL |
# reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, task-textclass, task-seqlab, task-seq2seq |
0 |
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning |
Quanzhi Li, Qiong Zhang, Luo Si |
https://www.aclweb.org/anthology/P19-1113.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-transformer, comb-ensemble, pre-word2vec, task-seqlab, task-lm, task-seq2seq, task-relation |
4 |
Open Vocabulary Learning for Neural Chinese Pinyin IME |
Zhuosheng Zhang, Yafang Huang, Hai Zhao |
https://www.aclweb.org/anthology/P19-1154.pdf |
2019 |
ACL |
# optim-adam, optim-amsgrad, init-glorot, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, struct-crf, task-relation, task-tree |
1 |
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks |
Xinyu Wang, Jingxian Huang, Kewei Tu |
https://www.aclweb.org/anthology/P19-1454.pdf |
2019 |
ACL |
# train-mtl, arch-rnn, arch-lstm, arch-att, arch-copy, task-lm, task-seq2seq |
0 |
Automated Chess Commentator Powered by Neural Chess Engine |
Hongyu Zang, Zhiwei Yu, Xiaojun Wan |
https://www.aclweb.org/anthology/P19-1597.pdf |
2019 |
ACL |
# train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, pre-glove, adv-examp, adv-train, task-textclass |
68 |
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency |
Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che |
https://www.aclweb.org/anthology/P19-1103.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-condlm, task-seq2seq |
1 |
Negative Lexically Constrained Decoding for Paraphrase Generation |
Tomoyuki Kajiwara |
https://www.aclweb.org/anthology/P19-1607.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-bilinear, task-textclass, task-spanlab, task-seq2seq |
0 |
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test |
Chujie Zheng, Minlie Huang, Aixin Sun |
https://www.aclweb.org/anthology/P19-1075.pdf |
2019 |
ACL |
# train-mtl, train-transfer, arch-lstm, arch-att, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq, task-cloze |
6 |
Pretraining Methods for Dialog Context Representation Learning |
Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, Maxine Eskenazi |
https://www.aclweb.org/anthology/P19-1373.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-relation, task-tree, task-graph, task-alignment |
4 |
Compositional Semantic Parsing across Graphbanks |
Matthias Lindemann, Jonas Groschwitz, Alexander Koller |
https://www.aclweb.org/anthology/P19-1450.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-relu, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-spanlab |
0 |
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts |
Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa |
https://www.aclweb.org/anthology/P19-1414.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mll, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-tree |
6 |
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network |
Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu |
https://www.aclweb.org/anthology/P19-1304.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-paravec, pre-bert, adv-examp, task-spanlab |
2 |
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension |
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li |
https://www.aclweb.org/anthology/P19-1221.pdf |
2019 |
ACL |
# optim-projection, arch-lstm, arch-att, arch-coverage, pre-glove, task-tree |
0 |
SParC: Cross-Domain Semantic Parsing in Context |
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir Radev |
https://www.aclweb.org/anthology/P19-1443.pdf |
2019 |
ACL |
# train-mll, arch-lstm, arch-att, arch-transformer, comb-ensemble, search-beam, loss-nce, task-seq2seq |
0 |
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study |
Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou |
https://www.aclweb.org/anthology/P19-1609.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-coverage, search-beam, pre-word2vec, pre-bert, nondif-reinforce, latent-vae, task-seqlab, task-condlm, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning |
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros |
https://www.aclweb.org/anthology/P19-1451.pdf |
2019 |
ACL |
# reg-labelsmooth, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, search-beam, pre-word2vec, task-seqlab, task-seq2seq, task-relation |
0 |
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages |
Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal |
https://www.aclweb.org/anthology/P19-1111.pdf |
2019 |
ACL |
# reg-stopping, arch-lstm, struct-crf, task-textpair, task-lm, task-seq2seq, task-alignment |
0 |
Neural Network Alignment for Sentential Paraphrases |
Jessica Ouyang, Kathy McKeown |
https://www.aclweb.org/anthology/P19-1467.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-lstm, arch-att, arch-subword, search-greedy, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment |
1 |
Unsupervised Pivot Translation for Distant Languages |
Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu |
https://www.aclweb.org/anthology/P19-1017.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, loss-margin, task-textpair, task-seq2seq, task-relation |
1 |
Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks |
Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong |
https://www.aclweb.org/anthology/P19-1244.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, adv-examp, task-spanlab, task-seq2seq, task-alignment |
1 |
Improving the Robustness of Question Answering Systems to Question Paraphrasing |
Wee Chung Gan, Hwee Tou Ng |
https://www.aclweb.org/anthology/P19-1610.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-textpair, task-seqlab, task-spanlab, task-seq2seq |
2 |
Augmenting Neural Networks with First-order Logic |
Tao Li, Vivek Srikumar |
https://www.aclweb.org/anthology/P19-1028.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, struct-cfg, adv-train, latent-vae, task-lm, task-seq2seq |
0 |
Generating Sentences from Disentangled Syntactic and Semantic Spaces |
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/P19-1602.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-margin, task-lm, task-seq2seq |
0 |
Self-Supervised Neural Machine Translation |
Dana Ruiter, Cristina España-Bonet, Josef van Genabith |
https://www.aclweb.org/anthology/P19-1178.pdf |
2019 |
ACL |
# optim-adam, train-curriculum, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, task-lm, task-relation |
0 |
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems |
Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/P19-1370.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-batch, norm-gradient, arch-lstm, arch-att, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq |
2 |
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets |
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao |
https://www.aclweb.org/anthology/P19-1435.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, struct-crf, task-seqlab, task-seq2seq |
1 |
A Neural Multi-digraph Model for Chinese NER with Gazetteers |
Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si |
https://www.aclweb.org/anthology/P19-1141.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-lm, task-seq2seq |
1 |
Knowledge-aware Pronoun Coreference Resolution |
Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu |
https://www.aclweb.org/anthology/P19-1083.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, comb-ensemble, pre-glove, latent-vae |
3 |
Graph Neural Networks with Generated Parameters for Relation Extraction |
Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun |
https://www.aclweb.org/anthology/P19-1128.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, task-seq2seq |
0 |
Argument Generation with Retrieval, Planning, and Realization |
Xinyu Hua, Zhe Hu, Lu Wang |
https://www.aclweb.org/anthology/P19-1255.pdf |
2019 |
ACL |
# optim-projection, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, search-viterbi, pre-fasttext, pre-bert, struct-crf |
1 |
Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates |
Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn |
https://www.aclweb.org/anthology/P19-1273.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-elmo, pre-bert, struct-hmm, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze |
0 |
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization |
Xingxing Zhang, Furu Wei, Ming Zhou |
https://www.aclweb.org/anthology/P19-1499.pdf |
2019 |
ACL |
# optim-sgd, reg-norm, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, search-viterbi, pre-glove, pre-elmo, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq |
0 |
Cross-Domain NER using Cross-Domain Language Modeling |
Chen Jia, Xiaobo Liang, Yue Zhang |
https://www.aclweb.org/anthology/P19-1236.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-lm, task-seq2seq |
1 |
Attention Is (not) All You Need for Commonsense Reasoning |
Tassilo Klein, Moin Nabi |
https://www.aclweb.org/anthology/P19-1477.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-bert, task-textpair, task-lm, task-tree |
37 |
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference |
Tom McCoy, Ellie Pavlick, Tal Linzen |
https://www.aclweb.org/anthology/P19-1334.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq |
0 |
Using Human Attention to Extract Keyphrase from Microblog Post |
Yingyi Zhang, Chengzhi Zhang |
https://www.aclweb.org/anthology/P19-1588.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, struct-crf, task-lm, task-tree |
0 |
Rationally Reappraising ATIS-based Dialogue Systems |
Jingcheng Niu, Gerald Penn |
https://www.aclweb.org/anthology/P19-1550.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-copy, search-beam, latent-vae, latent-topic, task-textclass, task-seq2seq |
3 |
Topic-Aware Neural Keyphrase Generation for Social Media Language |
Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi |
https://www.aclweb.org/anthology/P19-1240.pdf |
2019 |
ACL |
# optim-adam, init-glorot, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, nondif-reinforce, task-lm, task-condlm, task-seq2seq, task-alignment |
0 |
Towards Comprehensive Description Generation from Factual Attribute-value Tables |
Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui |
https://www.aclweb.org/anthology/P19-1600.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree |
1 |
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder |
Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko |
https://www.aclweb.org/anthology/P19-1407.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-att, arch-coverage, latent-vae, task-lm, task-seq2seq, task-tree |
0 |
Syntax-Infused Variational Autoencoder for Text Generation |
Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1199.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-word2vec, struct-crf, task-seq2seq |
0 |
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts |
Rui Xia, Zixiang Ding |
https://www.aclweb.org/anthology/P19-1096.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-subword, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq |
2 |
Like a Baby: Visually Situated Neural Language Acquisition |
Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter |
https://www.aclweb.org/anthology/P19-1506.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-patience, train-mtl, arch-lstm, arch-att, arch-copy, search-beam, nondif-reinforce, task-lm, task-seq2seq, task-tree, task-graph |
1 |
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization |
Hai Ye, Wenjie Li, Lu Wang |
https://www.aclweb.org/anthology/P19-1201.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gnn, arch-subword, pre-glove, task-seq2seq, meta-init |
0 |
Embedding Imputation with Grounded Language Information |
Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve |
https://www.aclweb.org/anthology/P19-1326.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, norm-gradient, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion |
Suyoun Kim, Siddharth Dalmia, Florian Metze |
https://www.aclweb.org/anthology/P19-1107.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-coverage, comb-ensemble, task-textpair, task-lm, task-seq2seq, task-tree |
3 |
An Imitation Learning Approach to Unsupervised Parsing |
Bowen Li, Lili Mou, Frank Keller |
https://www.aclweb.org/anthology/P19-1338.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-lm |
0 |
Better Exploiting Latent Variables in Text Modeling |
Canasai Kruengkrai |
https://www.aclweb.org/anthology/P19-1553.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph |
2 |
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model |
Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun |
https://www.aclweb.org/anthology/P19-1479.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree |
0 |
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models |
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1200.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, norm-layer, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-tree |
4 |
Decomposable Neural Paraphrase Generation |
Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu |
https://www.aclweb.org/anthology/P19-1332.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, task-seqlab |
3 |
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation |
Daniel Loureiro, Alípio Jorge |
https://www.aclweb.org/anthology/P19-1569.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm |
1 |
Complex Word Identification as a Sequence Labelling Task |
Sian Gooding, Ekaterina Kochmar |
https://www.aclweb.org/anthology/P19-1109.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-att, arch-memo, pre-glove, task-textpair, task-condlm |
10 |
Dialogue Natural Language Inference |
Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho |
https://www.aclweb.org/anthology/P19-1363.pdf |
2019 |
ACL |
# reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab |
1 |
Towards Improving Neural Named Entity Recognition with Gazetteers |
Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin |
https://www.aclweb.org/anthology/P19-1524.pdf |
2019 |
ACL |
# reg-dropout, arch-lstm, arch-cnn, pre-word2vec, struct-crf, struct-cfg, meta-arch |
1 |
AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text |
Suilan Estevez-Velarde, Yoan Gutiérrez, Andrés Montoyo, Yudivián Almeida-Cruz |
https://www.aclweb.org/anthology/P19-1428.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-bilinear, pre-bert, nondif-minrisk, nondif-reinforce, loss-nce, task-spanlab, task-lm, task-relation |
7 |
Entity-Relation Extraction as Multi-Turn Question Answering |
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li |
https://www.aclweb.org/anthology/P19-1129.pdf |
2019 |
ACL |
# optim-adam, reg-decay, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-paravec, latent-topic, task-relation |
0 |
Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls |
Katherine Keith, Amanda Stent |
https://www.aclweb.org/anthology/P19-1047.pdf |
2019 |
ACL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm, task-tree |
0 |
Towards Lossless Encoding of Sentences |
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp |
https://www.aclweb.org/anthology/P19-1153.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-seqlab |
2 |
Robust Representation Learning of Biomedical Names |
Minh C. Phan, Aixin Sun, Yi Tay |
https://www.aclweb.org/anthology/P19-1317.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-gating, pre-glove, struct-crf, adv-train, loss-nce, task-textclass, task-seqlab, task-lm |
0 |
Multi-Task Networks with Universe, Group, and Task Feature Learning |
Shiva Pentyala, Mengwen Liu, Markus Dreyer |
https://www.aclweb.org/anthology/P19-1079.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, comb-ensemble, task-textclass, task-lm, task-seq2seq |
0 |
StRE: Self Attentive Edit Quality Prediction in Wikipedia |
Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee |
https://www.aclweb.org/anthology/P19-1387.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-energy, search-viterbi, struct-crf, latent-topic, task-seqlab, task-lm |
1 |
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction |
Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang |
https://www.aclweb.org/anthology/P19-1056.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, train-transfer, pool-max, pool-kmax, arch-lstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-fasttext, task-lm, task-seq2seq, task-lexicon, task-alignment |
0 |
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations |
Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, William Hu, Neha Verma, Dragomir Radev |
https://www.aclweb.org/anthology/P19-1306.pdf |
2019 |
ACL |
# train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq |
0 |
Literary Event Detection |
Matthew Sims, Jong Ho Park, David Bamman |
https://www.aclweb.org/anthology/P19-1353.pdf |
2019 |
ACL |
# init-glorot, arch-rnn, arch-lstm, arch-gru, comb-ensemble, struct-hmm, loss-svd, task-lm |
0 |
Interpolated Spectral NGram Language Models |
Ariadna Quattoni, Xavier Carreras |
https://www.aclweb.org/anthology/P19-1594.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-bert, adv-examp, adv-train, latent-vae, task-textclass, task-textpair, task-seq2seq |
0 |
Soft Representation Learning for Sparse Transfer |
Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang |
https://www.aclweb.org/anthology/P19-1151.pdf |
2019 |
ACL |
# optim-sgd, optim-projection, reg-dropout, reg-stopping, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, pre-bert, task-textclass, task-spanlab, task-lm, task-tree |
5 |
Training Neural Response Selection for Task-Oriented Dialogue Systems |
Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su |
https://www.aclweb.org/anthology/P19-1536.pdf |
2019 |
ACL |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-condlm |
0 |
What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues |
Yu Qin, Yi Yang |
https://www.aclweb.org/anthology/P19-1038.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-att, task-seq2seq |
1 |
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection |
Maria Corkery, Yevgen Matusevych, Sharon Goldwater |
https://www.aclweb.org/anthology/P19-1376.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, adv-train, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment |
1 |
Domain Adaptation of Neural Machine Translation by Lexicon Induction |
Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell |
https://www.aclweb.org/anthology/P19-1286.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-lstm, arch-coverage, pre-word2vec, task-seq2seq |
3 |
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning |
Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1572.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-glove, pre-bert, task-spanlab, task-seq2seq |
4 |
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading |
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1539.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, task-textpair, task-seq2seq |
1 |
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation |
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
https://www.aclweb.org/anthology/P19-1362.pdf |
2019 |
ACL |
# optim-adadelta, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-glove, struct-crf, task-seqlab |
4 |
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks |
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1511.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mtl, train-mll, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, adv-train |
2 |
Adversarial Attention Modeling for Multi-dimensional Emotion Regression |
Suyang Zhu, Shoushan Li, Guodong Zhou |
https://www.aclweb.org/anthology/P19-1045.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-coverage, arch-subword, search-beam, pre-elmo, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
Generating Question-Answer Hierarchies |
Kalpesh Krishna, Mohit Iyyer |
https://www.aclweb.org/anthology/P19-1224.pdf |
2019 |
ACL |
# arch-lstm, arch-att, arch-subword, pre-word2vec, task-textclass, task-lm, task-tree |
0 |
Large Dataset and Language Model Fun-Tuning for Humor Recognition |
Vladislav Blinov, Valeria Bolotova-Baranova, Pavel Braslavski |
https://www.aclweb.org/anthology/P19-1394.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-elmo, loss-margin, task-lm, task-condlm, task-seq2seq |
0 |
Multi-grained Attention with Object-level Grounding for Visual Question Answering |
Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao, Yong Zhu |
https://www.aclweb.org/anthology/P19-1349.pdf |
2019 |
ACL |
# arch-lstm, arch-att, arch-memo, pre-glove |
2 |
Context-aware Embedding for Targeted Aspect-based Sentiment Analysis |
Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li, Hejiao Huang |
https://www.aclweb.org/anthology/P19-1462.pdf |
2019 |
ACL |
# optim-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-coverage, arch-subword, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment |
0 |
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction |
Mengjie Zhao, Hinrich Schütze |
https://www.aclweb.org/anthology/P19-1341.pdf |
2019 |
ACL |
# reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, pre-fasttext |
0 |
Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays |
Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng |
https://www.aclweb.org/anthology/P19-1390.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, comb-ensemble, struct-crf |
1 |
Cost-sensitive Regularization for Label Confusion-aware Event Detection |
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1521.pdf |
2019 |
ACL |
# reg-dropout, train-mll, arch-lstm, arch-att, task-seq2seq |
1 |
Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table |
Matthew Shardlow, Raheel Nawaz |
https://www.aclweb.org/anthology/P19-1037.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-gating, arch-transformer, comb-ensemble, search-beam, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq |
5 |
Multi-style Generative Reading Comprehension |
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita |
https://www.aclweb.org/anthology/P19-1220.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, adv-train, loss-nce, task-seqlab, task-relation |
2 |
Reinforced Training Data Selection for Domain Adaptation |
Miaofeng Liu, Yan Song, Hongbin Zou, Tong Zhang |
https://www.aclweb.org/anthology/P19-1189.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, pre-glove, task-textclass, task-condlm |
1 |
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model |
Yitao Cai, Huiyu Cai, Xiaojun Wan |
https://www.aclweb.org/anthology/P19-1239.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, task-lm, task-seq2seq, task-lexicon |
0 |
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories |
Ignacio Iacobacci, Roberto Navigli |
https://www.aclweb.org/anthology/P19-1165.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, pre-glove |
13 |
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations |
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1050.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-relation |
3 |
Reliability-aware Dynamic Feature Composition for Name Tagging |
Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han |
https://www.aclweb.org/anthology/P19-1016.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, arch-subword, pre-glove, pre-bert, struct-crf, task-seqlab, task-spanlab, task-lm, task-seq2seq |
1 |
A Lightweight Recurrent Network for Sequence Modeling |
Biao Zhang, Rico Sennrich |
https://www.aclweb.org/anthology/P19-1149.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq, task-relation |
5 |
Lattice-Based Transformer Encoder for Neural Machine Translation |
Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen |
https://www.aclweb.org/anthology/P19-1298.pdf |
2019 |
ACL |
# optim-adam, optim-projection, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, arch-memo, pre-glove, adv-examp, adv-train, task-spanlab |
2 |
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1262.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab |
3 |
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension |
Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1261.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-energy, arch-transformer, search-beam, task-seq2seq |
2 |
Self-Attentional Models for Lattice Inputs |
Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel |
https://www.aclweb.org/anthology/P19-1115.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, norm-batch, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, latent-vae, latent-topic, task-lm |
1 |
Open Domain Event Extraction Using Neural Latent Variable Models |
Xiao Liu, Heyan Huang, Yue Zhang |
https://www.aclweb.org/anthology/P19-1276.pdf |
2019 |
ACL |
# reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, task-seq2seq, task-lexicon |
1 |
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering |
Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen |
https://www.aclweb.org/anthology/P19-1616.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, latent-vae, loss-margin, task-seq2seq |
2 |
Latent Variable Model for Multi-modal Translation |
Iacer Calixto, Miguel Rios, Wilker Aziz |
https://www.aclweb.org/anthology/P19-1642.pdf |
2019 |
ACL |
# optim-adagrad, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, adv-train, task-textpair, task-seqlab |
5 |
OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs |
Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba |
https://www.aclweb.org/anthology/P19-1081.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-subword, pre-glove, pre-elmo, task-textclass, task-lm, task-relation |
2 |
Unsupervised Learning of PCFGs with Normalizing Flow |
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz, William Schuler |
https://www.aclweb.org/anthology/P19-1234.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq |
1 |
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer |
Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun |
https://www.aclweb.org/anthology/P19-1482.pdf |
2019 |
ACL |
# optim-adagrad, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq |
2 |
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization |
Eva Sharma, Chen Li, Lu Wang |
https://www.aclweb.org/anthology/P19-1212.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq, task-alignment |
10 |
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation |
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel |
https://www.aclweb.org/anthology/P19-1126.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-parallel, arch-lstm, arch-att, comb-ensemble, task-seqlab, task-seq2seq |
0 |
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms |
Henry Moss, Andrew Moore, David Leslie, Paul Rayson |
https://www.aclweb.org/anthology/P19-1281.pdf |
2019 |
ACL |
# reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textpair |
0 |
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks |
Chang Xu, Cecile Paris, Surya Nepal, Ross Sparks |
https://www.aclweb.org/anthology/P19-1460.pdf |
2019 |
ACL |
# arch-lstm, arch-att, arch-coverage, pre-bert, task-lm, task-seq2seq |
0 |
Unsupervised Rewriter for Multi-Sentence Compression |
Yang Zhao, Xiaoyu Shen, Wei Bi, Akiko Aizawa |
https://www.aclweb.org/anthology/P19-1216.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gnn, arch-att, arch-energy, search-beam, pre-glove, struct-crf, nondif-minrisk, task-textclass, task-seq2seq |
3 |
Joint Type Inference on Entities and Relations via Graph Convolutional Networks |
Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan |
https://www.aclweb.org/anthology/P19-1131.pdf |
2019 |
ACL |
# train-mll, arch-lstm, arch-bilstm, arch-coverage, latent-topic, task-textclass, task-lexicon |
3 |
Just “OneSeC” for Producing Multilingual Sense-Annotated Data |
Bianca Scarlini, Tommaso Pasini, Roberto Navigli |
https://www.aclweb.org/anthology/P19-1069.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, struct-crf, struct-cfg, latent-vae, task-seqlab, task-lm, task-graph |
4 |
Compound Probabilistic Context-Free Grammars for Grammar Induction |
Yoon Kim, Chris Dyer, Alexander Rush |
https://www.aclweb.org/anthology/P19-1228.pdf |
2019 |
ACL |
# init-glorot, reg-stopping, train-mtl, arch-lstm, arch-memo, search-beam, pre-glove, latent-vae, task-seqlab, task-seq2seq, task-tree |
2 |
Controllable Paraphrase Generation with a Syntactic Exemplar |
Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
https://www.aclweb.org/anthology/P19-1599.pdf |
2019 |
ACL |
# optim-adam, optim-projection, norm-layer, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-seq2seq |
9 |
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention |
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang |
https://www.aclweb.org/anthology/P19-1360.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq |
1 |
Learning to Control the Fine-grained Sentiment for Story Ending Generation |
Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun |
https://www.aclweb.org/anthology/P19-1603.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, comb-ensemble |
1 |
Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment |
Nanjiang Jiang, Marie-Catherine de Marneffe |
https://www.aclweb.org/anthology/P19-1412.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, task-tree |
1 |
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following |
David Gaddy, Dan Klein |
https://www.aclweb.org/anthology/P19-1188.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, comb-ensemble, pre-glove, task-seq2seq |
1 |
A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation |
Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin |
https://www.aclweb.org/anthology/P19-1256.pdf |
2019 |
ACL |
# arch-lstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, latent-vae |
1 |
We Need to Talk about Standard Splits |
Kyle Gorman, Steven Bedrick |
https://www.aclweb.org/anthology/P19-1267.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, adv-train, task-lm, task-seq2seq, task-relation |
0 |
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation |
Yftah Ziser, Roi Reichart |
https://www.aclweb.org/anthology/P19-1591.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, search-beam, pre-word2vec, task-lm, task-seq2seq |
0 |
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization |
Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis |
https://www.aclweb.org/anthology/P19-1501.pdf |
2019 |
ACL |
# optim-sgd, arch-lstm, arch-cnn, arch-att, search-viterbi, pre-word2vec, task-textpair, task-condlm |
2 |
Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video |
Zhenfang Chen, Lin Ma, Wenhan Luo, Kwan-Yee Kenneth Wong |
https://www.aclweb.org/anthology/P19-1183.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-copy, pre-glove, nondif-minrisk, latent-vae, task-seq2seq, task-relation |
7 |
Towards Explainable NLP: A Generative Explanation Framework for Text Classification |
Hui Liu, Qingyu Yin, William Yang Wang |
https://www.aclweb.org/anthology/P19-1560.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-topic, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree |
2 |
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding |
Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song |
https://www.aclweb.org/anthology/P19-1190.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-fasttext, pre-glove, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation, task-alignment |
1 |
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction |
Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang |
https://www.aclweb.org/anthology/P19-1344.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-seqlab |
0 |
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge |
Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng, Ying Shen |
https://www.aclweb.org/anthology/P19-1430.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-lm, task-condlm, task-seq2seq |
0 |
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports |
Baoyu Jing, Zeya Wang, Eric Xing |
https://www.aclweb.org/anthology/P19-1657.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, task-seq2seq |
2 |
Global Optimization under Length Constraint for Neural Text Summarization |
Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura |
https://www.aclweb.org/anthology/P19-1099.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-glove, pre-bert, adv-examp, adv-train, task-textpair |
17 |
Probing Neural Network Comprehension of Natural Language Arguments |
Timothy Niven, Hung-Yu Kao |
https://www.aclweb.org/anthology/P19-1459.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, pre-glove, latent-vae, loss-nce, task-seqlab |
0 |
Distant Learning for Entity Linking with Automatic Noise Detection |
Phong Le, Ivan Titov |
https://www.aclweb.org/anthology/P19-1400.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-memo, arch-transformer, pre-glove, pre-skipthought, task-textpair, task-lm, task-seq2seq |
0 |
You Only Need Attention to Traverse Trees |
Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer |
https://www.aclweb.org/anthology/P19-1030.pdf |
2019 |
ACL |
# init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, task-seq2seq, task-relation, task-graph |
2 |
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG |
Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi, Marilyn Walker |
https://www.aclweb.org/anthology/P19-1596.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree |
0 |
Reinforced Dynamic Reasoning for Conversational Question Generation |
Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun |
https://www.aclweb.org/anthology/P19-1203.pdf |
2019 |
ACL |
# train-mtl, arch-lstm, arch-att, arch-coverage, pre-glove, task-textpair, task-spanlab |
0 |
Delta Embedding Learning |
Xiao Zhang, Ji Wu, Dejing Dou |
https://www.aclweb.org/anthology/P19-1322.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm |
3 |
Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference |
Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme, Alexander Rush |
https://www.aclweb.org/anthology/P19-1084.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-relation |
2 |
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers |
Agnieszka Falenska, Jonas Kuhn |
https://www.aclweb.org/anthology/P19-1012.pdf |
2019 |
ACL |
# optim-adagrad, reg-dropout, reg-norm, norm-gradient, train-mtl, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, pre-glove, task-seq2seq, task-graph |
0 |
Tree Communication Models for Sentiment Analysis |
Yuan Zhang, Yue Zhang |
https://www.aclweb.org/anthology/P19-1342.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, adv-examp, latent-vae, task-lm, task-condlm, task-seq2seq |
0 |
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation |
Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun |
https://www.aclweb.org/anthology/P19-1197.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, pool-kmax, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-bilinear, task-seq2seq |
1 |
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization |
Kai Wang, Xiaojun Quan, Rui Wang |
https://www.aclweb.org/anthology/P19-1207.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, task-textclass |
2 |
Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates |
Shohreh Haddadan, Elena Cabrio, Serena Villata |
https://www.aclweb.org/anthology/P19-1463.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, pre-glove, task-textclass |
3 |
Deep Unknown Intent Detection with Margin Loss |
Ting-En Lin, Hua Xu |
https://www.aclweb.org/anthology/P19-1548.pdf |
2019 |
ACL |
# optim-adam, init-glorot, norm-layer, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Text Categorization by Learning Predominant Sense of Words as Auxiliary Task |
Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto |
https://www.aclweb.org/anthology/P19-1105.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, latent-topic, task-seq2seq |
3 |
Generating Summaries with Topic Templates and Structured Convolutional Decoders |
Laura Perez-Beltrachini, Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1504.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, loss-margin, task-seqlab, task-seq2seq |
15 |
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings |
Mikel Artetxe, Holger Schwenk |
https://www.aclweb.org/anthology/P19-1309.pdf |
2019 |
ACL |
# arch-lstm, arch-att, adv-examp, adv-train, task-textclass, task-textpair, task-lm |
2 |
Generating Fluent Adversarial Examples for Natural Languages |
Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li |
https://www.aclweb.org/anthology/P19-1559.pdf |
2019 |
ACL |
# optim-sgd, train-mll, arch-lstm, arch-recnn, arch-att, pre-glove, task-lm |
3 |
Modeling Semantic Compositionality with Sememe Knowledge |
Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun |
https://www.aclweb.org/anthology/P19-1571.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, task-seqlab, task-lm |
3 |
Merge and Label: A Novel Neural Network Architecture for Nested NER |
Joseph Fisher, Andreas Vlachos |
https://www.aclweb.org/anthology/P19-1585.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, task-textclass, task-extractive, task-lm, task-seq2seq |
11 |
Is Attention Interpretable? |
Sofia Serrano, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1282.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, pre-paravec, pre-bert, task-relation |
1 |
Multi-Task Learning for Coherence Modeling |
Youmna Farag, Helen Yannakoudakis |
https://www.aclweb.org/anthology/P19-1060.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm |
1 |
Variational Pretraining for Semi-supervised Text Classification |
Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1590.pdf |
2019 |
ACL |
# train-mtl, arch-lstm, arch-cnn, arch-att, task-condlm, task-seq2seq |
0 |
Learning to Relate from Captions and Bounding Boxes |
Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli |
https://www.aclweb.org/anthology/P19-1660.pdf |
2019 |
ACL |
# reg-decay, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree |
8 |
Explain Yourself! Leveraging Language Models for Commonsense Reasoning |
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher |
https://www.aclweb.org/anthology/P19-1487.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm |
0 |
Multi-task Pairwise Neural Ranking for Hashtag Segmentation |
Mounica Maddela, Wei Xu, Daniel Preoţiuc-Pietro |
https://www.aclweb.org/anthology/P19-1242.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, pre-glove, pre-skipthought, pre-elmo, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification |
Tu Vu, Mohit Iyyer |
https://www.aclweb.org/anthology/P19-1638.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-word2vec, task-seqlab, task-seq2seq |
0 |
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation |
Cao Liu, Shizhu He, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/P19-1367.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-bert, task-relation |
0 |
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures |
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou |
https://www.aclweb.org/anthology/P19-1432.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-treelstm, pre-elmo, struct-crf, latent-vae, task-lm, task-tree |
0 |
Latent Variable Sentiment Grammar |
Liwen Zhang, Kewei Tu, Yue Zhang |
https://www.aclweb.org/anthology/P19-1457.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq |
1 |
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation |
Benjamin Heinzerling, Michael Strube |
https://www.aclweb.org/anthology/P19-1027.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-coverage, task-seq2seq, task-relation, task-tree, task-graph |
0 |
SemBleu: A Robust Metric for AMR Parsing Evaluation |
Linfeng Song, Daniel Gildea |
https://www.aclweb.org/anthology/P19-1446.pdf |
2019 |
ACL |
# init-glorot, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation |
5 |
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks |
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar |
https://www.aclweb.org/anthology/P19-1320.pdf |
2019 |
ACL |
# optim-adam, norm-gradient, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, pre-word2vec, task-extractive, task-seq2seq |
0 |
This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation |
Rui Zhang, Joel Tetreault |
https://www.aclweb.org/anthology/P19-1043.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-elmo, loss-nce, task-seqlab |
0 |
Implicit Discourse Relation Identification for Open-domain Dialogues |
Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, Wen Cui, Marilyn Walker |
https://www.aclweb.org/anthology/P19-1065.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-cnn, struct-crf |
0 |
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition |
Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur, Yi Yang |
https://www.aclweb.org/anthology/P19-1587.pdf |
2019 |
ACL |
# optim-adam, norm-layer, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
A Compact and Language-Sensitive Multilingual Translation Method |
Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong |
https://www.aclweb.org/anthology/P19-1117.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, adv-examp, task-textclass, task-textpair, task-lm |
14 |
HellaSwag: Can a Machine Really Finish Your Sentence? |
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi |
https://www.aclweb.org/anthology/P19-1472.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-greedy, search-beam, pre-glove, task-condlm, task-seq2seq, task-tree |
2 |
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation |
Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko |
https://www.aclweb.org/anthology/P19-1655.pdf |
2019 |
ACL |
# train-mtl, pool-mean, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-textclass, task-textpair, task-extractive, task-seq2seq |
3 |
Searching for Effective Neural Extractive Summarization: What Works and What’s Next |
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1100.pdf |
2019 |
ACL |
# reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, task-seq2seq |
0 |
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation |
Bram Bulte, Arda Tezcan |
https://www.aclweb.org/anthology/P19-1175.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, arch-transformer, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq |
1 |
Coreference Resolution with Entity Equalization |
Ben Kantor, Amir Globerson |
https://www.aclweb.org/anthology/P19-1066.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, struct-crf, task-seq2seq, task-tree |
2 |
Robust Zero-Shot Cross-Domain Slot Filling with Example Values |
Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur |
https://www.aclweb.org/anthology/P19-1547.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, search-beam, pre-glove, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
0 |
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching |
Jihun Choi, Taeuk Kim, Sang-goo Lee |
https://www.aclweb.org/anthology/P19-1469.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree |
1 |
Improving Multi-turn Dialogue Modelling with Utterance ReWriter |
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou |
https://www.aclweb.org/anthology/P19-1003.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph |
7 |
AMR Parsing as Sequence-to-Graph Transduction |
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme |
https://www.aclweb.org/anthology/P19-1009.pdf |
2019 |
ACL |
# optim-adam, optim-projection, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-bert |
5 |
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking |
Hwaran Lee, Jinsik Lee, Tae-Yoon Kim |
https://www.aclweb.org/anthology/P19-1546.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, task-textpair, task-seq2seq, task-relation, task-tree |
0 |
An Empirical Study of Span Representations in Argumentation Structure Parsing |
Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui |
https://www.aclweb.org/anthology/P19-1464.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, adv-train, latent-vae |
1 |
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification |
Wei Jia, Dai Dai, Xinyan Xiao, Hua Wu |
https://www.aclweb.org/anthology/P19-1135.pdf |
2019 |
ACL |
# reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-bert, struct-crf, latent-topic, task-seqlab, task-relation |
2 |
Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision |
Hongliang Dai, Yangqiu Song |
https://www.aclweb.org/anthology/P19-1520.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, struct-crf, adv-train, task-seqlab, task-lm |
2 |
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling |
Nasser Zalmout, Nizar Habash |
https://www.aclweb.org/anthology/P19-1173.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, reg-stopping, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, task-lm |
13 |
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction |
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi |
https://www.aclweb.org/anthology/P19-1470.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze |
116 |
Multi-Task Deep Neural Networks for Natural Language Understanding |
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1441.pdf |
2019 |
ACL |
# optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq, task-relation |
1 |
What Kind of Language Is Hard to Language-Model? |
Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner |
https://www.aclweb.org/anthology/P19-1491.pdf |
2019 |
ACL |
# train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, latent-topic, task-lm |
2 |
Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View |
Renfen Hu, Shen Li, Shichen Liang |
https://www.aclweb.org/anthology/P19-1379.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-lm |
0 |
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text |
Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, Marius Kloft |
https://www.aclweb.org/anthology/P19-1398.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-copy, arch-coverage, task-seqlab, task-lm |
6 |
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling |
Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/P19-1598.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq |
5 |
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition |
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok |
https://www.aclweb.org/anthology/P19-1336.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-word2vec, pre-elmo, pre-bert, task-textclass |
4 |
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues |
Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/P19-1001.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze |
27 |
ERNIE: Enhanced Language Representation with Informative Entities |
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu |
https://www.aclweb.org/anthology/P19-1139.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, reg-worddropout, reg-norm, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-transformer, task-lm, task-seq2seq |
2 |
Improved Language Modeling by Decoding the Past |
Siddhartha Brahma |
https://www.aclweb.org/anthology/P19-1142.pdf |
2019 |
ACL |
# arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-fasttext, pre-bert, task-seq2seq |
2 |
Generating Diverse Translations with Sentence Codes |
Raphael Shu, Hideki Nakayama, Kyunghyun Cho |
https://www.aclweb.org/anthology/P19-1177.pdf |
2019 |
ACL |
# arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-copy, arch-bilinear, arch-coverage, search-beam, task-lm, task-condlm, task-seq2seq |
2 |
PaperRobot: Incremental Draft Generation of Scientific Ideas |
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan |
https://www.aclweb.org/anthology/P19-1191.pdf |
2019 |
ACL |
# optim-adam, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, task-textclass, task-seqlab |
1 |
Incremental Learning from Scratch for Task-Oriented Dialogue Systems |
Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li |
https://www.aclweb.org/anthology/P19-1361.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, search-viterbi, pre-elmo, task-seqlab, task-lm, task-relation, task-tree |
1 |
Semi-supervised Domain Adaptation for Dependency Parsing |
Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si |
https://www.aclweb.org/anthology/P19-1229.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, task-spanlab, task-seq2seq |
1 |
Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension |
Yimeng Zhuang, Huadong Wang |
https://www.aclweb.org/anthology/P19-1218.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, adv-examp, adv-train, task-textclass, task-seq2seq |
1 |
Effective Adversarial Regularization for Neural Machine Translation |
Motoki Sato, Jun Suzuki, Shun Kiyono |
https://www.aclweb.org/anthology/P19-1020.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-transformer, pre-elmo, pre-bert, task-textpair, task-lm, task-cloze |
37 |
BERT Rediscovers the Classical NLP Pipeline |
Ian Tenney, Dipanjan Das, Ellie Pavlick |
https://www.aclweb.org/anthology/P19-1452.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, search-beam, pre-glove, pre-elmo, task-spanlab |
2 |
Exploiting Explicit Paths for Multi-hop Reading Comprehension |
Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark |
https://www.aclweb.org/anthology/P19-1263.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, task-textclass, task-seq2seq |
0 |
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis |
Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo |
https://www.aclweb.org/anthology/P19-1053.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-copy, pre-glove, task-lm, task-seq2seq |
4 |
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing |
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/P19-1331.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-coverage, comb-ensemble, search-viterbi, pre-elmo |
5 |
Wide-Coverage Neural A* Parsing for Minimalist Grammars |
John Torr, Milos Stanojevic, Mark Steedman, Shay B. Cohen |
https://www.aclweb.org/anthology/P19-1238.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-transformer, task-lm, task-seq2seq, task-alignment, meta-arch |
1 |
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future |
Hongyin Luo, Lan Jiang, Yonatan Belinkov, James Glass |
https://www.aclweb.org/anthology/P19-1144.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze |
0 |
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings |
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti |
https://www.aclweb.org/anthology/P19-1168.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq |
2 |
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings |
Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar |
https://www.aclweb.org/anthology/P19-1568.pdf |
2019 |
ACL |
# optim-adam, reg-norm, train-mtl, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-lm |
0 |
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition |
Subhradeep Kayal, George Tsatsaronis |
https://www.aclweb.org/anthology/P19-1445.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze |
2 |
Exploring Pre-trained Language Models for Event Extraction and Generation |
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li |
https://www.aclweb.org/anthology/P19-1522.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-transformer, task-condlm, task-seq2seq |
0 |
Expressing Visual Relationships via Language |
Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1182.pdf |
2019 |
ACL |
# init-glorot, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-energy, comb-ensemble, pre-fasttext, pre-bert, struct-crf, task-relation |
0 |
An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing |
Zhisong Zhang, Xuezhe Ma, Eduard Hovy |
https://www.aclweb.org/anthology/P19-1562.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm, task-cloze |
3 |
Classification and Clustering of Arguments with Contextualized Word Embeddings |
Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1054.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-bert, struct-crf, task-spanlab, task-lm |
0 |
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis |
Junyi Du, He Jiang, Jiaming Shen, Xiang Ren |
https://www.aclweb.org/anthology/P19-1420.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-bert, struct-crf, task-seqlab, task-spanlab |
6 |
Dynamically Fused Graph Network for Multi-hop Reasoning |
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
https://www.aclweb.org/anthology/P19-1617.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq |
6 |
Attention Guided Graph Convolutional Networks for Relation Extraction |
Zhijiang Guo, Yan Zhang, Wei Lu |
https://www.aclweb.org/anthology/P19-1024.pdf |
2019 |
ACL |
# arch-lstm, arch-bilstm, arch-att, arch-selfatt, struct-crf, nondif-reinforce, task-seqlab, task-condlm |
0 |
A Prism Module for Semantic Disentanglement in Name Entity Recognition |
Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li |
https://www.aclweb.org/anthology/P19-1532.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq |
1 |
Boosting Dialog Response Generation |
Wenchao Du, Alan W Black |
https://www.aclweb.org/anthology/P19-1005.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-seqlab, task-lm, task-seq2seq, task-relation, meta-arch |
76 |
Energy and Policy Considerations for Deep Learning in NLP |
Emma Strubell, Ananya Ganesh, Andrew McCallum |
https://www.aclweb.org/anthology/P19-1355.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-glove, task-textpair |
1 |
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification |
Zhi-Xiu Ye, Zhen-Hua Ling |
https://www.aclweb.org/anthology/P19-1277.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-active, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gating, arch-subword, pre-fasttext, pre-glove, task-lm, task-seq2seq |
1 |
Low-resource Deep Entity Resolution with Transfer and Active Learning |
Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa |
https://www.aclweb.org/anthology/P19-1586.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, reg-patience, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-gating, search-viterbi, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq |
1 |
Sentiment Tagging with Partial Labels using Modular Architectures |
Xiao Zhang, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1055.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, struct-crf, task-lm, task-seq2seq |
1 |
Confusionset-guided Pointer Networks for Chinese Spelling Check |
Dingmin Wang, Yi Tay, Li Zhong |
https://www.aclweb.org/anthology/P19-1578.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, adv-train, task-spanlab, task-lm, task-seq2seq |
0 |
Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums |
Zi Chai, Xinyu Xing, Xiaojun Wan, Bo Huang |
https://www.aclweb.org/anthology/P19-1497.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-bilinear, pre-glove, pre-elmo, pre-bert, struct-crf, task-seq2seq, task-relation |
3 |
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing |
Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari |
https://www.aclweb.org/anthology/P19-1410.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, task-seq2seq, task-tree |
5 |
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing |
Ben Bogin, Jonathan Berant, Matt Gardner |
https://www.aclweb.org/anthology/P19-1448.pdf |
2019 |
ACL |
# optim-adagrad, init-glorot, norm-gradient, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textclass, task-seq2seq |
1 |
Evaluating Discourse in Structured Text Representations |
Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk |
https://www.aclweb.org/anthology/P19-1062.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-subword, pre-word2vec, pre-elmo, adv-train, loss-svd, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment |
1 |
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models |
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto |
https://www.aclweb.org/anthology/P19-1300.pdf |
2019 |
ACL |
# optim-projection, train-mll, train-transfer, train-augment, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-subword, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation |
4 |
Choosing Transfer Languages for Cross-Lingual Learning |
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig |
https://www.aclweb.org/anthology/P19-1301.pdf |
2019 |
ACL |
# optim-projection, train-mll, arch-lstm, arch-cnn, arch-coverage, arch-subword, pre-fasttext, task-seq2seq |
0 |
SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings |
Chengyu Wang, Xiaofeng He, Aoying Zhou |
https://www.aclweb.org/anthology/P19-1169.pdf |
2019 |
ACL |
# train-mll, arch-lstm, arch-att, arch-coverage, struct-crf, adv-train, task-seq2seq, task-alignment |
0 |
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text |
Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti |
https://www.aclweb.org/anthology/P19-1343.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-memo, arch-copy, pre-glove, task-relation |
4 |
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction |
Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma |
https://www.aclweb.org/anthology/P19-1136.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, task-spanlab, task-lm, task-seq2seq |
1 |
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling |
Yifan Gao, Piji Li, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/P19-1480.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, reg-patience, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-textpair, task-lm, task-seq2seq |
7 |
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study |
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio |
https://www.aclweb.org/anthology/P19-1004.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-paravec, task-seq2seq |
9 |
Hierarchical Transformers for Multi-Document Summarization |
Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1500.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, arch-lstm, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textclass, task-seq2seq |
0 |
Unraveling Antonym’s Word Vectors through a Siamese-like Network |
Mathias Etcheverry, Dina Wonsever |
https://www.aclweb.org/anthology/P19-1319.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mtl, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, struct-crf, task-seq2seq, task-relation, task-tree |
1 |
How to Best Use Syntax in Semantic Role Labelling |
Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang |
https://www.aclweb.org/anthology/P19-1529.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment |
3 |
Multi-Source Cross-Lingual Model Transfer: Learning What to Share |
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie |
https://www.aclweb.org/anthology/P19-1299.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-elmo, task-lm, task-relation |
1 |
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution |
Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan |
https://www.aclweb.org/anthology/P19-1409.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-seq2seq |
0 |
Modelling the interplay of metaphor and emotion through multitask learning |
Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova |
https://www.aclweb.org/anthology/D19-1227.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-textpair, task-condlm, task-seq2seq |
0 |
YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension |
Weiying Wang, Yongcheng Wang, Shizhe Chen, Qin Jin |
https://www.aclweb.org/anthology/D19-1517.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
ner and pos when nothing is capitalized |
Stephen Mayhew, Tatiana Tsygankova, Dan Roth |
https://www.aclweb.org/anthology/D19-1650.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, pre-glove, pre-bert, task-lm, task-seq2seq |
0 |
Robust Navigation with Language Pretraining and Stochastic Sampling |
Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi |
https://www.aclweb.org/anthology/D19-1159.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, pre-bert, adv-examp, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze |
0 |
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models |
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/D19-3002.pdf |
2019 |
EMNLP |
# init-glorot, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-seq2seq |
0 |
Parallel Iterative Edit Models for Local Sequence Transduction |
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla |
https://www.aclweb.org/anthology/D19-1435.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-elmo, task-extractive |
5 |
Neural Extractive Text Summarization with Syntactic Compression |
Jiacheng Xu, Greg Durrett |
https://www.aclweb.org/anthology/D19-1324.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, activ-relu, arch-lstm, struct-crf, latent-vae, task-seqlab |
0 |
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities |
Bailin Wang, Wei Lu |
https://www.aclweb.org/anthology/D19-1644.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Bias and Fairness in Natural Language Processing |
Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, reg-patience, arch-lstm, latent-vae, task-textpair, task-lm |
1 |
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text |
Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang |
https://www.aclweb.org/anthology/D19-1370.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce, task-textclass, task-seq2seq, task-tree |
0 |
Automatically Learning Data Augmentation Policies for Dialogue Tasks |
Tong Niu, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1132.pdf |
2019 |
EMNLP |
# train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq |
0 |
“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer |
Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran |
https://www.aclweb.org/anthology/D19-1322.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-relation, task-tree |
0 |
Syntax-aware Multilingual Semantic Role Labeling |
Shexia He, Zuchao Li, Hai Zhao |
https://www.aclweb.org/anthology/D19-1538.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, task-textclass |
0 |
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning |
Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang |
https://www.aclweb.org/anthology/D19-1019.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, arch-transformer, struct-crf, task-seqlab |
1 |
Low-Resource Name Tagging Learned with Weakly Labeled Data |
Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu, Heng Ji |
https://www.aclweb.org/anthology/D19-1025.pdf |
2019 |
EMNLP |
# reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-glove, task-textclass |
0 |
Improving Relation Extraction with Knowledge-attention |
Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li |
https://www.aclweb.org/anthology/D19-1022.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, search-beam, task-spanlab, task-lm, task-seq2seq |
0 |
Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue |
Chenguang Zhu, Michael Zeng, Xuedong Huang |
https://www.aclweb.org/anthology/D19-1123.pdf |
2019 |
EMNLP |
# activ-relu, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-relation, task-tree |
1 |
Dependency-Guided LSTM-CRF for Named Entity Recognition |
Zhanming Jie, Wei Lu |
https://www.aclweb.org/anthology/D19-1399.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab |
0 |
Answering questions by learning to rank - Learning to rank by answering questions |
George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti |
https://www.aclweb.org/anthology/D19-1256.pdf |
2019 |
EMNLP |
# optim-adam, reg-norm, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon |
0 |
Cross-Cultural Transfer Learning for Text Classification |
Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky |
https://www.aclweb.org/anthology/D19-1400.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, pre-word2vec, pre-fasttext, pre-glove, latent-topic, task-textclass, task-lm |
0 |
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention |
Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li, Xiaohao He |
https://www.aclweb.org/anthology/D19-1181.pdf |
2019 |
EMNLP |
# pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-skipthought, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze |
0 |
UER: An Open-Source Toolkit for Pre-training Models |
Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du |
https://www.aclweb.org/anthology/D19-3041.pdf |
2019 |
EMNLP |
# reg-dropout, pool-max, arch-lstm, arch-att, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq |
0 |
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching |
Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin |
https://www.aclweb.org/anthology/D19-1626.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, task-condlm |
5 |
Dual Attention Networks for Visual Reference Resolution in Visual Dialog |
Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang |
https://www.aclweb.org/anthology/D19-1209.pdf |
2019 |
EMNLP |
# train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-subword, task-lm, task-seq2seq |
0 |
Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja |
Kang Min Yoo, Taeuk Kim, Sang-goo Lee |
https://www.aclweb.org/anthology/D19-1358.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, task-seq2seq |
0 |
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training |
Alham Fikri Aji, Kenneth Heafield, Nikolay Bogoychev |
https://www.aclweb.org/anthology/D19-1373.pdf |
2019 |
EMNLP |
# optim-sgd, reg-decay, train-transfer, arch-lstm, arch-subword, search-beam, task-seq2seq, task-alignment |
0 |
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation |
Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn |
https://www.aclweb.org/anthology/D19-1142.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, search-beam, pre-bert, task-spanlab, task-lm, task-seq2seq |
0 |
Restoring ancient text using deep learning: a case study on Greek epigraphy |
Yannis Assael, Thea Sommerschield, Jonathan Prag |
https://www.aclweb.org/anthology/D19-1668.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, struct-crf, task-lm, task-seq2seq |
0 |
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis |
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou |
https://www.aclweb.org/anthology/D19-1559.pdf |
2019 |
EMNLP |
# arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Weakly Supervised Attention Networks for Entity Recognition |
Barun Patra, Joel Ruben Antony Moniz |
https://www.aclweb.org/anthology/D19-1652.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-elmo, pre-bert, loss-svd, task-lm |
0 |
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation |
Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu |
https://www.aclweb.org/anthology/D19-1640.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-coverage, pre-word2vec, struct-crf, task-seq2seq |
0 |
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis |
Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao |
https://www.aclweb.org/anthology/D19-1563.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-lstm, arch-att, adv-train, task-lm |
0 |
Pun-GAN: Generative Adversarial Network for Pun Generation |
Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun |
https://www.aclweb.org/anthology/D19-1336.pdf |
2019 |
EMNLP |
# optim-adam, reg-norm, pool-max, pool-mean, arch-lstm, task-textclass |
0 |
Out-of-Domain Detection for Low-Resource Text Classification Tasks |
Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu |
https://www.aclweb.org/anthology/D19-1364.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, search-greedy, search-beam, pre-word2vec, pre-glove, loss-svd, task-seq2seq |
0 |
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning |
Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang |
https://www.aclweb.org/anthology/D19-1207.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-gating, arch-coverage, pre-fasttext, pre-bert, task-spanlab, task-lm |
1 |
Interactive Language Learning by Question Answering |
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler |
https://www.aclweb.org/anthology/D19-1280.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-bilinear, pre-word2vec, pre-elmo, task-seq2seq, task-relation |
0 |
Hierarchical Pointer Net Parsing |
Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing |
https://www.aclweb.org/anthology/D19-1093.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, reg-norm, reg-decay, arch-lstm, arch-bilstm, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation |
1 |
Designing and Interpreting Probes with Control Tasks |
John Hewitt, Percy Liang |
https://www.aclweb.org/anthology/D19-1275.pdf |
2019 |
EMNLP |
# optim-projection, train-transfer, arch-rnn, arch-lstm, pre-elmo, pre-bert, adv-train, task-textclass, task-seqlab, task-lm, task-cloze |
4 |
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling |
Xiaochuang Han, Jacob Eisenstein |
https://www.aclweb.org/anthology/D19-1433.pdf |
2019 |
EMNLP |
# reg-dropout, train-active, arch-lstm, arch-cnn, comb-ensemble, search-viterbi, struct-crf, latent-vae, task-seqlab |
1 |
A Bayesian Approach for Sequence Tagging with Crowds |
Edwin D. Simpson, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1101.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, struct-crf, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
0 |
Entity Projection via Machine Translation for Cross-Lingual NER |
Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton |
https://www.aclweb.org/anthology/D19-1100.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-gating, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation |
Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei |
https://www.aclweb.org/anthology/D19-1409.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-lstm, arch-att, arch-selfatt, pre-glove, task-spanlab |
0 |
Ranking and Sampling in Open-Domain Question Answering |
Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang, Dan Meng |
https://www.aclweb.org/anthology/D19-1245.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, task-lm, task-tree |
0 |
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog |
Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1163.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, pre-fasttext, task-textclass |
0 |
PRADO: Projection Attention Networks for Document Classification On-Device |
Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva |
https://www.aclweb.org/anthology/D19-1506.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-lstm, arch-subword, loss-nce, task-lm, task-seq2seq |
0 |
Experimenting with Power Divergences for Language Modeling |
Matthieu Labeau, Shay B. Cohen |
https://www.aclweb.org/anthology/D19-1421.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-att, task-textpair, task-tree |
1 |
Posing Fair Generalization Tasks for Natural Language Inference |
Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts |
https://www.aclweb.org/anthology/D19-1456.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-copy, arch-coverage, pre-word2vec, latent-vae, task-lm, task-seq2seq |
0 |
Unsupervised Context Rewriting for Open Domain Conversation |
Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, Jingsong Yu |
https://www.aclweb.org/anthology/D19-1192.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-recnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq |
2 |
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons |
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu |
https://www.aclweb.org/anthology/D19-1135.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo |
0 |
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree |
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu |
https://www.aclweb.org/anthology/D19-1569.pdf |
2019 |
EMNLP |
# optim-adagrad, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-bilinear, pre-glove, task-textclass, task-relation, task-tree |
0 |
Event Representation Learning Enhanced with External Commonsense Knowledge |
Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan |
https://www.aclweb.org/anthology/D19-1495.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-lstm, arch-cnn, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert |
0 |
An Improved Neural Baseline for Temporal Relation Extraction |
Qiang Ning, Sanjay Subramanian, Dan Roth |
https://www.aclweb.org/anthology/D19-1642.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, pre-bert, adv-train, latent-topic, task-lexicon |
1 |
Contrastive Language Adaptation for Cross-Lingual Stance Detection |
Mitra Mohtarami, James Glass, Preslav Nakov |
https://www.aclweb.org/anthology/D19-1452.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-rnn, arch-lstm, arch-att, pre-fasttext, pre-bert, loss-margin, loss-triplet, task-lm, task-condlm, task-seq2seq |
0 |
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations |
Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann |
https://www.aclweb.org/anthology/D19-1154.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, norm-layer, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, search-beam, struct-crf, task-lm, task-seq2seq |
0 |
Efficient Convolutional Neural Networks for Diacritic Restoration |
Sawsan Alqahtani, Ajay Mishra, Mona Diab |
https://www.aclweb.org/anthology/D19-1151.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-augment, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree |
0 |
Do NLP Models Know Numbers? Probing Numeracy in Embeddings |
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner |
https://www.aclweb.org/anthology/D19-1534.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-lm |
1 |
Quantity doesn’t buy quality syntax with neural language models |
Marten van Schijndel, Aaron Mueller, Tal Linzen |
https://www.aclweb.org/anthology/D19-1592.pdf |
2019 |
EMNLP |
# reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-coverage, pre-word2vec, struct-crf, task-textclass, task-lm, task-seq2seq |
0 |
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content |
Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben |
https://www.aclweb.org/anthology/D19-1239.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
74 |
Semantic Specialization of Distributional Word Vectors |
Goran Glavaś, Edoardo Maria Ponti, Ivan Vulić |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, comb-ensemble, pre-word2vec, task-seq2seq |
0 |
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis |
Twin Karmakharm, Nikolaos Aletras, Kalina Bontcheva |
https://www.aclweb.org/anthology/D19-3020.pdf |
2019 |
EMNLP |
# optim-sgd, optim-projection, reg-dropout, norm-layer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, adv-train, latent-vae, task-condlm, task-seq2seq |
0 |
Semi-supervised Text Style Transfer: Cross Projection in Latent Space |
Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan |
https://www.aclweb.org/anthology/D19-1499.pdf |
2019 |
EMNLP |
# train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, struct-crf, adv-train, latent-vae, task-seqlab, task-seq2seq, task-lexicon |
1 |
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables |
Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung |
https://www.aclweb.org/anthology/D19-1129.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-viterbi, pre-glove, pre-elmo, struct-crf, task-seqlab, task-condlm |
0 |
Phrase Grounding by Soft-Label Chain Conditional Random Field |
Jiacheng Liu, Julia Hockenmaier |
https://www.aclweb.org/anthology/D19-1515.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation |
0 |
Hierarchically-Refined Label Attention Network for Sequence Labeling |
Leyang Cui, Yue Zhang |
https://www.aclweb.org/anthology/D19-1422.pdf |
2019 |
EMNLP |
# reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, meta-arch |
1 |
Show Your Work: Improved Reporting of Experimental Results |
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1224.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-word2vec, pre-bert, task-seqlab, task-seq2seq, task-relation, task-tree |
0 |
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling |
Qingrong Xia, Zhenghua Li, Min Zhang |
https://www.aclweb.org/anthology/D19-1541.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-copy, task-seq2seq |
0 |
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever |
Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu |
https://www.aclweb.org/anthology/D19-1013.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, pre-elmo, pre-bert, task-textpair, task-lm, task-seq2seq, task-cloze, task-alignment |
4 |
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks |
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou |
https://www.aclweb.org/anthology/D19-1252.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Context-Aware Conversation Thread Detection in Multi-Party Chat |
Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, pre-word2vec, task-seqlab, task-lm, task-relation, task-graph |
0 |
Supervising Unsupervised Open Information Extraction Models |
Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan |
https://www.aclweb.org/anthology/D19-1067.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
Subword Language Model for Query Auto-Completion |
Gyuwan Kim |
https://www.aclweb.org/anthology/D19-1507.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, train-mtl, train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-memo, arch-coverage, arch-transformer, pre-bert |
1 |
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection |
Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun |
https://www.aclweb.org/anthology/D19-1471.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, task-textclass, task-seq2seq |
0 |
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification |
Jiawei Wu, Wenhan Xiong, William Yang Wang |
https://www.aclweb.org/anthology/D19-1444.pdf |
2019 |
EMNLP |
# train-mtl, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing |
Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura |
https://www.aclweb.org/anthology/D19-1648.pdf |
2019 |
EMNLP |
# reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features |
Hongyin Tang, Miao Li, Beihong Jin |
https://www.aclweb.org/anthology/D19-1513.pdf |
2019 |
EMNLP |
# arch-lstm, arch-gru, arch-transformer, task-seqlab, task-condlm, task-seq2seq |
2 |
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures |
Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer |
https://www.aclweb.org/anthology/D19-1052.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove |
0 |
Improving Fine-grained Entity Typing with Entity Linking |
Hongliang Dai, Donghong Du, Xin Li, Yangqiu Song |
https://www.aclweb.org/anthology/D19-1643.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, arch-transformer, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab, task-lm, task-relation |
1 |
A Lexicon-Based Graph Neural Network for Chinese NER |
Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang |
https://www.aclweb.org/anthology/D19-1096.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-subword, struct-crf, task-seq2seq |
0 |
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity |
Penghui Wei, Nan Xu, Wenji Mao |
https://www.aclweb.org/anthology/D19-1485.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze, task-relation |
22 |
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT |
Shijie Wu, Mark Dredze |
https://www.aclweb.org/anthology/D19-1077.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, pre-elmo, pre-bert, task-textpair, task-seqlab, task-lm |
0 |
Entity, Relation, and Event Extraction with Contextualized Span Representations |
David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/D19-1585.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, latent-vae, task-seq2seq, task-tree |
0 |
Data-Anonymous Encoding for Text-to-SQL Generation |
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang |
https://www.aclweb.org/anthology/D19-1543.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm |
0 |
DENS: A Dataset for Multi-class Emotion Analysis |
Chen Liu, Muhammad Osama, Anderson De Andrade |
https://www.aclweb.org/anthology/D19-1656.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, search-viterbi, pre-word2vec, pre-glove, pre-elmo, struct-crf, latent-vae, task-textpair, task-lm, task-seq2seq |
0 |
A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing |
Zeyu Dai, Ruihong Huang |
https://www.aclweb.org/anthology/D19-1295.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-elmo, struct-crf, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Semi-Supervised Semantic Role Labeling with Cross-View Training |
Rui Cai, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1094.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-seq2seq |
0 |
Referring Expression Generation Using Entity Profiles |
Meng Cao, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/D19-1312.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-seq2seq |
0 |
MoEL: Mixture of Empathetic Listeners |
Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung |
https://www.aclweb.org/anthology/D19-1012.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, adv-train, loss-triplet, task-condlm, task-seq2seq |
0 |
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach |
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon |
https://www.aclweb.org/anthology/D19-1208.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textpair, task-spanlab, task-seq2seq, task-tree, task-graph |
0 |
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing |
Jonathan Herzig, Jonathan Berant |
https://www.aclweb.org/anthology/D19-1394.pdf |
2019 |
EMNLP |
# reg-dropout, reg-labelsmooth, train-mtl, train-mll, train-augment, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, search-greedy, search-beam, pre-glove, pre-bert, task-seq2seq, task-relation, task-tree, task-graph |
2 |
Broad-Coverage Semantic Parsing as Transduction |
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme |
https://www.aclweb.org/anthology/D19-1392.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-seq2seq |
1 |
Incorporating External Knowledge into Machine Reading for Generative Question Answering |
Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
https://www.aclweb.org/anthology/D19-1255.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations |
Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan |
https://www.aclweb.org/anthology/D19-1533.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree |
1 |
“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding |
Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth |
https://www.aclweb.org/anthology/D19-1332.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, latent-vae, task-seq2seq, task-tree, task-graph |
0 |
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs |
Bailin Wang, Ivan Titov, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1391.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq, task-cloze |
1 |
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects |
Jianmo Ni, Jiacheng Li, Julian McAuley |
https://www.aclweb.org/anthology/D19-1018.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, pre-word2vec, pre-glove, task-textpair, task-seq2seq, task-relation |
0 |
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling |
Koki Washio, Satoshi Sekine, Tsuneaki Kato |
https://www.aclweb.org/anthology/D19-1357.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-seq2seq, task-tree |
0 |
Data Augmentation with Atomic Templates for Spoken Language Understanding |
Zijian Zhao, Su Zhu, Kai Yu |
https://www.aclweb.org/anthology/D19-1375.pdf |
2019 |
EMNLP |
# optim-sgd, arch-lstm, arch-att, arch-selfatt, pre-word2vec, pre-bert, task-textclass, task-textpair, task-lm, task-cloze |
0 |
News2vec: News Network Embedding with Subnode Information |
Ye Ma, Lu Zong, Yikang Yang, Jionglong Su |
https://www.aclweb.org/anthology/D19-1490.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-cnn, struct-crf, task-seqlab |
0 |
Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines |
Mahmoud Azab, Stephane Dadian, Vivi Nastase, Larry An, Rada Mihalcea |
https://www.aclweb.org/anthology/D19-1122.pdf |
2019 |
EMNLP |
# norm-batch, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-fasttext, pre-elmo, pre-bert, nondif-gumbelsoftmax, task-textclass, task-seq2seq, task-relation, task-lexicon |
0 |
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition |
Ting-Yun Chang, Yun-Nung Chen |
https://www.aclweb.org/anthology/D19-1627.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation |
0 |
Partners in Crime: Multi-view Sequential Inference for Movie Understanding |
Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen |
https://www.aclweb.org/anthology/D19-1212.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-fasttext, pre-elmo, latent-vae, task-textclass, task-seq2seq, task-tree |
1 |
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks |
Xinchi Chen, Chunchuan Lyu, Ivan Titov |
https://www.aclweb.org/anthology/D19-1544.pdf |
2019 |
EMNLP |
# train-augment, arch-lstm, arch-att, task-lm, task-condlm |
0 |
Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation |
Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas |
https://www.aclweb.org/anthology/D19-1596.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Dive into Deep Learning for Natural Language Processing |
Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander Smola |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree |
6 |
An End-to-End Generative Architecture for Paraphrase Generation |
Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin |
https://www.aclweb.org/anthology/D19-1309.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-beam, pre-glove, task-spanlab, task-lm |
0 |
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text |
Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark |
https://www.aclweb.org/anthology/D19-1457.pdf |
2019 |
EMNLP |
# optim-adagrad, optim-projection, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq |
4 |
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis |
Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen |
https://www.aclweb.org/anthology/D19-1467.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, task-lm, task-relation |
0 |
Towards Zero-shot Language Modeling |
Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen |
https://www.aclweb.org/anthology/D19-1288.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, arch-lstm, arch-bilstm, pre-fasttext, task-seqlab, task-seq2seq |
1 |
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels |
Lukas Lange, Michael A. Hedderich, Dietrich Klakow |
https://www.aclweb.org/anthology/D19-1362.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm |
1 |
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs |
Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly, Pawan Goyal |
https://www.aclweb.org/anthology/D19-1631.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-seq2seq, task-tree |
0 |
Asking Clarification Questions in Knowledge-Based Question Answering |
Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun |
https://www.aclweb.org/anthology/D19-1172.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding |
Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu |
https://www.aclweb.org/anthology/D19-1097.pdf |
2019 |
EMNLP |
# pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-bert, loss-triplet |
0 |
Improving Answer Selection and Answer Triggering using Hard Negatives |
Sawan Kumar, Shweta Garg, Kartik Mehta, Nikhil Rasiwasia |
https://www.aclweb.org/anthology/D19-1604.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-transformer, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm |
0 |
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings |
Kawin Ethayarajh |
https://www.aclweb.org/anthology/D19-1006.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-coverage, pre-glove, pre-bert, struct-crf, task-textclass |
0 |
Detecting Causal Language Use in Science Findings |
Bei Yu, Yingya Li, Jun Wang |
https://www.aclweb.org/anthology/D19-1473.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, pre-glove, pre-bert, task-textpair, task-spanlab, task-seq2seq |
1 |
Better Rewards Yield Better Summaries: Learning to Summarise Without References |
Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1307.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-condlm, task-seq2seq |
0 |
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues |
Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang |
https://www.aclweb.org/anthology/D19-1516.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, nondif-reinforce, task-seq2seq, meta-init |
0 |
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations |
Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu |
https://www.aclweb.org/anthology/D19-1334.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, pre-glove, task-relation |
0 |
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System |
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan |
https://www.aclweb.org/anthology/D19-3001.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-gru, arch-cnn, pre-word2vec, pre-skipthought, task-textpair, task-lm, task-seq2seq, task-lexicon |
0 |
Incorporating Visual Semantics into Sentence Representations within a Grounded Space |
Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari |
https://www.aclweb.org/anthology/D19-1064.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Data Collection and End-to-End Learning for Conversational AI |
Tsung-Hsien Wen, Pei-Hao Su, Paweł Budzianowski, Iñigo Casanueva, Ivan Vulić |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, task-spanlab, task-lm, task-seq2seq |
0 |
Multi-Task Learning with Language Modeling for Question Generation |
Wenjie Zhou, Minghua Zhang, Yunfang Wu |
https://www.aclweb.org/anthology/D19-1337.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-textpair, task-lm |
0 |
Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching |
Mingtong Liu, Yujie Zhang, Jinan Xu, Yufeng Chen |
https://www.aclweb.org/anthology/D19-1267.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, pre-bert, struct-crf, task-seqlab, task-seq2seq |
0 |
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition |
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Bin Dong, Shanshan Jiang |
https://www.aclweb.org/anthology/D19-1646.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-copy, comb-ensemble, pre-glove, latent-vae, task-relation, task-tree, task-graph, task-lexicon |
0 |
Semantic graph parsing with recurrent neural network DAG grammars |
Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1278.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-bilinear, arch-coverage, search-beam, task-extractive, task-seq2seq |
0 |
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing |
Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1388.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-bert, task-textpair, task-seqlab, task-lm |
0 |
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis |
Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu |
https://www.aclweb.org/anthology/D19-3017.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, struct-crf, task-textclass, task-extractive, task-lm, task-seq2seq |
0 |
Pretrained Language Models for Sequential Sentence Classification |
Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld |
https://www.aclweb.org/anthology/D19-1383.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-active, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq |
19 |
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks |
Jason Wei, Kai Zou |
https://www.aclweb.org/anthology/D19-1670.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq |
0 |
Adaptive Parameterization for Neural Dialogue Generation |
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin |
https://www.aclweb.org/anthology/D19-1188.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-seq2seq, task-tree, task-graph |
0 |
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation |
Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou |
https://www.aclweb.org/anthology/D19-1548.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, adv-train |
0 |
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network |
Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen |
https://www.aclweb.org/anthology/D19-1487.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, train-mll, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, adv-train, task-spanlab, task-lm, task-seq2seq |
2 |
Adversarial Domain Adaptation for Machine Reading Comprehension |
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang |
https://www.aclweb.org/anthology/D19-1254.pdf |
2019 |
EMNLP |
# reg-dropout, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, task-relation |
0 |
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction |
Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren |
https://www.aclweb.org/anthology/D19-1397.pdf |
2019 |
EMNLP |
# reg-stopping, train-mtl, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-hmm, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Similarity Based Auxiliary Classifier for Named Entity Recognition |
Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong |
https://www.aclweb.org/anthology/D19-1105.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-lstm, arch-bilstm, arch-att, arch-coverage, task-extractive, task-condlm, task-seq2seq |
0 |
Attention Optimization for Abstractive Document Summarization |
Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang |
https://www.aclweb.org/anthology/D19-1117.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, arch-coverage, latent-topic |
0 |
Modeling Frames in Argumentation |
Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, Benno Stein |
https://www.aclweb.org/anthology/D19-1290.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-glove, task-textclass, task-seq2seq |
0 |
Robust Text Classifier on Test-Time Budgets |
Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama |
https://www.aclweb.org/anthology/D19-1108.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-lm |
1 |
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge |
Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/D19-1355.pdf |
2019 |
EMNLP |
# arch-lstm, pre-word2vec |
0 |
Visualizing Trends of Key Roles in News Articles |
Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang |
https://www.aclweb.org/anthology/D19-3042.pdf |
2019 |
EMNLP |
# optim-sgd, init-glorot, train-mll, train-augment, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-relation |
0 |
Surface Realisation Using Full Delexicalisation |
Anastasia Shimorina, Claire Gardent |
https://www.aclweb.org/anthology/D19-1305.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-bert, loss-cca, task-seq2seq |
0 |
Dialog Intent Induction with Deep Multi-View Clustering |
Hugh Perkins, Yi Yang |
https://www.aclweb.org/anthology/D19-1413.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, task-textclass, task-lm |
0 |
Label-Specific Document Representation for Multi-Label Text Classification |
Lin Xiao, Xin Huang, Boli Chen, Liping Jing |
https://www.aclweb.org/anthology/D19-1044.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-glove, task-textclass, task-seq2seq |
0 |
Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis |
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang |
https://www.aclweb.org/anthology/D19-1343.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, arch-lstm, arch-att, task-condlm, task-seq2seq, task-tree |
0 |
RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation |
Tzuf Paz-Argaman, Reut Tsarfaty |
https://www.aclweb.org/anthology/D19-1681.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, search-viterbi, pre-word2vec, pre-skipthought, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation |
0 |
Learning to Infer Entities, Properties and their Relations from Clinical Conversations |
Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran |
https://www.aclweb.org/anthology/D19-1503.pdf |
2019 |
EMNLP |
# train-mll, arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-bert, latent-topic, task-textclass, task-textpair |
0 |
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach |
Wenpeng Yin, Jamaal Hay, Dan Roth |
https://www.aclweb.org/anthology/D19-1404.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information |
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee |
https://www.aclweb.org/anthology/D19-1232.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-elmo |
0 |
Rewarding Coreference Resolvers for Being Consistent with World Knowledge |
Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Herschcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard |
https://www.aclweb.org/anthology/D19-1118.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree |
0 |
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks |
Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon |
https://www.aclweb.org/anthology/D19-1183.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-decay, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, pre-fasttext, pre-glove, task-textclass |
0 |
Text Level Graph Neural Network for Text Classification |
Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang |
https://www.aclweb.org/anthology/D19-1345.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-condlm, task-seq2seq |
0 |
Compositional Generalization for Primitive Substitutions |
Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness |
https://www.aclweb.org/anthology/D19-1438.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, pre-elmo, pre-use, task-textclass, task-textpair, task-seq2seq |
0 |
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization |
Simeng Sun, Ani Nenkova |
https://www.aclweb.org/anthology/D19-1116.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, search-greedy, task-extractive, task-condlm, task-seq2seq |
1 |
An Entity-Driven Framework for Abstractive Summarization |
Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang |
https://www.aclweb.org/anthology/D19-1323.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping |
Jian Ni, Radu Florian |
https://www.aclweb.org/anthology/D19-1038.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-cca, task-lm, task-seq2seq, task-cloze |
1 |
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives |
Elena Voita, Rico Sennrich, Ivan Titov |
https://www.aclweb.org/anthology/D19-1448.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-spanlab, task-lm, task-seq2seq, task-cloze |
0 |
Learning with Limited Data for Multilingual Reading Comprehension |
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee |
https://www.aclweb.org/anthology/D19-1283.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq |
0 |
Select and Attend: Towards Controllable Content Selection in Text Generation |
Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine |
https://www.aclweb.org/anthology/D19-1054.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, comb-ensemble, struct-crf, task-textclass, task-seqlab, task-seq2seq |
0 |
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation |
Huiyun Yang, Shujian Huang, Xin-Yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/D19-1429.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-coverage |
2 |
SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations |
Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli |
https://www.aclweb.org/anthology/D19-1359.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq |
0 |
Generating Classical Chinese Poems from Vernacular Chinese |
Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu |
https://www.aclweb.org/anthology/D19-1637.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-coverage, pre-elmo, pre-bert, task-relation |
0 |
MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering |
Hojae Han, Seungtaek Choi, Haeju Park, Seung-won Hwang |
https://www.aclweb.org/anthology/D19-1601.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation |
Rocco Tripodi, Roberto Navigli |
https://www.aclweb.org/anthology/D19-1009.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Discreteness in Neural Natural Language Processing |
Lili Mou, Hao Zhou, Lei Li |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, struct-crf, loss-triplet, task-seqlab, task-lm, task-seq2seq, task-context |
14 |
Cloze-driven Pretraining of Self-attention Networks |
Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli |
https://www.aclweb.org/anthology/D19-1539.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, latent-vae, task-seqlab, task-lm, task-seq2seq, task-tree |
0 |
Latent Part-of-Speech Sequences for Neural Machine Translation |
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian |
https://www.aclweb.org/anthology/D19-1072.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
49 |
bib (full) |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, search-beam, adv-train, task-lm, task-condlm, task-seq2seq, task-relation |
0 |
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation |
Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1501.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, arch-memo, task-textpair, task-spanlab, task-lm |
0 |
Memory Grounded Conversational Reasoning |
Seungwhan Moon, Pararth Shah, Rajen Subba, Anuj Kumar |
https://www.aclweb.org/anthology/D19-3025.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq |
2 |
Knowledge Enhanced Contextual Word Representations |
Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1005.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, task-lm, task-seq2seq |
0 |
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling |
Bo-Hsiang Tseng, Marek Rei, Paweł Budzianowski, Richard Turner, Bill Byrne, Anna Korhonen |
https://www.aclweb.org/anthology/D19-1125.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Processing and Understanding Mixed Language Data |
Monojit Choudhury, Anirudh Srinivasan, Sandipan Dandapat |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer |
1 |
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor |
Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency, Mohammed (Ehsan) Hoque |
https://www.aclweb.org/anthology/D19-1211.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, adv-examp, adv-train, task-condlm, task-seq2seq |
8 |
Attention is not not Explanation |
Sarah Wiegreffe, Yuval Pinter |
https://www.aclweb.org/anthology/D19-1002.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, task-seq2seq |
1 |
Controlling Text Complexity in Neural Machine Translation |
Sweta Agrawal, Marine Carpuat |
https://www.aclweb.org/anthology/D19-1166.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, nondif-gumbelsoftmax, loss-svd, task-lm, task-seq2seq |
0 |
MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model |
Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh |
https://www.aclweb.org/anthology/D19-1529.pdf |
2019 |
EMNLP |
# optim-amsgrad, reg-dropout, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, comb-ensemble, search-beam, task-relation |
0 |
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection |
Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/D19-1381.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, arch-bilinear, pre-fasttext, loss-nce, task-textclass, task-lexicon, task-alignment |
0 |
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation |
Yogarshi Vyas, Marine Carpuat |
https://www.aclweb.org/anthology/D19-1532.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, search-beam, adv-train, task-seq2seq |
0 |
Towards Controllable and Personalized Review Generation |
Pan Li, Alexander Tuzhilin |
https://www.aclweb.org/anthology/D19-1319.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, train-mll, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English |
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc’Aurelio Ranzato |
https://www.aclweb.org/anthology/D19-1632.pdf |
2019 |
EMNLP |
# reg-stopping, reg-patience, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, pre-word2vec, task-textclass, task-seq2seq, task-tree |
0 |
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases |
Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev |
https://www.aclweb.org/anthology/D19-1204.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-seqlab, task-lm, task-seq2seq, task-tree, task-alignment |
0 |
Handling Syntactic Divergence in Low-resource Machine Translation |
Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig |
https://www.aclweb.org/anthology/D19-1143.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, optim-projection, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, search-greedy, search-beam, pre-elmo, pre-bert, nondif-reinforce, task-textpair, task-seqlab, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering |
Shiyue Zhang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1253.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, task-tree |
1 |
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text |
Haitian Sun, Tania Bedrax-Weiss, William Cohen |
https://www.aclweb.org/anthology/D19-1242.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, loss-nce, task-textclass, task-lm, task-cloze |
0 |
Multi-Granularity Representations of Dialog |
Shikib Mehri, Maxine Eskenazi |
https://www.aclweb.org/anthology/D19-1184.pdf |
2019 |
EMNLP |
# reg-dropout, train-active, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, task-textclass |
1 |
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes |
Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani |
https://www.aclweb.org/anthology/D19-1580.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, pre-glove, pre-bert, nondif-reinforce, task-textclass, task-seq2seq, task-relation, task-tree |
0 |
A Split-and-Recombine Approach for Follow-up Query Analysis |
Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang |
https://www.aclweb.org/anthology/D19-1535.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, struct-crf, task-lm, task-seq2seq |
0 |
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots |
Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab |
https://www.aclweb.org/anthology/D19-1127.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-lstm, arch-bilstm, pre-glove, struct-crf |
0 |
Neural Conversation Recommendation with Online Interaction Modeling |
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
https://www.aclweb.org/anthology/D19-1470.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-lstm, task-textclass |
1 |
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control |
Mo Yu, Shiyu Chang, Yang Zhang, Tommi Jaakkola |
https://www.aclweb.org/anthology/D19-1420.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-word2vec, task-alignment |
0 |
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots |
Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu |
https://www.aclweb.org/anthology/D19-1011.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-layer, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textpair, task-condlm |
0 |
Asynchronous Deep Interaction Network for Natural Language Inference |
Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang |
https://www.aclweb.org/anthology/D19-1271.pdf |
2019 |
EMNLP |
# train-mll, arch-lstm, arch-cnn, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
1 |
EntEval: A Holistic Evaluation Benchmark for Entity Representations |
Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1040.pdf |
2019 |
EMNLP |
# init-glorot, arch-lstm, arch-gru, search-sampling, pre-fasttext, latent-vae, task-textclass, task-lm, task-seq2seq |
1 |
Implicit Deep Latent Variable Models for Text Generation |
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen |
https://www.aclweb.org/anthology/D19-1407.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-copy, task-seq2seq |
0 |
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks |
Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang |
https://www.aclweb.org/anthology/D19-1463.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-bert, latent-vae |
0 |
Transfer Learning Between Related Tasks Using Expected Label Proportions |
Matan Ben Noach, Yoav Goldberg |
https://www.aclweb.org/anthology/D19-1004.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, task-textpair |
2 |
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling |
Jinfeng Rao, Linqing Liu, Yi Tay, Wei Yang, Peng Shi, Jimmy Lin |
https://www.aclweb.org/anthology/D19-1540.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-seq2seq |
0 |
Sequential Learning of Convolutional Features for Effective Text Classification |
Avinash Madasu, Vijjini Anvesh Rao |
https://www.aclweb.org/anthology/D19-1567.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
The Role of Pragmatic and Discourse Context in Determining Argument Impact |
Esin Durmus, Faisal Ladhak, Claire Cardie |
https://www.aclweb.org/anthology/D19-1568.pdf |
2019 |
EMNLP |
# optim-adadelta, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, task-relation |
0 |
Event Detection with Multi-Order Graph Convolution and Aggregated Attention |
Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng |
https://www.aclweb.org/anthology/D19-1582.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, arch-att, pre-glove, struct-crf, loss-nce, task-lm, task-seq2seq |
0 |
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs |
Dongyeop Kang, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1589.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-bert, loss-nce, task-seqlab, task-relation |
0 |
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population |
Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza, Denilson Barbosa |
https://www.aclweb.org/anthology/D19-1069.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq |
1 |
On NMT Search Errors and Model Errors: Cat Got Your Tongue? |
Felix Stahlberg, Bill Byrne |
https://www.aclweb.org/anthology/D19-1331.pdf |
2019 |
EMNLP |
# train-mll, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-elmo, pre-bert, task-seq2seq |
2 |
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite |
Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova, Preslav Nakov |
https://www.aclweb.org/anthology/D19-1294.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-viterbi, pre-elmo, pre-bert, struct-crf, loss-nce, task-seqlab, task-lm |
0 |
Effective Use of Transformer Networks for Entity Tracking |
Aditya Gupta, Greg Durrett |
https://www.aclweb.org/anthology/D19-1070.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage |
0 |
Charge-Based Prison Term Prediction with Deep Gating Network |
Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding |
https://www.aclweb.org/anthology/D19-1667.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-bert, adv-examp, latent-vae, task-textclass, task-lm, task-seq2seq, task-relation |
0 |
Latent-Variable Generative Models for Data-Efficient Text Classification |
Xiaoan Ding, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1048.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-bert, task-lm |
1 |
Attending to Future Tokens for Bidirectional Sequence Generation |
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert |
https://www.aclweb.org/anthology/D19-1001.pdf |
2019 |
EMNLP |
# arch-lstm, comb-ensemble, task-lm |
0 |
Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition |
Zhenjie Zhao, Andrew Cattle, Evangelos Papalexakis, Xiaojuan Ma |
https://www.aclweb.org/anthology/D19-1669.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq |
0 |
Improving Question Generation With to the Point Context |
Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/D19-1317.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm |
0 |
PubMedQA: A Dataset for Biomedical Research Question Answering |
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, Xinghua Lu |
https://www.aclweb.org/anthology/D19-1259.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, search-beam, task-lm |
0 |
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study |
Aixiu An, Peng Qian, Ethan Wilcox, Roger Levy |
https://www.aclweb.org/anthology/D19-1287.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-lstm, latent-vae, task-lm |
0 |
Neural Gaussian Copula for Variational Autoencoder |
Prince Zizhuang Wang, William Yang Wang |
https://www.aclweb.org/anthology/D19-1442.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment |
0 |
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling |
Angel Daza, Anette Frank |
https://www.aclweb.org/anthology/D19-1056.pdf |
2019 |
EMNLP |
# optim-adadelta, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-subword, pre-glove, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Rethinking Attribute Representation and Injection for Sentiment Classification |
Reinald Kim Amplayo |
https://www.aclweb.org/anthology/D19-1562.pdf |
2019 |
EMNLP |
# optim-adadelta, reg-stopping, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-bert, task-textclass, task-seq2seq |
0 |
Enhancing Local Feature Extraction with Global Representation for Neural Text Classification |
Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao |
https://www.aclweb.org/anthology/D19-1047.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-lm, task-seq2seq |
0 |
uniblock: Scoring and Filtering Corpus with Unicode Block Information |
Yingbo Gao, Weiyue Wang, Hermann Ney |
https://www.aclweb.org/anthology/D19-1133.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq |
0 |
Attribute-aware Sequence Network for Review Summarization |
Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong |
https://www.aclweb.org/anthology/D19-1297.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
ARAML: A Stable Adversarial Training Framework for Text Generation |
Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu |
https://www.aclweb.org/anthology/D19-1436.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq |
0 |
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning |
Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1035.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, struct-crf |
0 |
Event Detection with Trigger-Aware Lattice Neural Network |
Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin |
https://www.aclweb.org/anthology/D19-1033.pdf |
2019 |
EMNLP |
# optim-adam, norm-layer, train-mll, train-augment, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-lm, task-condlm, task-seq2seq |
19 |
LXMERT: Learning Cross-Modality Encoder Representations from Transformers |
Hao Tan, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1514.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq |
0 |
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer |
Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao |
https://www.aclweb.org/anthology/D19-1365.pdf |
2019 |
EMNLP |
# optim-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, task-lm, task-seq2seq, task-relation, task-lexicon |
0 |
Multilingual and Multi-Aspect Hate Speech Analysis |
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung |
https://www.aclweb.org/anthology/D19-1474.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, task-relation, task-tree |
0 |
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering |
Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu |
https://www.aclweb.org/anthology/D19-1263.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, loss-cca, task-seq2seq |
0 |
Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis |
Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/D19-1566.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-glove, adv-train, latent-topic, task-textclass, task-seq2seq |
0 |
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis |
Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li |
https://www.aclweb.org/anthology/D19-1478.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, pre-glove, struct-crf |
0 |
Revealing and Predicting Online Persuasion Strategy with Elementary Units |
Gaku Morio, Ryo Egawa, Katsuhide Fujita |
https://www.aclweb.org/anthology/D19-1653.pdf |
2019 |
EMNLP |
# reg-dropout, reg-decay, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq |
2 |
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning |
Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger, Jeremy Howard |
https://www.aclweb.org/anthology/D19-1572.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, pre-glove |
0 |
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs |
Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/D19-1498.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce |
0 |
Learning Dynamic Context Augmentation for Global Entity Linking |
Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren |
https://www.aclweb.org/anthology/D19-1026.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, task-textpair, task-seq2seq |
1 |
Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework |
Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi |
https://www.aclweb.org/anthology/D19-1195.pdf |
2019 |
EMNLP |
# optim-adam, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq, task-cloze |
0 |
Fine-tune BERT with Sparse Self-Attention Mechanism |
Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang |
https://www.aclweb.org/anthology/D19-1361.pdf |
2019 |
EMNLP |
# optim-sgd, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, adv-train |
0 |
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification |
Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su |
https://www.aclweb.org/anthology/D19-1558.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, search-beam, pre-bert, task-lm, task-seq2seq, task-relation |
0 |
Text Genre and Training Data Size in Human-like Parsing |
John Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan |
https://www.aclweb.org/anthology/D19-1594.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass |
0 |
Using Clinical Notes with Time Series Data for ICU Management |
Swaraj Khadanga, Karan Aggarwal, Shafiq Joty, Jaideep Srivastava |
https://www.aclweb.org/anthology/D19-1678.pdf |
2019 |
EMNLP |
# reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext |
0 |
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization |
Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si |
https://www.aclweb.org/anthology/D19-1237.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, pool-max, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, task-textclass, task-seq2seq |
1 |
Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification |
Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu |
https://www.aclweb.org/anthology/D19-1551.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, task-seqlab, task-seq2seq |
0 |
Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration |
Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, Xiaojiang Liu |
https://www.aclweb.org/anthology/D19-1191.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, loss-nce, task-textclass, task-textpair, task-lm, task-cloze |
0 |
Multi-label Categorization of Accounts of Sexism using a Neural Framework |
Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma |
https://www.aclweb.org/anthology/D19-1174.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, pre-bert, task-spanlab |
0 |
Movie Plot Analysis via Turning Point Identification |
Pinelopi Papalampidi, Frank Keller, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1180.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gcnn, arch-cnn, arch-att, arch-memo, pre-glove |
1 |
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation |
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh |
https://www.aclweb.org/anthology/D19-1015.pdf |
2019 |
EMNLP |
# optim-projection, arch-lstm, arch-bilstm, arch-att |
0 |
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas |
Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa, Mathias Niepert |
https://www.aclweb.org/anthology/D19-1645.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-residual, arch-coverage, pre-glove, task-textpair, task-lm, task-relation, task-tree |
0 |
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling |
Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin |
https://www.aclweb.org/anthology/D19-1114.pdf |
2019 |
EMNLP |
# optim-adam, reg-patience, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm |
10 |
Language Models as Knowledge Bases? |
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander Miller |
https://www.aclweb.org/anthology/D19-1250.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-memo, arch-transformer, pre-bert, task-textpair, task-relation |
1 |
STANCY: Stance Classification Based on Consistency Cues |
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum |
https://www.aclweb.org/anthology/D19-1675.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, meta-arch |
1 |
RNN Architecture Learning with Sparse Regularization |
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1110.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-tree |
0 |
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis |
Hiroki Ouchi, Jun Suzuki, Kentaro Inui |
https://www.aclweb.org/anthology/D19-1379.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, reg-patience, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-fasttext, pre-glove, task-textpair, task-seqlab, task-lm, task-relation, task-tree |
0 |
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations |
Max Eichler, Gözde Gül Şahin, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-3022.pdf |
2019 |
EMNLP |
# train-active, arch-lstm, arch-bilstm, arch-cnn, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm |
1 |
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations |
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han |
https://www.aclweb.org/anthology/D19-1519.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
0 |
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations |
Zuyi Bao, Rui Huang, Chen Li, Kenny Zhu |
https://www.aclweb.org/anthology/D19-1095.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, pre-glove, task-condlm, task-seq2seq, task-relation |
0 |
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks |
Chen Zhang, Qiuchi Li, Dawei Song |
https://www.aclweb.org/anthology/D19-1464.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-cnn, arch-att, nondif-reinforce, adv-train, task-textpair |
0 |
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning |
Ruiping Li, Xiang Cheng |
https://www.aclweb.org/anthology/D19-1266.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, pre-glove, pre-skipthought, pre-elmo, pre-use, adv-train, task-textpair, task-seqlab, task-lm, task-seq2seq |
0 |
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation |
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus |
https://www.aclweb.org/anthology/D19-1306.pdf |
2019 |
EMNLP |
# reg-dropout, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-copy, task-seq2seq |
0 |
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time) |
Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu |
https://www.aclweb.org/anthology/D19-1310.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass, task-seq2seq |
1 |
Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification |
Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma |
https://www.aclweb.org/anthology/D19-1043.pdf |
2019 |
EMNLP |
# optim-projection, train-transfer, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-condlm |
0 |
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects |
James Mullenbach, Jonathan Gordon, Nanyun Peng, Jonathan May |
https://www.aclweb.org/anthology/D19-1625.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq |
2 |
Multilingual Neural Machine Translation with Language Clustering |
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1089.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, comb-ensemble, adv-feat, adv-train, task-lm, task-seq2seq |
0 |
Pushing the Limits of Low-Resource Morphological Inflection |
Antonios Anastasopoulos, Graham Neubig |
https://www.aclweb.org/anthology/D19-1091.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, nondif-reinforce, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models |
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano |
https://www.aclweb.org/anthology/D19-1320.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm |
0 |
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/D19-1260.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, pre-glove, pre-bert, nondif-reinforce, task-lm, task-seq2seq |
0 |
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue |
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston |
https://www.aclweb.org/anthology/D19-1203.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-coverage, loss-nce, task-seq2seq, task-tree |
1 |
Global Reasoning over Database Structures for Text-to-SQL Parsing |
Ben Bogin, Matt Gardner, Jonathan Berant |
https://www.aclweb.org/anthology/D19-1378.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-bert |
1 |
A deep-learning framework to detect sarcasm targets |
Jasabanta Patro, Srijan Bansal, Animesh Mukherjee |
https://www.aclweb.org/anthology/D19-1663.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, pre-glove, adv-train, task-textpair, task-spanlab, meta-arch |
3 |
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1455.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-seq2seq |
0 |
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis |
Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang |
https://www.aclweb.org/anthology/D19-1654.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-greedy, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation |
0 |
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited |
Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre |
https://www.aclweb.org/anthology/D19-1277.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, struct-crf, latent-vae, task-seqlab |
0 |
A Boundary-aware Neural Model for Nested Named Entity Recognition |
Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu |
https://www.aclweb.org/anthology/D19-1034.pdf |
2019 |
EMNLP |
# optim-adagrad, reg-patience, arch-lstm, arch-gru, arch-att, arch-memo, pre-glove |
0 |
Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks |
Xingwei Tan, Yi Cai, Changxi Zhu |
https://www.aclweb.org/anthology/D19-1342.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, pre-bert, task-seq2seq, task-relation, task-tree |
0 |
Leveraging Dependency Forest for Neural Medical Relation Extraction |
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su |
https://www.aclweb.org/anthology/D19-1020.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, task-seq2seq |
0 |
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation |
Wanyu Du, Yangfeng Ji |
https://www.aclweb.org/anthology/D19-1619.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-relation |
0 |
Weak Supervision for Learning Discourse Structure |
Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher |
https://www.aclweb.org/anthology/D19-1234.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq |
0 |
Reading Like HER: Human Reading Inspired Extractive Summarization |
Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He |
https://www.aclweb.org/anthology/D19-1300.pdf |
2019 |
EMNLP |
# optim-adadelta, arch-rnn, arch-lstm, arch-att, arch-copy, task-textclass, task-seq2seq |
0 |
SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence |
Jun-U Park, Sang-Ki Ko, Marco Cognetta, Yo-Sub Han |
https://www.aclweb.org/anthology/D19-1677.pdf |
2019 |
EMNLP |
# optim-adam, train-parallel, arch-lstm, arch-att, pre-glove, pre-bert, loss-nce, task-textclass, task-seqlab, task-seq2seq |
0 |
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas |
Dongyeop Kang, Varun Gangal, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1179.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, pre-glove, task-seqlab, task-seq2seq, task-relation, task-tree |
0 |
A Pilot Study for Chinese SQL Semantic Parsing |
Qingkai Min, Yuefeng Shi, Yue Zhang |
https://www.aclweb.org/anthology/D19-1377.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, reg-patience, train-transfer, train-active, arch-lstm, arch-bilstm, comb-ensemble, pre-glove, pre-elmo, adv-examp, adv-train, task-lm |
0 |
To Annotate or Not? Predicting Performance Drop under Domain Shift |
Hady Elsahar, Matthias Gallé |
https://www.aclweb.org/anthology/D19-1222.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, pool-max, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Cross-lingual Structure Transfer for Relation and Event Extraction |
Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss |
https://www.aclweb.org/anthology/D19-1030.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, nondif-reinforce, task-extractive, task-lm, task-seq2seq |
0 |
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning |
Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung |
https://www.aclweb.org/anthology/D19-1303.pdf |
2019 |
EMNLP |
# optim-adam, norm-layer, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, latent-topic, task-lm, task-seq2seq |
1 |
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations |
Peixiang Zhong, Di Wang, Chunyan Miao |
https://www.aclweb.org/anthology/D19-1016.pdf |
2019 |
EMNLP |
# init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, pre-bert |
0 |
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction |
Rujun Han, Qiang Ning, Nanyun Peng |
https://www.aclweb.org/anthology/D19-1041.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, latent-vae, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Core Semantic First: A Top-down Approach for AMR Parsing |
Deng Cai, Wai Lam |
https://www.aclweb.org/anthology/D19-1393.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-lm |
1 |
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text |
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, Meng Jiang |
https://www.aclweb.org/anthology/D19-1029.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-selfatt |
2 |
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning |
Khanh Nguyen, Hal Daumé III |
https://www.aclweb.org/anthology/D19-1063.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree |
1 |
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation |
Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1546.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-lm, task-seq2seq |
0 |
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator |
Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu, Shou-De Lin |
https://www.aclweb.org/anthology/D19-3008.pdf |
2019 |
EMNLP |
# optim-adam, optim-amsgrad, reg-dropout, train-parallel, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-memo, arch-copy, arch-subword, comb-ensemble, pre-bert, task-lm, task-seq2seq |
1 |
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation |
Liliang Ren, Jianmo Ni, Julian McAuley |
https://www.aclweb.org/anthology/D19-1196.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-lstm, arch-gating, pre-glove, loss-margin, task-seq2seq |
0 |
Jointly Learning Entity and Relation Representations for Entity Alignment |
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao |
https://www.aclweb.org/anthology/D19-1023.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph |
0 |
Enhancing AMR-to-Text Generation with Dual Graph Representations |
Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1314.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, nondif-reinforce, task-spanlab, task-condlm, task-seq2seq |
0 |
Let’s Ask Again: Refine Network for Automatic Question Generation |
Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran |
https://www.aclweb.org/anthology/D19-1326.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-lstm, meta-init, meta-optim |
3 |
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs |
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen |
https://www.aclweb.org/anthology/D19-1431.pdf |
2019 |
EMNLP |
# arch-lstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-seq2seq |
0 |
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification |
Vivian Lai, Zheng Cai, Chenhao Tan |
https://www.aclweb.org/anthology/D19-1046.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, activ-tanh, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, task-lm, task-seq2seq, task-relation |
1 |
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks |
Binxuan Huang, Kathleen Carley |
https://www.aclweb.org/anthology/D19-1549.pdf |
2019 |
EMNLP |
# train-transfer, arch-lstm, arch-att, adv-feat, adv-train, latent-topic, task-textclass, task-seq2seq, task-lexicon, task-alignment |
0 |
Topics to Avoid: Demoting Latent Confounds in Text Classification |
Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov |
https://www.aclweb.org/anthology/D19-1425.pdf |
2019 |
EMNLP |
# train-mtl, arch-rnn, arch-lstm, arch-att, arch-memo, task-relation, task-tree |
0 |
Towards Making a Dependency Parser See |
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/D19-1160.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Semantic Relatedness Based Re-ranker for Text Spotting |
Ahmed Sabir, Francesc Moreno, Lluís Padró |
https://www.aclweb.org/anthology/D19-1346.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-gru, arch-att, adv-train, latent-vae, task-lm, task-seq2seq |
0 |
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training |
Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin |
https://www.aclweb.org/anthology/D19-1366.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq |
0 |
Encode, Tag, Realize: High-Precision Text Editing |
Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn |
https://www.aclweb.org/anthology/D19-1510.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass |
0 |
Label Embedding using Hierarchical Structure of Labels for Twitter Classification |
Taro Miyazaki, Kiminobu Makino, Yuka Takei, Hiroki Okamoto, Jun Goto |
https://www.aclweb.org/anthology/D19-1660.pdf |
2019 |
EMNLP |
# train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, task-textclass, task-relation |
0 |
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification |
Shengli Sun, Qingfeng Sun, Kevin Zhou, Tengchao Lv |
https://www.aclweb.org/anthology/D19-1045.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Semantic Role Labeling with Iterative Structure Refinement |
Chunchuan Lyu, Shay B. Cohen, Ivan Titov |
https://www.aclweb.org/anthology/D19-1099.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, task-textclass |
0 |
A Label Informative Wide & Deep Classifier for Patents and Papers |
Muyao Niu, Jie Cai |
https://www.aclweb.org/anthology/D19-1344.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-att, pre-bert, task-lm, task-seq2seq |
0 |
The Woman Worked as a Babysitter: On Biases in Language Generation |
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng |
https://www.aclweb.org/anthology/D19-1339.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilinear, arch-coverage, arch-subword, pre-elmo, pre-bert, latent-vae, task-textpair, task-lm |
0 |
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders |
Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum |
https://www.aclweb.org/anthology/D19-1161.pdf |
2019 |
EMNLP |
# optim-projection, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-copy, pre-bert, task-seq2seq |
0 |
Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set |
Katharina Kann, Kyunghyun Cho, Samuel R. Bowman |
https://www.aclweb.org/anthology/D19-1329.pdf |
2019 |
EMNLP |
# optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, nondif-reinforce |
0 |
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews |
Miao Fan, Chao Feng, Mingming Sun, Ping Li |
https://www.aclweb.org/anthology/D19-1177.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, task-condlm |
1 |
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts |
Sandro Pezzelle, Raquel Fernández |
https://www.aclweb.org/anthology/D19-1285.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-seq2seq, task-tree |
0 |
Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation |
Dongjun Lee |
https://www.aclweb.org/anthology/D19-1624.pdf |
2019 |
EMNLP |
# optim-adagrad, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq, task-graph |
0 |
Concept Pointer Network for Abstractive Summarization |
Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou |
https://www.aclweb.org/anthology/D19-1304.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-energy, adv-train |
0 |
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog |
Ryuichi Takanobu, Hanlin Zhu, Minlie Huang |
https://www.aclweb.org/anthology/D19-1010.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, train-active, arch-lstm, arch-bilstm, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-condlm, task-seq2seq |
2 |
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance |
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger |
https://www.aclweb.org/anthology/D19-1053.pdf |
2019 |
EMNLP |
# reg-dropout, reg-labelsmooth, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, task-textclass, task-lm, task-seq2seq |
3 |
Towards Linear Time Neural Machine Translation with Capsule Networks |
Mingxuan Wang |
https://www.aclweb.org/anthology/D19-1074.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq |
0 |
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag |
Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang, Chunhong Pan |
https://www.aclweb.org/anthology/D19-1213.pdf |
2019 |
EMNLP |
# optim-sgd, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, struct-crf, task-seqlab, task-lexicon |
0 |
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis |
Xiaolei Huang, Jonathan May, Nanyun Peng |
https://www.aclweb.org/anthology/D19-1672.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-lstm, arch-cnn, arch-att, task-seq2seq, task-alignment |
0 |
A Deep Neural Information Fusion Architecture for Textual Network Embeddings |
Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang |
https://www.aclweb.org/anthology/D19-1476.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-word2vec, pre-glove, struct-crf, task-textclass, task-seqlab |
2 |
Practical Obstacles to Deploying Active Learning |
David Lowell, Zachary C. Lipton, Byron C. Wallace |
https://www.aclweb.org/anthology/D19-1003.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Shallow Domain Adaptive Embeddings for Sentiment Analysis |
Prathusha K Sarma, Yingyu Liang, William Sethares |
https://www.aclweb.org/anthology/D19-1557.pdf |
2019 |
EMNLP |
# norm-gradient, arch-rnn, arch-lstm, arch-att, struct-crf, task-seqlab, task-seq2seq |
0 |
Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model |
Hyun-Je Song, Seong-Bae Park |
https://www.aclweb.org/anthology/D19-1150.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-memo, arch-transformer |
0 |
Video Dialog via Progressive Inference and Cross-Transformer |
Weike Jin, Zhou Zhao, Mao Gu, Jun Xiao, Furu Wei, Yueting Zhuang |
https://www.aclweb.org/anthology/D19-1217.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq |
0 |
ParaQG: A System for Generating Questions and Answers from Paragraphs |
Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li |
https://www.aclweb.org/anthology/D19-3030.pdf |
2019 |
EMNLP |
# train-mtl, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq |
0 |
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings |
Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig |
https://www.aclweb.org/anthology/D19-1147.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, pre-word2vec, latent-vae, latent-topic |
1 |
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification |
Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li |
https://www.aclweb.org/anthology/D19-1488.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-lm, meta-arch |
0 |
Sampling Bias in Deep Active Classification: An Empirical Study |
Ameya Prabhu, Charles Dognin, Maneesh Singh |
https://www.aclweb.org/anthology/D19-1417.pdf |
2019 |
EMNLP |
# reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, struct-crf, adv-train |
0 |
Emotion Detection with Neural Personal Discrimination |
Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang |
https://www.aclweb.org/anthology/D19-1552.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-gru, nondif-reinforce, task-seq2seq |
3 |
EGG: a toolkit for research on Emergence of lanGuage in Games |
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni |
https://www.aclweb.org/anthology/D19-3010.pdf |
2019 |
EMNLP |
# train-mll, train-transfer, arch-lstm, pre-bert, adv-feat, adv-train |
0 |
Adversarial Removal of Demographic Attributes Revisited |
Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, Anders Søgaard |
https://www.aclweb.org/anthology/D19-1662.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, comb-ensemble, pre-bert, task-lm |
1 |
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG |
Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/D19-1335.pdf |
2019 |
EMNLP |
# optim-adam, norm-gradient, arch-lstm, arch-att, adv-train, task-lm, task-seq2seq |
0 |
Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora |
Canasai Kruengkrai |
https://www.aclweb.org/anthology/D19-1659.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze |
4 |
Revealing the Dark Secrets of BERT |
Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky |
https://www.aclweb.org/anthology/D19-1445.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-bert, adv-examp, task-textpair, task-spanlab, task-lm, task-seq2seq, task-tree |
2 |
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text |
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton |
https://www.aclweb.org/anthology/D19-1458.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, search-beam, pre-word2vec, struct-crf, latent-vae, task-seqlab, task-lm, task-relation, task-tree |
0 |
Neural Generative Rhetorical Structure Parsing |
Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos |
https://www.aclweb.org/anthology/D19-1233.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-viterbi, struct-crf, task-seqlab |
1 |
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction |
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian |
https://www.aclweb.org/anthology/D19-1032.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-textpair, task-lm |
0 |
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation |
Dong Qian, William K. Cheung |
https://www.aclweb.org/anthology/D19-1416.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-labelsmooth, train-mll, train-transfer, arch-lstm, task-lm, task-seq2seq, task-relation |
0 |
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding |
Quynh Do, Judith Gaspers |
https://www.aclweb.org/anthology/D19-1153.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-cnn, arch-coverage, pre-glove, struct-cfg, task-lm |
0 |
What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments |
David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan |
https://www.aclweb.org/anthology/D19-1289.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt |
0 |
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems |
Jia Li, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1128.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-elmo, task-textpair, task-seq2seq |
0 |
Query-focused Scenario Construction |
Su Wang, Greg Durrett, Katrin Erk |
https://www.aclweb.org/anthology/D19-1273.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq |
1 |
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis |
Hao Li, Wei Lu |
https://www.aclweb.org/anthology/D19-1550.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, reg-patience, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq, task-relation |
6 |
SciBERT: A Pretrained Language Model for Scientific Text |
Iz Beltagy, Kyle Lo, Arman Cohan |
https://www.aclweb.org/anthology/D19-1371.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, arch-transformer, task-lm, task-seq2seq |
0 |
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset |
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik |
https://www.aclweb.org/anthology/D19-1459.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm, task-seq2seq |
2 |
Certified Robustness to Adversarial Word Substitutions |
Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang |
https://www.aclweb.org/anthology/D19-1423.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, pre-glove, task-lm, task-seq2seq, task-graph |
0 |
Sentence-Level Content Planning and Style Specification for Neural Text Generation |
Xinyu Hua, Lu Wang |
https://www.aclweb.org/anthology/D19-1055.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, pool-max, arch-lstm, arch-cnn, arch-att, adv-train |
0 |
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data |
Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun |
https://www.aclweb.org/anthology/D19-1021.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, train-mll, train-transfer, train-augment, arch-lstm, arch-transformer, pre-fasttext, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation |
0 |
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages |
Clara Vania, Yova Kementchedjhieva, Anders Søgaard, Adam Lopez |
https://www.aclweb.org/anthology/D19-1102.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, pool-max, arch-lstm, arch-bilstm, arch-att, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, task-seqlab, task-spanlab |
3 |
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases |
Christopher Clark, Mark Yatskar, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1418.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-lstm, arch-att, pre-bert, task-textpair, task-spanlab |
0 |
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level |
Zixian Huang, Yulin Shen, Xiao Li, Yu’ang Wei, Gong Cheng, Lin Zhou, Xinyu Dai, Yuzhong Qu |
https://www.aclweb.org/anthology/D19-1597.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-labelsmooth, norm-batch, norm-gradient, pool-max, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-cloze, task-relation |
2 |
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow |
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1437.pdf |
2019 |
EMNLP |
# optim-projection, train-augment, pool-mean, arch-rnn, arch-lstm, arch-att, task-tree |
2 |
Executing Instructions in Situated Collaborative Interactions |
Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi |
https://www.aclweb.org/anthology/D19-1218.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-stopping, arch-lstm, arch-memo, comb-ensemble, pre-bert, latent-vae, task-textpair |
0 |
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds |
John P. Lalor, Hao Wu, Hong Yu |
https://www.aclweb.org/anthology/D19-1434.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, pre-word2vec, adv-train |
0 |
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction |
Xiang Deng, Huan Sun |
https://www.aclweb.org/anthology/D19-1039.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-augment, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, pre-glove, pre-bert, task-seq2seq, task-tree |
0 |
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions |
Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev |
https://www.aclweb.org/anthology/D19-1537.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, search-beam, pre-elmo, pre-bert, task-lm, task-seq2seq |
0 |
Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints |
Masaaki Nishino, Sho Takase, Tsutomu Hirao, Masaaki Nagata |
https://www.aclweb.org/anthology/D19-1674.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, arch-lstm, arch-att, pre-glove, latent-vae, latent-topic, task-seq2seq |
0 |
Coupling Global and Local Context for Unsupervised Aspect Extraction |
Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong |
https://www.aclweb.org/anthology/D19-1465.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment |
0 |
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator |
Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow |
https://www.aclweb.org/anthology/D19-1390.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, arch-lstm, arch-cnn, pre-glove, task-textclass |
0 |
Learning Only from Relevant Keywords and Unlabeled Documents |
Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama |
https://www.aclweb.org/anthology/D19-1411.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, search-beam, nondif-reinforce, task-relation |
0 |
Collaborative Policy Learning for Open Knowledge Graph Reasoning |
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren |
https://www.aclweb.org/anthology/D19-1269.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, nondif-reinforce, adv-train, latent-vae, task-lm |
0 |
Learning Rhyming Constraints using Structured Adversaries |
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/D19-1621.pdf |
2019 |
EMNLP |
# optim-adagrad, init-glorot, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-textpair, task-seq2seq |
1 |
Induction Networks for Few-Shot Text Classification |
Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun |
https://www.aclweb.org/anthology/D19-1403.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-bilstm, arch-att, task-lm, task-seq2seq |
3 |
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training |
Hila Gonen, Yoav Goldberg |
https://www.aclweb.org/anthology/D19-1427.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, task-tree |
0 |
Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL |
Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li |
https://www.aclweb.org/anthology/D19-1356.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-transformer, pre-fasttext, pre-bert, latent-topic |
0 |
The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets |
Charuta Pethe, Steve Skiena |
https://www.aclweb.org/anthology/D19-1175.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, nondif-reinforce, loss-margin |
0 |
Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning |
Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao |
https://www.aclweb.org/anthology/D19-1264.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seq2seq |
0 |
Multi-Task Stance Detection with Sentiment and Stance Lexicons |
Yingjie Li, Cornelia Caragea |
https://www.aclweb.org/anthology/D19-1657.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, train-transfer, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon |
8 |
75 Languages, 1 Model: Parsing Universal Dependencies Universally |
Dan Kondratyuk, Milan Straka |
https://www.aclweb.org/anthology/D19-1279.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seq2seq, task-tree |
2 |
Learning Programmatic Idioms for Scalable Semantic Parsing |
Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1545.pdf |
2019 |
EMNLP |
# train-mtl, arch-lstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, pre-bert, task-relation |
0 |
A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature |
He Zhao, Zhunchen Luo, Chong Feng, Anqing Zheng, Xiaopeng Liu |
https://www.aclweb.org/anthology/D19-1524.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, struct-crf, task-textclass, task-seq2seq |
0 |
A System for Diacritizing Four Varieties of Arabic |
Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, Mohamed Eldesouki, Younes Samih, Hassan Sajjad |
https://www.aclweb.org/anthology/D19-3037.pdf |
2019 |
EMNLP |
# reg-dropout, reg-stopping, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
Joey NMT: A Minimalist NMT Toolkit for Novices |
Julia Kreutzer, Joost Bastings, Stefan Riezler |
https://www.aclweb.org/anthology/D19-3019.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze |
1 |
Visualizing and Understanding the Effectiveness of BERT |
Yaru Hao, Li Dong, Furu Wei, Ke Xu |
https://www.aclweb.org/anthology/D19-1424.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, task-seq2seq, task-relation |
0 |
Toward a Task of Feedback Comment Generation for Writing Learning |
Ryo Nagata |
https://www.aclweb.org/anthology/D19-1316.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, reg-norm, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, task-lm, task-relation |
0 |
Specializing Word Embeddings (for Parsing) by Information Bottleneck |
Xiang Lisa Li, Jason Eisner |
https://www.aclweb.org/anthology/D19-1276.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-residual, search-greedy, search-beam, latent-vae, task-textclass, task-condlm, task-seq2seq |
0 |
Exploring Diverse Expressions for Paraphrase Generation |
Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu |
https://www.aclweb.org/anthology/D19-1313.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-glove |
1 |
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots |
Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu |
https://www.aclweb.org/anthology/D19-1193.pdf |
2019 |
EMNLP |
# optim-sgd, init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, search-viterbi, struct-crf, task-seqlab, task-relation |
0 |
Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph |
Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen |
https://www.aclweb.org/anthology/D19-1508.pdf |
2019 |
EMNLP |
# reg-dropout, reg-stopping, reg-patience, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-textpair, task-spanlab |
0 |
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims |
Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen |
https://www.aclweb.org/anthology/D19-1475.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Graph-based Deep Learning in Natural Language Processing |
Shikhar Vashishth, Naganand Yadati, Partha Talukdar |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, meta-arch |
0 |
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition |
Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
https://www.aclweb.org/anthology/D19-1367.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq |
1 |
Neural Naturalist: Generating Fine-Grained Image Comparisons |
Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie |
https://www.aclweb.org/anthology/D19-1065.pdf |
2019 |
EMNLP |
# train-parallel, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq |
4 |
Adaptively Sparse Transformers |
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins |
https://www.aclweb.org/anthology/D19-1223.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, adv-train, task-lm, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction |
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi |
https://www.aclweb.org/anthology/D19-1414.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-examp, adv-train, task-textpair, task-lm |
0 |
A Logic-Driven Framework for Consistency of Neural Models |
Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar |
https://www.aclweb.org/anthology/D19-1405.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-elmo, task-textclass, task-lm |
0 |
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data |
Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, Mona Diab |
https://www.aclweb.org/anthology/D19-1460.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, optim-projection, init-glorot, reg-dropout, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-residual, arch-bilinear, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-seq2seq, task-relation, task-tree |
0 |
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling |
Yue Zhang, Rui Wang, Luo Si |
https://www.aclweb.org/anthology/D19-1057.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq |
1 |
Can You Unpack That? Learning to Rewrite Questions-in-Context |
Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber |
https://www.aclweb.org/anthology/D19-1605.pdf |
2019 |
EMNLP |
# optim-adam, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-spanlab, task-seq2seq, task-alignment |
1 |
Hint-Based Training for Non-Autoregressive Machine Translation |
Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1573.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Detecting and Reducing Bias in a High Stakes Domain |
Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown |
https://www.aclweb.org/anthology/D19-1483.pdf |
2019 |
EMNLP |
# arch-lstm, arch-cnn, arch-transformer, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons |
Ji Xin, Jimmy Lin, Yaoliang Yu |
https://www.aclweb.org/anthology/D19-1591.pdf |
2019 |
EMNLP |
# train-mtl, pool-max, arch-lstm, arch-att, task-textpair, task-lm, task-seq2seq, task-relation |
0 |
Query-focused Sentence Compression in Linear Time |
Abram Handler, Brendan O’Connor |
https://www.aclweb.org/anthology/D19-1612.pdf |
2019 |
EMNLP |
# optim-projection, arch-lstm, arch-cnn, task-lm, task-condlm |
0 |
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation |
Mingyang Zhou, Josh Arnold, Zhou Yu |
https://www.aclweb.org/anthology/D19-1014.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-spanlab |
0 |
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network |
Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1602.pdf |
2019 |
EMNLP |
# reg-dropout, reg-stopping, reg-patience, arch-lstm, arch-cnn, search-viterbi, pre-word2vec, pre-fasttext, pre-elmo, pre-bert |
0 |
HARE: a Flexible Highlighting Annotator for Ranking and Exploration |
Denis Newman-Griffis, Eric Fosler-Lussier |
https://www.aclweb.org/anthology/D19-3015.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-textpair, task-seq2seq |
0 |
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP |
Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández |
https://www.aclweb.org/anthology/D19-1477.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, comb-ensemble, search-beam, nondif-reinforce, task-lm, task-condlm, task-seq2seq |
2 |
Countering Language Drift via Visual Grounding |
Jason Lee, Kyunghyun Cho, Douwe Kiela |
https://www.aclweb.org/anthology/D19-1447.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-seq2seq, meta-arch |
1 |
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego |
Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang |
https://www.aclweb.org/anthology/D19-3028.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, latent-topic, task-textclass, task-seqlab |
0 |
Interpretable Relevant Emotion Ranking with Event-Driven Attention |
Yang Yang, Deyu Zhou, Yulan He, Meng Zhang |
https://www.aclweb.org/anthology/D19-1017.pdf |
2019 |
EMNLP |
# train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-bert, task-extractive |
1 |
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses |
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis |
https://www.aclweb.org/anthology/D19-1620.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-bert, loss-nce, task-textpair, task-lm |
4 |
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning |
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren |
https://www.aclweb.org/anthology/D19-1282.pdf |
2019 |
EMNLP |
# train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, pre-skipthought, task-seq2seq |
0 |
A Modular Architecture for Unsupervised Sarcasm Generation |
Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan |
https://www.aclweb.org/anthology/D19-1636.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, struct-crf, task-textclass, task-tree |
0 |
Reconstructing Capsule Networks for Zero-shot Intent Classification |
Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y.S. Lam |
https://www.aclweb.org/anthology/D19-1486.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-coverage, comb-ensemble, pre-word2vec, struct-crf, task-textclass |
0 |
Coverage of Information Extraction from Sentences and Paragraphs |
Simon Razniewski, Nitisha Jain, Paramita Mirza, Gerhard Weikum |
https://www.aclweb.org/anthology/D19-1583.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-lstm, arch-bilstm, task-relation |
0 |
Multilingual Grammar Induction with Continuous Language Identification |
Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu |
https://www.aclweb.org/anthology/D19-1576.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-bert, struct-crf |
1 |
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding |
Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu |
https://www.aclweb.org/anthology/D19-1214.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, struct-crf, adv-train, task-seqlab, task-seq2seq |
3 |
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning |
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang |
https://www.aclweb.org/anthology/D19-1466.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, search-viterbi, struct-crf, task-textclass, task-seqlab |
0 |
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network |
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
https://www.aclweb.org/anthology/D19-1396.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, search-viterbi, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-seq2seq |
0 |
Leveraging Medical Literature for Section Prediction in Electronic Health Records |
Sara Rosenthal, Ken Barker, Zhicheng Liang |
https://www.aclweb.org/anthology/D19-1492.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, train-augment, arch-lstm, arch-bilstm, task-relation |
0 |
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers |
Adam Fisch, Jiang Guo, Regina Barzilay |
https://www.aclweb.org/anthology/D19-1574.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, latent-topic, task-lm |
0 |
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation |
Binxuan Huang, Kathleen Carley |
https://www.aclweb.org/anthology/D19-1480.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-stopping, train-mll, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-spanlab, task-lm, task-seq2seq |
1 |
Retrofitting Contextualized Word Embeddings with Paraphrases |
Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang |
https://www.aclweb.org/anthology/D19-1113.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-seqlab, task-relation |
0 |
Talk2Car: Taking Control of Your Self-Driving Car |
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens |
https://www.aclweb.org/anthology/D19-1215.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, pre-glove, task-seqlab |
0 |
“A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia |
Michel Schwab, Robert Jäschke, Frank Fischer, Jannik Strötgen |
https://www.aclweb.org/anthology/D19-1647.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-selfatt, task-spanlab, task-seq2seq |
0 |
Question-type Driven Question Generation |
Wenjie Zhou, Minghua Zhang, Yunfang Wu |
https://www.aclweb.org/anthology/D19-1622.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-tree |
1 |
What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering |
Tushar Khot, Ashish Sabharwal, Peter Clark |
https://www.aclweb.org/anthology/D19-1281.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, struct-cfg, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree |
0 |
PaLM: A Hybrid Parser and Language Model |
Hao Peng, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1376.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-bert, struct-crf, task-extractive, task-seq2seq, task-relation |
0 |
Extractive Summarization of Long Documents by Combining Global and Local Context |
Wen Xiao, Giuseppe Carenini |
https://www.aclweb.org/anthology/D19-1298.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-bilstm, arch-cnn, nondif-reinforce, adv-examp, task-textclass, task-seq2seq |
0 |
Adversarial Reprogramming of Text Classification Neural Networks |
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar |
https://www.aclweb.org/anthology/D19-1525.pdf |
2019 |
EMNLP |
# reg-dropout, reg-norm, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training |
Giannis Karamanolakis, Daniel Hsu, Luis Gravano |
https://www.aclweb.org/anthology/D19-1468.pdf |
2019 |
EMNLP |
# optim-projection, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, task-seq2seq, task-tree |
0 |
Look-up and Adapt: A One-shot Semantic Parser |
Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell |
https://www.aclweb.org/anthology/D19-1104.pdf |
2019 |
EMNLP |
# reg-dropout, arch-lstm, arch-att, pre-glove, pre-elmo, pre-bert, task-seqlab, task-lm, task-cloze |
1 |
BERT for Coreference Resolution: Baselines and Analysis |
Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel Weld |
https://www.aclweb.org/anthology/D19-1588.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-subword, struct-crf, latent-topic, task-seqlab, task-seq2seq |
1 |
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers |
Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell |
https://www.aclweb.org/anthology/D19-1520.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, adv-train, task-lm, task-seq2seq |
0 |
Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification |
Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun |
https://www.aclweb.org/anthology/D19-1553.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, task-seq2seq |
0 |
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space |
Kawin Ethayarajh |
https://www.aclweb.org/anthology/D19-1354.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-stopping, train-mll, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-seq2seq |
0 |
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification |
Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun |
https://www.aclweb.org/anthology/D19-1554.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, pre-glove, task-seqlab, task-seq2seq |
0 |
Extracting Possessions from Social Media: Images Complement Language |
Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco |
https://www.aclweb.org/anthology/D19-1061.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-cloze |
3 |
Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs |
Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman |
https://www.aclweb.org/anthology/D19-1286.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-norm, arch-lstm, arch-att, arch-memo, nondif-reinforce, latent-topic |
0 |
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning |
Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou |
https://www.aclweb.org/anthology/D19-1560.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, pre-word2vec, pre-glove, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
8 |
Universal Adversarial Triggers for Attacking and Analyzing NLP |
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/D19-1221.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, pre-fasttext, struct-crf, loss-nce |
0 |
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning |
Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-3013.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, task-seq2seq, task-graph |
2 |
VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling |
Andrea Di Fabio, Simone Conia, Roberto Navigli |
https://www.aclweb.org/anthology/D19-1058.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, pre-word2vec, pre-fasttext, task-textclass, task-seq2seq |
0 |
ProSeqo: Projection Sequence Networks for On-Device Text Classification |
Zornitsa Kozareva, Sujith Ravi |
https://www.aclweb.org/anthology/D19-1402.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, struct-cfg, task-lm, task-seq2seq, task-cloze, task-tree |
0 |
Tree Transformer: Integrating Tree Structures into Self-Attention |
Yaushian Wang, Hung-Yi Lee, Yun-Nung Chen |
https://www.aclweb.org/anthology/D19-1098.pdf |
2019 |
EMNLP |
# optim-projection, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, task-textclass, task-extractive, task-lm, task-condlm, task-seq2seq |
0 |
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining |
Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel |
https://www.aclweb.org/anthology/D19-1556.pdf |
2019 |
EMNLP |
# train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-bert, task-seqlab, task-lm, task-relation |
3 |
Small and Practical BERT Models for Sequence Labeling |
Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, Amelia Archer |
https://www.aclweb.org/anthology/D19-1374.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-mtl, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-coverage, pre-word2vec, latent-topic, task-spanlab, task-seq2seq |
0 |
A Neural Citation Count Prediction Model based on Peer Review Text |
Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen |
https://www.aclweb.org/anthology/D19-1497.pdf |
2019 |
EMNLP |
# train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq |
0 |
Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains |
Wei Shi, Vera Demberg |
https://www.aclweb.org/anthology/D19-1586.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-recnn, arch-cnn, arch-att, arch-memo, arch-copy, comb-ensemble, pre-word2vec, task-tree |
0 |
Tree-structured Decoding for Solving Math Word Problems |
Qianying Liu, Wenyv Guan, Sujian Li, Daisuke Kawahara |
https://www.aclweb.org/anthology/D19-1241.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-coverage, pre-glove, pre-elmo, task-lm, task-seq2seq, task-alignment |
0 |
Recursive Context-Aware Lexical Simplification |
Sian Gooding, Ekaterina Kochmar |
https://www.aclweb.org/anthology/D19-1491.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, pre-use, loss-triplet, task-textpair |
5 |
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks |
Nils Reimers, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1410.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, pre-use, adv-train, loss-cca, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze |
0 |
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection |
Nina Poerner, Hinrich Schütze |
https://www.aclweb.org/anthology/D19-1173.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-memo, pre-glove |
0 |
A Progressive Model to Enable Continual Learning for Semantic Slot Filling |
Yilin Shen, Xiangyu Zeng, Hongxia Jin |
https://www.aclweb.org/anthology/D19-1126.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-subword, struct-crf, task-lm |
0 |
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary |
Adithya Renduchintala, Philipp Koehn, Jason Eisner |
https://www.aclweb.org/anthology/D19-1679.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, search-beam, task-lm, task-relation, task-tree |
0 |
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal |
Benoit Crabbé, Murielle Fabre, Christophe Pallier |
https://www.aclweb.org/anthology/D19-1106.pdf |
2019 |
EMNLP |
# train-mll, arch-lstm, arch-bilstm, arch-transformer, pre-fasttext, pre-bert, adv-examp, task-textpair, task-condlm, task-seq2seq |
1 |
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification |
Yinfei Yang, Yuan Zhang, Chris Tar, Jason Baldridge |
https://www.aclweb.org/anthology/D19-1382.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-memo, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations |
Mingda Chen, Zewei Chu, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1060.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-elmo, task-lm, task-seq2seq, task-tree |
0 |
A Unified Neural Coherence Model |
Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty, Chi Xu |
https://www.aclweb.org/anthology/D19-1231.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, latent-topic, task-tree |
0 |
Negative Focus Detection via Contextual Attention Mechanism |
Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw |
https://www.aclweb.org/anthology/D19-1230.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seq2seq, task-relation, task-alignment |
0 |
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank |
Meishan Zhang, Yue Zhang, Guohong Fu |
https://www.aclweb.org/anthology/D19-1092.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-spanlab, task-seq2seq, task-tree |
0 |
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs |
Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang |
https://www.aclweb.org/anthology/D19-1187.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-cnn, pre-fasttext, pre-glove, pre-bert, adv-examp, adv-train, task-textclass, task-spanlab, task-seq2seq |
3 |
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack |
Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston |
https://www.aclweb.org/anthology/D19-1461.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, task-seqlab, task-seq2seq |
3 |
Multi-Granularity Self-Attention for Neural Machine Translation |
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu |
https://www.aclweb.org/anthology/D19-1082.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm |
0 |
Neural Duplicate Question Detection without Labeled Training Data |
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1171.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-energy, search-sampling, pre-glove, struct-crf, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Autoregressive Text Generation Beyond Feedback Loops |
Florian Schmidt, Stephan Mandt, Thomas Hofmann |
https://www.aclweb.org/anthology/D19-1338.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Mixture Content Selection for Diverse Sequence Generation |
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/D19-1308.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm |
0 |
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization |
Daniel Deutsch, Dan Roth |
https://www.aclweb.org/anthology/D19-1386.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-adadelta, reg-decay, arch-lstm, arch-recnn, arch-treelstm, arch-att, arch-coverage, search-beam, pre-glove, struct-cfg, nondif-reinforce, latent-vae, task-textpair, task-lm, task-condlm |
5 |
Cooperative Learning of Disjoint Syntax and Semantics |
Serhii Havrylov, Germán Kruszewski, Armand Joulin |
https://www.aclweb.org/anthology/N19-1115.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-coverage, pre-word2vec, struct-crf, latent-vae, loss-nce, task-seqlab, task-relation |
0 |
Neural Chinese Address Parsing |
Hao Li, Wei Lu, Pengjun Xie, Linlin Li |
https://www.aclweb.org/anthology/N19-1346.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, pre-elmo, loss-cca, loss-svd, task-seqlab, task-lm, task-seq2seq |
13 |
Understanding Learning Dynamics Of Language Models with SVCCA |
Naomi Saphra, Adam Lopez |
https://www.aclweb.org/anthology/N19-1329.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, task-seq2seq |
4 |
Positional Encoding to Control Output Sequence Length |
Sho Takase, Naoaki Okazaki |
https://www.aclweb.org/anthology/N19-1401.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, task-lm |
15 |
The emergence of number and syntax units in LSTM language models |
Yair Lakretz, German Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni |
https://www.aclweb.org/anthology/N19-1002.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree |
4 |
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering |
Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku |
https://www.aclweb.org/anthology/N19-1031.pdf |
2019 |
NAA-CL |
# reg-dropout, train-mtl, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, task-lm, task-tree |
1 |
Neural Constituency Parsing of Speech Transcripts |
Paria Jamshid Lou, Yufei Wang, Mark Johnson |
https://www.aclweb.org/anthology/N19-1282.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, train-mll, arch-lstm, task-lm, task-alignment |
2 |
A Probabilistic Generative Model of Linguistic Typology |
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein |
https://www.aclweb.org/anthology/N19-1156.pdf |
2019 |
NAA-CL |
# optim-adam, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, latent-vae |
3 |
Be Consistent! Improving Procedural Text Comprehension using Label Consistency |
Xinya Du, Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie |
https://www.aclweb.org/anthology/N19-1244.pdf |
2019 |
NAA-CL |
# reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, task-textpair, task-seq2seq |
1 |
Simple Attention-Based Representation Learning for Ranking Short Social Media Posts |
Peng Shi, Jinfeng Rao, Jimmy Lin |
https://www.aclweb.org/anthology/N19-1229.pdf |
2019 |
NAA-CL |
# reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, search-beam, task-lm, task-seq2seq, task-tree |
19 |
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout |
Hao Tan, Licheng Yu, Mohit Bansal |
https://www.aclweb.org/anthology/N19-1268.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, struct-crf, task-textclass, task-lm, task-seq2seq |
5 |
Improving Lemmatization of Non-Standard Languages with Joint Learning |
Enrique Manjavacas, Ákos Kádár, Mike Kestemont |
https://www.aclweb.org/anthology/N19-1153.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-glove, pre-elmo, task-textpair, task-lm, task-condlm, task-seq2seq, task-tree |
1 |
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting |
J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme |
https://www.aclweb.org/anthology/N19-1090.pdf |
2019 |
NAA-CL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, search-beam |
19 |
MuST-C: a Multilingual Speech Translation Corpus |
Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, Marco Turchi |
https://www.aclweb.org/anthology/N19-1202.pdf |
2019 |
NAA-CL |
# optim-projection, reg-dropout, train-mll, arch-lstm, adv-train, task-relation, task-tree, task-alignment |
1 |
Typological Features for Multilingual Delexicalised Dependency Parsing |
Manon Scholivet, Franck Dary, Alexis Nasr, Benoit Favre, Carlos Ramisch |
https://www.aclweb.org/anthology/N19-1393.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment |
12 |
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog |
Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis |
https://www.aclweb.org/anthology/N19-1380.pdf |
2019 |
NAA-CL |
# pool-mean, arch-lstm, arch-cnn, arch-att, arch-selfatt, comb-ensemble, pre-fasttext, pre-glove, struct-crf, loss-cca, loss-margin, task-textclass |
1 |
Ranking-Based Autoencoder for Extreme Multi-label Classification |
Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou |
https://www.aclweb.org/anthology/N19-1289.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, struct-crf, task-textclass, task-seq2seq |
3 |
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition |
Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/N19-1037.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-glove, task-textclass, task-textpair, task-condlm, task-seq2seq |
59 |
Attention is not Explanation |
Sarthak Jain, Byron C. Wallace |
https://www.aclweb.org/anthology/N19-1357.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mll, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, struct-crf, latent-vae, loss-svd, task-seqlab, task-lm |
1 |
Misspelling Oblivious Word Embeddings |
Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira, Fabrizio Silvestri |
https://www.aclweb.org/anthology/N19-1326.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-lstm, pre-glove, task-seqlab |
0 |
“President Vows to Cut Hair”: Dataset and Analysis of Creative Text Editing for Humorous Headlines |
Nabil Hossain, John Krumm, Michael Gamon |
https://www.aclweb.org/anthology/N19-1012.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-seq2seq, task-tree |
1 |
PoMo: Generating Entity-Specific Post-Modifiers in Context |
Jun Seok Kang, Robert Logan, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian |
https://www.aclweb.org/anthology/N19-1089.pdf |
2019 |
NAA-CL |
# reg-norm, arch-lstm, arch-bilstm, arch-att, search-viterbi, struct-hmm, struct-crf, latent-vae, task-seqlab |
4 |
Better Modeling of Incomplete Annotations for Named Entity Recognition |
Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li |
https://www.aclweb.org/anthology/N19-1079.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, latent-vae, task-lm |
5 |
Document-Level N-ary Relation Extraction with Multiscale Representation Learning |
Robin Jia, Cliff Wong, Hoifung Poon |
https://www.aclweb.org/anthology/N19-1370.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, reg-worddropout, reg-patience, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-subword, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm |
27 |
Pooled Contextualized Embeddings for Named Entity Recognition |
Alan Akbik, Tanja Bergmann, Roland Vollgraf |
https://www.aclweb.org/anthology/N19-1078.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, pre-glove |
0 |
Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition |
Jumayel Islam, Robert E. Mercer, Lu Xiao |
https://www.aclweb.org/anthology/N19-1137.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-memo, pre-bert, struct-crf, task-seqlab |
3 |
A Silver Standard Corpus of Human Phenotype-Gene Relations |
Diana Sousa, Andre Lamurias, Francisco M. Couto |
https://www.aclweb.org/anthology/N19-1152.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues |
Sungjoon Park, Donghyun Kim, Alice Oh |
https://www.aclweb.org/anthology/N19-1148.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-adagrad, optim-projection, reg-norm, arch-lstm, arch-bilstm, arch-memo, pre-glove, latent-topic, task-lexicon |
1 |
Sentence Embedding Alignment for Lifelong Relation Extraction |
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
https://www.aclweb.org/anthology/N19-1086.pdf |
2019 |
NAA-CL |
# reg-dropout, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq |
3 |
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection |
Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang |
https://www.aclweb.org/anthology/N19-1352.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, latent-vae, task-seq2seq, task-relation |
1 |
Detecting Cybersecurity Events from Noisy Short Text |
Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli |
https://www.aclweb.org/anthology/N19-1138.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, task-lm |
3 |
Recursive Routing Networks: Learning to Compose Modules for Language Understanding |
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen |
https://www.aclweb.org/anthology/N19-1365.pdf |
2019 |
NAA-CL |
# optim-adam, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-alignment |
3 |
Curriculum Learning for Domain Adaptation in Neural Machine Translation |
Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh |
https://www.aclweb.org/anthology/N19-1189.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm |
3 |
Mining Discourse Markers for Unsupervised Sentence Representation Learning |
Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller |
https://www.aclweb.org/anthology/N19-1351.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, reg-decay, train-active, arch-lstm, pre-word2vec, latent-vae, task-textclass, task-seqlab |
0 |
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks |
Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou |
https://www.aclweb.org/anthology/N19-1295.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, pre-glove, struct-crf, task-lm, task-seq2seq |
0 |
Early Rumour Detection |
Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau |
https://www.aclweb.org/anthology/N19-1163.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-decay, norm-batch, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, task-lm, task-seq2seq |
23 |
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation |
Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater |
https://www.aclweb.org/anthology/N19-1006.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq |
17 |
Star-Transformer |
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang |
https://www.aclweb.org/anthology/N19-1133.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab |
3 |
GraphIE: A Graph-Based Framework for Information Extraction |
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay |
https://www.aclweb.org/anthology/N19-1082.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, search-beam, task-condlm, task-seq2seq, task-tree |
0 |
Context Dependent Semantic Parsing over Temporally Structured Data |
Charles Chen, Razvan Bunescu |
https://www.aclweb.org/anthology/N19-1360.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-rnn, arch-lstm, arch-coverage, search-beam, task-lm, task-tree |
6 |
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies |
Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy |
https://www.aclweb.org/anthology/N19-1334.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq |
2 |
Jointly Extracting and Compressing Documents with Summary State Representations |
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen |
https://www.aclweb.org/anthology/N19-1397.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-transfer, arch-lstm, arch-cnn, arch-memo, latent-vae, task-lm |
3 |
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling |
Prince Zizhuang Wang, William Yang Wang |
https://www.aclweb.org/anthology/N19-1025.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree |
4 |
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases |
Yu Chen, Lingfei Wu, Mohammed J. Zaki |
https://www.aclweb.org/anthology/N19-1299.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation |
3 |
Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging |
Apostolos Kemos, Heike Adel, Hinrich Schütze |
https://www.aclweb.org/anthology/N19-1280.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment |
0 |
Zero-Shot Cross-Lingual Opinion Target Extraction |
Soufian Jebbara, Philipp Cimiano |
https://www.aclweb.org/anthology/N19-1257.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, task-textpair |
0 |
Using Natural Language Relations between Answer Choices for Machine Comprehension |
Rajkumar Pujari, Dan Goldwasser |
https://www.aclweb.org/anthology/N19-1403.pdf |
2019 |
NAA-CL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, arch-subword, search-beam, search-viterbi, struct-crf, latent-topic, task-textpair, task-seqlab, task-lm, task-seq2seq |
0 |
Incorporating Word Attention into Character-Based Word Segmentation |
Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada |
https://www.aclweb.org/anthology/N19-1276.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab |
1 |
An Encoding Strategy Based Word-Character LSTM for Chinese NER |
Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song, Yueran Zu |
https://www.aclweb.org/anthology/N19-1247.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-gru, arch-att, latent-vae, task-seq2seq, task-lexicon |
3 |
Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms |
Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard Hovy |
https://www.aclweb.org/anthology/N19-1364.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-lstm, arch-coverage, pre-word2vec, struct-crf, task-seqlab |
1 |
TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy |
Lin Sun, Kai Zhang, Fule Ji, Zhenhua Yang |
https://www.aclweb.org/anthology/N19-2022.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-memo, pre-elmo, pre-bert, task-lm, task-cloze |
16 |
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence |
Chi Sun, Luyao Huang, Xipeng Qiu |
https://www.aclweb.org/anthology/N19-1035.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, norm-gradient, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-memo, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seq2seq, task-relation |
3 |
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations |
Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang |
https://www.aclweb.org/anthology/N19-1118.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-rnn, arch-lstm, arch-att, search-beam, adv-train, latent-vae, task-condlm, task-seq2seq |
5 |
Answer-based Adversarial Training for Generating Clarification Questions |
Sudha Rao, Hal Daumé III |
https://www.aclweb.org/anthology/N19-1013.pdf |
2019 |
NAA-CL |
# norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm, task-condlm, task-seq2seq |
5 |
Evaluating Text GANs as Language Models |
Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant |
https://www.aclweb.org/anthology/N19-1233.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-seq2seq, task-tree |
2 |
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems |
Ting-Rui Chiang, Yun-Nung Chen |
https://www.aclweb.org/anthology/N19-1272.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-textclass, task-relation |
1 |
Topic Spotting using Hierarchical Networks with Self Attention |
Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia |
https://www.aclweb.org/anthology/N19-1376.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-memo, search-beam, struct-cfg, task-lm, task-seq2seq |
0 |
Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar |
Wenchao Du, Alan W Black |
https://www.aclweb.org/anthology/N19-1377.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-word2vec, task-lm, task-relation |
3 |
Incorporating Emoji Descriptions Improves Tweet Classification |
Abhishek Singh, Eduardo Blanco, Wei Jin |
https://www.aclweb.org/anthology/N19-1214.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, nondif-reinforce, latent-vae, task-seq2seq, task-tree |
17 |
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models |
Tiancheng Zhao, Kaige Xie, Maxine Eskenazi |
https://www.aclweb.org/anthology/N19-1123.pdf |
2019 |
NAA-CL |
# train-transfer, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm |
1 |
Using Similarity Measures to Select Pretraining Data for NER |
Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris |
https://www.aclweb.org/anthology/N19-1149.pdf |
2019 |
NAA-CL |
# optim-adam, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-relation |
51 |
Linguistic Knowledge and Transferability of Contextual Representations |
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1112.pdf |
2019 |
NAA-CL |
# reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq |
3 |
Adversarial Training for Weakly Supervised Event Detection |
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li |
https://www.aclweb.org/anthology/N19-1105.pdf |
2019 |
NAA-CL |
# optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, pre-elmo, pre-bert, task-lm |
4 |
Structural Scaffolds for Citation Intent Classification in Scientific Publications |
Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady |
https://www.aclweb.org/anthology/N19-1361.pdf |
2019 |
NAA-CL |
# optim-adam, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-glove, struct-crf, task-seqlab, task-lm |
0 |
VCWE: Visual Character-Enhanced Word Embeddings |
Chi Sun, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/N19-1277.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, adv-examp, task-seq2seq |
5 |
Neural Machine Translation of Text from Non-Native Speakers |
Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, David Chiang |
https://www.aclweb.org/anthology/N19-1311.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, search-greedy, search-beam, struct-crf, struct-cfg, task-seqlab, task-relation |
1 |
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle |
Maximin Coavoux, Shay B. Cohen |
https://www.aclweb.org/anthology/N19-1018.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, comb-ensemble, adv-train, task-seqlab, task-seq2seq |
1 |
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging |
Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat |
https://www.aclweb.org/anthology/N19-1416.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-word2vec, pre-glove, pre-elmo, latent-vae, task-lm, task-seq2seq |
4 |
In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data |
Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood |
https://www.aclweb.org/anthology/N19-2026.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-energy, search-viterbi, pre-word2vec, pre-skipthought, struct-hmm, struct-crf, adv-train, task-textclass, task-seq2seq |
0 |
Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation |
Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq Joty |
https://www.aclweb.org/anthology/N19-1134.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, latent-vae, loss-nce, task-seq2seq |
0 |
Learning to Decipher Hate Symbols |
Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang |
https://www.aclweb.org/anthology/N19-1305.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-dropout, train-augment, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, task-seq2seq, task-tree |
1 |
Iterative Search for Weakly Supervised Semantic Parsing |
Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard Hovy |
https://www.aclweb.org/anthology/N19-1273.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-glove, task-textpair, task-lm, task-seq2seq |
1 |
Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation |
Wei-Jen Ko, Greg Durrett, Junyi Jessy Li |
https://www.aclweb.org/anthology/N19-1349.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-memo, task-textpair, task-relation, task-graph |
3 |
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM |
Diya Li, Lifu Huang, Heng Ji, Jiawei Han |
https://www.aclweb.org/anthology/N19-1145.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, comb-ensemble |
0 |
Improving Natural Language Interaction with Robots Using Advice |
Nikhil Mehta, Dan Goldwasser |
https://www.aclweb.org/anthology/N19-1195.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-glove, task-textclass |
0 |
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture |
Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama |
https://www.aclweb.org/anthology/N19-1318.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, struct-crf |
0 |
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling |
Yue Chen, John Chen |
https://www.aclweb.org/anthology/N19-2019.pdf |
2019 |
NAA-CL |
# train-mll, arch-lstm, arch-subword, pre-fasttext, pre-elmo, loss-svd, task-lm, task-seq2seq, task-relation, task-alignment |
8 |
Context-Aware Cross-Lingual Mapping |
Hanan Aldarmaki, Mona Diab |
https://www.aclweb.org/anthology/N19-1391.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
7 |
Polyglot Contextual Representations Improve Crosslingual Transfer |
Phoebe Mulcaire, Jungo Kasai, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1392.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, struct-crf, task-textpair, task-seq2seq, task-tree |
1 |
Open Information Extraction from Question-Answer Pairs |
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish |
https://www.aclweb.org/anthology/N19-1239.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-fasttext, loss-svd, task-condlm |
2 |
AudioCaps: Generating Captions for Audios in The Wild |
Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim |
https://www.aclweb.org/anthology/N19-1011.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-memo, pre-glove, loss-nce, task-spanlab, task-lm, task-seq2seq |
0 |
Harry Potter and the Action Prediction Challenge from Natural Language |
David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/N19-1218.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-gating, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, task-relation |
3 |
Learning to Denoise Distantly-Labeled Data for Entity Typing |
Yasumasa Onoe, Greg Durrett |
https://www.aclweb.org/anthology/N19-1250.pdf |
2019 |
NAA-CL |
# init-glorot, train-mll, train-parallel, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-elmo, task-relation |
2 |
Recursive Subtree Composition in LSTM-Based Dependency Parsing |
Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre |
https://www.aclweb.org/anthology/N19-1159.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, task-textpair |
0 |
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification |
Santosh Tokala, Vishal G, Avirup Saha, Niloy Ganguly |
https://www.aclweb.org/anthology/N19-1230.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, task-extractive, task-seq2seq, task-relation |
4 |
Single Document Summarization as Tree Induction |
Yang Liu, Ivan Titov, Mirella Lapata |
https://www.aclweb.org/anthology/N19-1173.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-stopping, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation |
0 |
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning |
Han Guo, Ramakanth Pasunuru, Mohit Bansal |
https://www.aclweb.org/anthology/N19-1355.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation |
6 |
Guiding Extractive Summarization with Question-Answering Rewards |
Kristjan Arumae, Fei Liu |
https://www.aclweb.org/anthology/N19-1264.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, arch-transformer, pre-word2vec, pre-elmo, pre-bert, pre-use, task-textpair, task-seq2seq, task-tree |
4 |
Evaluating Coherence in Dialogue Systems using Entailment |
Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaiane |
https://www.aclweb.org/anthology/N19-1381.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-projection, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq |
2 |
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition |
Angli Liu, Jingfei Du, Veselin Stoyanov |
https://www.aclweb.org/anthology/N19-1117.pdf |
2019 |
NAA-CL |
# optim-projection, reg-patience, train-mll, arch-lstm, arch-att, pre-fasttext, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment |
3 |
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs |
Geert Heyman, Bregt Verreet, Ivan Vulić, Marie-Francine Moens |
https://www.aclweb.org/anthology/N19-1188.pdf |
2019 |
NAA-CL |
# optim-projection, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, pre-elmo, struct-crf, adv-train, task-seqlab, task-relation |
10 |
A general framework for information extraction using dynamic span graphs |
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/N19-1308.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seqlab |
1 |
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features |
Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin |
https://www.aclweb.org/anthology/N19-2008.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-cnn, arch-att, pre-glove, struct-crf, task-seqlab |
2 |
Entity Recognition at First Sight: Improving NER with Eye Movement Information |
Nora Hollenstein, Ce Zhang |
https://www.aclweb.org/anthology/N19-1001.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, arch-coverage, loss-nce |
2 |
A Crowdsourced Frame Disambiguation Corpus with Ambiguity |
Anca Dumitrache, Lora Aroyo, Chris Welty |
https://www.aclweb.org/anthology/N19-1224.pdf |
2019 |
NAA-CL |
# reg-stopping, norm-gradient, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, nondif-reinforce, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network |
Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/N19-1091.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, task-lm, task-seq2seq |
1 |
Neural Text Normalization with Subword Units |
Courtney Mansfield, Ming Sun, Yuzong Liu, Ankur Gandhe, Björn Hoffmeister |
https://www.aclweb.org/anthology/N19-2024.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq |
0 |
Automatic learner summary assessment for reading comprehension |
Menglin Xia, Ekaterina Kochmar, Ted Briscoe |
https://www.aclweb.org/anthology/N19-1261.pdf |
2019 |
NAA-CL |
# reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, task-relation |
0 |
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN |
Van-Hien Tran, Van-Thuy Phi, Hiroyuki Shindo, Yuji Matsumoto |
https://www.aclweb.org/anthology/N19-1286.pdf |
2019 |
NAA-CL |
# reg-dropout, reg-stopping, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, search-viterbi, pre-word2vec, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq |
1 |
Benchmarking Approximate Inference Methods for Neural Structured Prediction |
Lifu Tu, Kevin Gimpel |
https://www.aclweb.org/anthology/N19-1335.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph |
8 |
Text Generation from Knowledge Graphs with Graph Transformers |
Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/N19-1238.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm, task-seq2seq |
0 |
Conversation Initiation by Diverse News Contents Introduction |
Satoshi Akasaki, Nobuhiro Kaji |
https://www.aclweb.org/anthology/N19-1400.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, arch-memo, task-spanlab, task-lm, task-tree |
0 |
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase |
Kelvin Jiang, Dekun Wu, Hui Jiang |
https://www.aclweb.org/anthology/N19-1028.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, task-lm, task-seq2seq, task-tree, task-graph |
3 |
Neural Text Generation from Rich Semantic Representations |
Valerie Hajdik, Jan Buys, Michael Wayne Goodman, Emily M. Bender |
https://www.aclweb.org/anthology/N19-1235.pdf |
2019 |
NAA-CL |
# optim-sgd, arch-rnn, arch-lstm, arch-cnn, arch-att, struct-hmm, struct-crf, latent-vae |
0 |
A Study of Latent Structured Prediction Approaches to Passage Reranking |
Iryna Haponchyk, Alessandro Moschitti |
https://www.aclweb.org/anthology/N19-1183.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, norm-gradient, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, struct-crf, adv-examp, adv-train, task-textclass, task-lm, task-condlm |
3 |
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems |
Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych |
https://www.aclweb.org/anthology/N19-1165.pdf |
2019 |
NAA-CL |
# optim-adagrad, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, search-beam, task-condlm, task-seq2seq |
2 |
Learning to Stop in Structured Prediction for Neural Machine Translation |
Mingbo Ma, Renjie Zheng, Liang Huang |
https://www.aclweb.org/anthology/N19-1187.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, search-viterbi, loss-svd, task-lm, task-seq2seq |
0 |
Enabling Real-time Neural IME with Incremental Vocabulary Selection |
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama |
https://www.aclweb.org/anthology/N19-2001.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-relation, task-tree |
0 |
Decomposed Local Models for Coordinate Structure Parsing |
Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto |
https://www.aclweb.org/anthology/N19-1343.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-bert, struct-crf, task-textclass, task-textpair, task-lm, task-seq2seq, task-alignment |
0 |
Alignment over Heterogeneous Embeddings for Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/N19-1274.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-stopping, train-mtl, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, search-viterbi, pre-glove, struct-crf, task-relation, task-tree, task-alignment |
2 |
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling |
Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1259.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, struct-crf |
0 |
Subword-Level Language Identification for Intra-Word Code-Switching |
Manuel Mager, Özlem Çetinoğlu, Katharina Kann |
https://www.aclweb.org/anthology/N19-1201.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-greedy, nondif-gumbelsoftmax, adv-train, task-lm, task-condlm, task-seq2seq |
2 |
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation |
Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do Omri, Ahmad Rashid |
https://www.aclweb.org/anthology/N19-1234.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adagrad, arch-lstm, arch-att, arch-coverage, search-beam, task-extractive, task-seq2seq, task-tree |
4 |
Question Answering as an Automatic Evaluation Metric for News Article Summarization |
Matan Eyal, Tal Baumel, Michael Elhadad |
https://www.aclweb.org/anthology/N19-1395.pdf |
2019 |
NAA-CL |
# pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, pre-glove, task-textclass |
1 |
Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation |
Radu Tudor Ionescu, Andrei Butnaru |
https://www.aclweb.org/anthology/N19-1033.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-att, adv-examp, task-lm, task-seq2seq, task-relation |
0 |
Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples |
Krtin Kumar, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/N19-1396.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, search-beam, latent-topic, task-seq2seq |
2 |
Microblog Hashtag Generation via Encoding Conversation Contexts |
Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi |
https://www.aclweb.org/anthology/N19-1164.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adadelta, optim-projection, norm-gradient, train-mtl, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, search-beam, task-lm, task-seq2seq |
2 |
Acoustic-to-Word Models with Conversational Context Information |
Suyoun Kim, Florian Metze |
https://www.aclweb.org/anthology/N19-1283.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-glove, pre-elmo, pre-use, task-textclass, task-relation, task-tree |
0 |
Outlier Detection for Improved Data Quality and Diversity in Dialog Systems |
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars |
https://www.aclweb.org/anthology/N19-1051.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, arch-lstm, arch-gru, search-beam, task-lm, task-seq2seq |
8 |
Jointly Optimizing Diversity and Relevance in Neural Response Generation |
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan |
https://www.aclweb.org/anthology/N19-1125.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq |
0 |
Serial Recall Effects in Neural Language Modeling |
Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar, Farhad Oroumchian |
https://www.aclweb.org/anthology/N19-1073.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, task-textpair, task-seqlab, task-tree |
2 |
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing |
Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
https://www.aclweb.org/anthology/N19-1084.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation |
43 |
A Structural Probe for Finding Syntax in Word Representations |
John Hewitt, Christopher D. Manning |
https://www.aclweb.org/anthology/N19-1419.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-transformer, comb-ensemble, pre-word2vec, latent-vae, task-lm |
0 |
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models |
Yiben Yang, Ji-Ping Wang, Doug Downey |
https://www.aclweb.org/anthology/N19-1330.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, task-textclass, task-lm |
3 |
Understanding language-elicited EEG data by predicting it from a fine-tuned language model |
Dan Schwartz, Tom Mitchell |
https://www.aclweb.org/anthology/N19-1005.pdf |
2019 |
NAA-CL |
# optim-projection, train-mll, arch-lstm, arch-coverage, task-relation, task-tree, task-graph, task-alignment |
0 |
Cross-lingual CCG Induction |
Kilian Evang |
https://www.aclweb.org/anthology/N19-1160.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation |
7 |
Better, Faster, Stronger Sequence Tagging Constituent Parsers |
David Vilares, Mostafa Abdou, Anders Søgaard |
https://www.aclweb.org/anthology/N19-1341.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, pre-glove, task-spanlab, task-lm, task-seq2seq |
0 |
The Lower The Simpler: Simplifying Hierarchical Recurrent Models |
Chao Wang, Hui Jiang |
https://www.aclweb.org/anthology/N19-1402.pdf |
2019 |
NAA-CL |
# optim-adagrad, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq |
3 |
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation |
Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Mathias Lambert |
https://www.aclweb.org/anthology/N19-2013.pdf |
2019 |
NAA-CL |
# train-mll, arch-rnn, arch-lstm, arch-att, arch-transformer, struct-hmm, task-lm, task-seq2seq |
0 |
Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language |
Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam |
https://www.aclweb.org/anthology/N19-1322.pdf |
2019 |
NAA-CL |
# optim-sgd, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, search-viterbi, pre-glove, latent-vae, task-lm, task-seq2seq, task-relation |
1 |
Benchmarking Hierarchical Script Knowledge |
Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi |
https://www.aclweb.org/anthology/N19-1412.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-bert, struct-crf |
0 |
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog |
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy |
https://www.aclweb.org/anthology/N19-1055.pdf |
2019 |
NAA-CL |
# init-glorot, arch-rnn, arch-lstm, comb-ensemble, latent-vae, task-textclass, task-lm |
12 |
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing |
Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin |
https://www.aclweb.org/anthology/N19-1021.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, task-lm |
0 |
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems |
Ashwini Challa, Kartikeya Upasani, Anusha Balakrishnan, Rajen Subba |
https://www.aclweb.org/anthology/N19-2027.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, task-lm, task-relation |
6 |
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages |
Shauli Ravfogel, Yoav Goldberg, Tal Linzen |
https://www.aclweb.org/anthology/N19-1356.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, norm-layer, train-augment, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-word2vec, task-seq2seq, task-tree, task-graph |
2 |
Factorising AMR generation through syntax |
Kris Cao, Stephen Clark |
https://www.aclweb.org/anthology/N19-1223.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove |
3 |
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis |
Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/N19-1034.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, arch-lstm, arch-att, arch-memo, adv-train, task-textclass, task-seqlab, task-spanlab, task-seq2seq |
0 |
Document-Level Event Factuality Identification via Adversarial Neural Network |
Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
https://www.aclweb.org/anthology/N19-1287.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, search-beam, task-seq2seq, task-relation |
4 |
Left-to-Right Dependency Parsing with Pointer Networks |
Daniel Fernández-González, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/N19-1076.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq |
4 |
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension |
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao |
https://www.aclweb.org/anthology/N19-1271.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment |
9 |
PAWS: Paraphrase Adversaries from Word Scrambling |
Yuan Zhang, Jason Baldridge, Luheng He |
https://www.aclweb.org/anthology/N19-1131.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-seq2seq |
3 |
Incorporating Context and External Knowledge for Pronoun Coreference Resolution |
Hongming Zhang, Yan Song, Yangqiu Song |
https://www.aclweb.org/anthology/N19-1093.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-coverage, arch-energy, struct-crf, task-seq2seq |
1 |
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation |
Nikolai Vogler, Craig Stewart, Graham Neubig |
https://www.aclweb.org/anthology/N19-1010.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq |
2 |
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities |
Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov |
https://www.aclweb.org/anthology/N19-1154.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation, task-lexicon |
12 |
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing |
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson |
https://www.aclweb.org/anthology/N19-1162.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, arch-lstm, arch-att, comb-ensemble, struct-hmm, task-textclass |
2 |
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations |
Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun |
https://www.aclweb.org/anthology/N19-1296.pdf |
2019 |
NAA-CL |
# arch-lstm, arch-cnn, pre-word2vec, latent-topic, task-textclass |
4 |
Augmenting word2vec with latent Dirichlet allocation within a clinical application |
Akshay Budhkar, Frank Rudzicz |
https://www.aclweb.org/anthology/N19-1414.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, train-mll, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, pre-word2vec, task-seq2seq, task-relation, task-alignment |
2 |
Low-Resource Syntactic Transfer with Unsupervised Source Reordering |
Mohammad Sadegh Rasooli, Michael Collins |
https://www.aclweb.org/anthology/N19-1385.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-elmo, task-spanlab, task-seq2seq |
7 |
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering |
Yu Cao, Meng Fang, Dacheng Tao |
https://www.aclweb.org/anthology/N19-1032.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, norm-gradient, train-mll, train-augment, arch-rnn, arch-lstm, arch-att, arch-energy, task-condlm, task-seq2seq, task-relation |
7 |
A Simple Joint Model for Improved Contextual Neural Lemmatization |
Chaitanya Malaviya, Shijie Wu, Ryan Cotterell |
https://www.aclweb.org/anthology/N19-1155.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, search-beam, task-lm |
9 |
Neural language models as psycholinguistic subjects: Representations of syntactic state |
Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy |
https://www.aclweb.org/anthology/N19-1004.pdf |
2019 |
NAA-CL |
# train-mll, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-word2vec, pre-glove, pre-paravec, pre-skipthought, pre-elmo, task-seq2seq |
0 |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification |
Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova |
https://www.aclweb.org/anthology/N19-1059.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-glove, struct-crf, latent-vae, task-textclass, task-lm, task-seq2seq |
2 |
Strong and Simple Baselines for Multimodal Utterance Embeddings |
Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency |
https://www.aclweb.org/anthology/N19-1267.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, train-mtl, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm |
6 |
Massively Multilingual Adversarial Speech Recognition |
Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky |
https://www.aclweb.org/anthology/N19-1009.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, pre-word2vec, struct-hmm, struct-crf, task-seqlab, task-lm |
0 |
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings |
Yuxiao Ye, Weikang Li, Yue Zhang, Likun Qiu, Jian Sun |
https://www.aclweb.org/anthology/N19-1279.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, train-transfer, pool-max, pool-mean, arch-lstm, arch-att, arch-memo, arch-bilinear, pre-word2vec, pre-glove, task-textclass, task-seqlab |
1 |
Description-Based Zero-shot Fine-Grained Entity Typing |
Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli |
https://www.aclweb.org/anthology/N19-1087.pdf |
2019 |
NAA-CL |
# optim-adam, reg-decay, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, comb-ensemble, pre-glove |
0 |
On Knowledge distillation from complex networks for response prediction |
Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy |
https://www.aclweb.org/anthology/N19-1382.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, pre-glove, pre-bert, task-spanlab, task-seq2seq |
3 |
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring |
Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen |
https://www.aclweb.org/anthology/N19-2004.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq |
10 |
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets |
Nelson F. Liu, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1225.pdf |
2019 |
NAA-CL |
# reg-dropout, norm-gradient, train-mtl, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, comb-ensemble, task-seq2seq, task-relation |
0 |
Multi-Task Learning for Japanese Predicate Argument Structure Analysis |
Hikaru Omori, Mamoru Komachi |
https://www.aclweb.org/anthology/N19-1344.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, activ-tanh, arch-rnn, arch-lstm, arch-att, arch-memo, pre-glove, task-seq2seq |
3 |
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding |
Jonggu Kim, Jong-Hyeok Lee |
https://www.aclweb.org/anthology/N19-1372.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-att, task-seqlab, task-lm |
1 |
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering |
Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren |
https://www.aclweb.org/anthology/N19-1294.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, struct-crf, task-seqlab |
1 |
Neural Lexicons for Slot Tagging in Spoken Language Understanding |
Kyle Williams |
https://www.aclweb.org/anthology/N19-2011.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, reg-norm, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, comb-ensemble, pre-glove, struct-crf, latent-topic, task-extractive |
0 |
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction |
Animesh Prasad, Min-Yen Kan |
https://www.aclweb.org/anthology/N19-1182.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-active, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear |
0 |
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision |
Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu |
https://www.aclweb.org/anthology/N19-1107.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-att, arch-energy, search-beam, struct-crf, struct-cfg, loss-nce, task-condlm, task-seq2seq, task-relation |
0 |
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search |
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/N19-1171.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-rnn, arch-lstm, pre-word2vec, latent-vae, task-lm |
1 |
Unsupervised Dialog Structure Learning |
Weiyan Shi, Tiancheng Zhao, Zhou Yu |
https://www.aclweb.org/anthology/N19-1178.pdf |
2019 |
NAA-CL |
# optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, task-textclass |
0 |
Event Detection without Triggers |
Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou |
https://www.aclweb.org/anthology/N19-1080.pdf |
2019 |
NAA-CL |
# optim-adam, norm-batch, arch-lstm, arch-att, arch-bilinear, adv-feat, adv-train, task-condlm, task-seq2seq |
0 |
The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding |
Yiqun Yao, Jiaming Xu, Bo Xu |
https://www.aclweb.org/anthology/N19-1266.pdf |
2019 |
NAA-CL |
# optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-fasttext, task-textpair, task-lm |
5 |
CNM: An Interpretable Complex-valued Network for Matching |
Qiuchi Li, Benyou Wang, Massimo Melucci |
https://www.aclweb.org/anthology/N19-1420.pdf |
2019 |
NAA-CL |
# reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-recnn, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq |
3 |
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages |
Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/N19-1387.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, search-beam |
9 |
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog |
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach |
https://www.aclweb.org/anthology/N19-1058.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-decay, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze |
3209 |
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
https://www.aclweb.org/anthology/N19-1423.pdf |
2019 |
NAA-CL |
# init-glorot, train-mtl, arch-rnn, arch-lstm, arch-att, comb-ensemble, task-lm, task-seq2seq |
2 |
A Large-Scale Comparison of Historical Text Normalization Systems |
Marcel Bollmann |
https://www.aclweb.org/anthology/N19-1389.pdf |
2019 |
NAA-CL |
# reg-dropout, pool-max, arch-lstm, arch-cnn, arch-att, latent-topic, task-textclass |
3 |
Sub-event detection from twitter streams as a sequence labeling problem |
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder |
https://www.aclweb.org/anthology/N19-1081.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, norm-layer, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, search-greedy, search-beam, struct-cfg, nondif-gumbelsoftmax, task-lm, task-seq2seq |
5 |
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation |
Xing Niu, Weijia Xu, Marine Carpuat |
https://www.aclweb.org/anthology/N19-1043.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-elmo |
2 |
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs |
Debjit Paul, Anette Frank |
https://www.aclweb.org/anthology/N19-1368.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-worddropout, norm-layer, arch-rnn, arch-lstm, arch-att, pre-glove, nondif-reinforce, latent-vae, task-lm, task-condlm, task-seq2seq, task-tree |
4 |
SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression |
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos |
https://www.aclweb.org/anthology/N19-1071.pdf |