| 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, 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, 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, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, search-beam, pre-bert, latent-vae, task-condlm, task-seq2seq |
1 |
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems |
Hung Le, Doyen Sahoo, Nancy Chen, Steven Hoi |
https://www.aclweb.org/anthology/P19-1564.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 |
# 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 |
# 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 |
# reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, adv-examp, task-textclass, task-lm, task-seq2seq |
6 |
Robust Neural Machine Translation with Doubly Adversarial Inputs |
Yong Cheng, Lu Jiang, Wolfgang Macherey |
https://www.aclweb.org/anthology/P19-1425.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, 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-adam, reg-dropout, adv-train, latent-vae, latent-topic |
0 |
Topic Modeling with Wasserstein Autoencoders |
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang |
https://www.aclweb.org/anthology/P19-1640.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-adam, reg-dropout, train-mll, pre-bert, task-seqlab, task-lm, task-relation |
18 |
How Multilingual is Multilingual BERT? |
Telmo Pires, Eva Schlinger, Dan Garrette |
https://www.aclweb.org/anthology/P19-1493.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-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, nondif-minrisk, task-seq2seq |
8 |
Bridging the Gap between Training and Inference for Neural Machine Translation |
Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu |
https://www.aclweb.org/anthology/P19-1426.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, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-spanlab, task-lm, task-seq2seq |
4 |
Cross-Lingual Training for Automatic Question Generation |
Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi |
https://www.aclweb.org/anthology/P19-1481.pdf |
| 2019 |
ACL |
# optim-adam, reg-dropout, train-active, arch-rnn, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, task-seq2seq |
2 |
Collaborative Dialogue in Minecraft |
Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier |
https://www.aclweb.org/anthology/P19-1537.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, 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, 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, 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-adam, optim-projection, reg-dropout, reg-stopping, train-parallel, arch-rnn, arch-gru, arch-memo, pre-glove, pre-bert, latent-vae, task-lm |
3 |
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution |
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein |
https://www.aclweb.org/anthology/P19-1593.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 |
# 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, 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 |
# 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, 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, 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, train-augment, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq |
2 |
Soft Contextual Data Augmentation for Neural Machine Translation |
Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu |
https://www.aclweb.org/anthology/P19-1555.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, optim-projection, reg-dropout, train-mll, arch-coverage, arch-subword, pre-glove, loss-svd, loss-margin, task-textpair |
1 |
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment |
Goran Glavaš, Ivan Vulić |
https://www.aclweb.org/anthology/P19-1476.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, norm-layer, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation |
1 |
Neural Machine Translation with Reordering Embeddings |
Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita |
https://www.aclweb.org/anthology/P19-1174.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, reg-dropout, reg-stopping, train-transfer, arch-gru, arch-gcnn, arch-cnn, arch-att, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Hierarchical Transfer Learning for Multi-label Text Classification |
Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, Kostas Tsioutsiouliklis |
https://www.aclweb.org/anthology/P19-1633.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 |
# 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 |
# 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, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment |
3 |
On the Word Alignment from Neural Machine Translation |
Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi |
https://www.aclweb.org/anthology/P19-1124.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-adagrad, reg-dropout, train-mll, pool-mean, arch-gnn, arch-att, arch-selfatt, arch-subword, loss-triplet |
7 |
Multi-Channel Graph Neural Network for Entity Alignment |
Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua |
https://www.aclweb.org/anthology/P19-1140.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, 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-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-att, arch-subword, task-lm, task-seq2seq |
1 |
Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation |
Wei Wang, Isaac Caswell, Ciprian Chelba |
https://www.aclweb.org/anthology/P19-1123.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-projection, reg-dropout, train-mll, arch-rnn, arch-att, comb-ensemble, struct-hmm, task-seq2seq, task-relation, task-tree |
0 |
Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages |
Garrett Nicolai, David Yarowsky |
https://www.aclweb.org/anthology/P19-1172.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 |
# 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 |
# 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, 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-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, 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, reg-dropout, activ-relu, pool-max, pool-mean, arch-cnn, pre-glove, task-textclass, task-lm, task-seq2seq |
4 |
MOROCO: The Moldavian and Romanian Dialectal Corpus |
Andrei Butnaru, Radu Tudor Ionescu |
https://www.aclweb.org/anthology/P19-1068.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, 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 |
# 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 |
# 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 |
# 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, 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 |
# 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 |
# optim-adam, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree |
1 |
Complex Question Decomposition for Semantic Parsing |
Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang |
https://www.aclweb.org/anthology/P19-1440.pdf |
| 2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq |
2 |
Improving Abstractive Document Summarization with Salient Information Modeling |
Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang |
https://www.aclweb.org/anthology/P19-1205.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 |
# 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 |
# reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq |
1 |
Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks |
Ahmad Aghaebrahimian, Mark Cieliebak |
https://www.aclweb.org/anthology/P19-1557.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, 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 |
# reg-dropout, arch-att, arch-subword, search-beam, task-seq2seq |
2 |
Training Neural Machine Translation to Apply Terminology Constraints |
Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan |
https://www.aclweb.org/anthology/P19-1294.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-adam, reg-dropout, reg-decay, norm-layer, train-augment, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, search-greedy, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, task-tree, task-graph |
2 |
Generating Logical Forms from Graph Representations of Text and Entities |
Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun |
https://www.aclweb.org/anthology/P19-1010.pdf |
| 2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, train-augment, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
7 |
Learning Deep Transformer Models for Machine Translation |
Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao |
https://www.aclweb.org/anthology/P19-1176.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, 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 |
# 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-adagrad, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-lm, task-condlm, task-seq2seq |
1 |
Informative Image Captioning with External Sources of Information |
Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut |
https://www.aclweb.org/anthology/P19-1650.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, 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-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 |
# 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-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 |
# optim-adam, reg-dropout, train-active, arch-att, arch-memo, arch-transformer, pre-word2vec, pre-fasttext, latent-vae, loss-nce, task-seq2seq |
1 |
Improving Neural Conversational Models with Entropy-Based Data Filtering |
Richárd Csáky, Patrik Purgai, Gábor Recski |
https://www.aclweb.org/anthology/P19-1567.pdf |
| 2019 |
ACL |
# init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq |
5 |
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations |
Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O.K. Li |
https://www.aclweb.org/anthology/P19-1121.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-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, arch-gru, arch-att, arch-memo, arch-copy, search-greedy, loss-nce, task-seq2seq |
0 |
A Working Memory Model for Task-oriented Dialog Response Generation |
Xiuyi Chen, Jiaming Xu, Bo Xu |
https://www.aclweb.org/anthology/P19-1258.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, 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, 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, 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, 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 |
# optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, latent-topic, task-seq2seq |
2 |
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information |
Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun |
https://www.aclweb.org/anthology/P19-1257.pdf |
| 2019 |
ACL |
# reg-dropout, train-transfer, arch-att, arch-selfatt, arch-transformer, pre-bert, task-lm |
0 |
BERT-based Lexical Substitution |
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou |
https://www.aclweb.org/anthology/P19-1328.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, reg-dropout, pool-max, arch-att, pre-word2vec, pre-glove |
2 |
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection |
Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cecile Paris |
https://www.aclweb.org/anthology/P19-1108.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 |
# 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 |
# 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 |
# reg-dropout, reg-worddropout, reg-labelsmooth, arch-att, arch-residual, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq |
0 |
Cross-Sentence Grammatical Error Correction |
Shamil Chollampatt, Weiqi Wang, Hwee Tou Ng |
https://www.aclweb.org/anthology/P19-1042.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, 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-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-adam, init-glorot, reg-dropout, reg-worddropout, reg-stopping, train-mtl, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm, task-condlm |
1 |
Neural Legal Judgment Prediction in English |
Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras |
https://www.aclweb.org/anthology/P19-1424.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, 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 |
# 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-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-amsgrad, init-glorot, reg-dropout, reg-labelsmooth, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, arch-bilinear, search-beam, task-lm, task-condlm, task-seq2seq |
0 |
Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System |
Hardik Chauhan, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1540.pdf |
| 2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-vae, task-seq2seq |
3 |
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation |
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou |
https://www.aclweb.org/anthology/P19-1288.pdf |
| 2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, pool-max, arch-rnn, arch-cnn, arch-coverage, search-beam, pre-glove, pre-skipthought, task-textpair, task-lm |
0 |
A Cross-Domain Transferable Neural Coherence Model |
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/P19-1067.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-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-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, pre-fasttext, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Fine-Grained Spoiler Detection from Large-Scale Review Corpora |
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley |
https://www.aclweb.org/anthology/P19-1248.pdf |
| 2019 |
ACL |
# optim-adam, reg-dropout, pool-max, comb-ensemble, adv-train, task-textclass, meta-arch |
1 |
Incorporating Priors with Feature Attribution on Text Classification |
Frederick Liu, Besim Avci |
https://www.aclweb.org/anthology/P19-1631.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, optim-projection, reg-dropout, arch-att, arch-memo, arch-bilinear |
1 |
A2N: Attending to Neighbors for Knowledge Graph Inference |
Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum |
https://www.aclweb.org/anthology/P19-1431.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 |
# 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, 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, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree |
2 |
Unsupervised Question Answering by Cloze Translation |
Patrick Lewis, Ludovic Denoyer, Sebastian Riedel |
https://www.aclweb.org/anthology/P19-1484.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 |
# init-glorot, reg-dropout, train-transfer, arch-att, pre-elmo, loss-cca, task-seq2seq |
2 |
Fine-Grained Temporal Relation Extraction |
Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White |
https://www.aclweb.org/anthology/P19-1280.pdf |
| 2019 |
ACL |
# reg-dropout, reg-patience, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm |
1 |
Large-Scale Multi-Label Text Classification on EU Legislation |
Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos |
https://www.aclweb.org/anthology/P19-1636.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, 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, 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, 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, reg-dropout, reg-decay, reg-labelsmooth, train-mll, train-transfer, arch-att, arch-selfatt, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze |
1 |
A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning |
Gonçalo M. Correia, André F. T. Martins |
https://www.aclweb.org/anthology/P19-1292.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-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon |
5 |
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies |
Yunsu Kim, Yingbo Gao, Hermann Ney |
https://www.aclweb.org/anthology/P19-1120.pdf |
| 2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-cnn, arch-att, arch-bilinear |
4 |
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs |
Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul |
https://www.aclweb.org/anthology/P19-1466.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 |
# 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 |
# 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 |
# 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-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-att, arch-selfatt, arch-transformer, pre-fasttext, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq |
6 |
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation |
Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1601.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 |
# 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, 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, 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-dropout, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-topic, task-condlm, task-seq2seq |
2 |
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards |
Hou Pong Chan, Wang Chen, Lu Wang, Irwin King |
https://www.aclweb.org/anthology/P19-1208.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 |
# 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 |
# 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 |
# optim-sgd, optim-adam, reg-dropout, pool-max, arch-rnn, arch-att, arch-transformer, pre-word2vec, task-context |
0 |
DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions |
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1106.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 |
# init-glorot, reg-dropout, arch-att, task-tree |
0 |
Duality of Link Prediction and Entailment Graph Induction |
Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson, Mark Steedman |
https://www.aclweb.org/anthology/P19-1468.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 |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, reg-patience, reg-labelsmooth, norm-layer, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-lm, task-seq2seq, task-alignment |
5 |
Revisiting Low-Resource Neural Machine Translation: A Case Study |
Rico Sennrich, Biao Zhang |
https://www.aclweb.org/anthology/P19-1021.pdf |
| 2019 |
ACL |
# reg-dropout, reg-stopping, arch-att, pre-word2vec, pre-glove, latent-vae, task-seqlab |
1 |
Boosting Entity Linking Performance by Leveraging Unlabeled Documents |
Phong Le, Ivan Titov |
https://www.aclweb.org/anthology/P19-1187.pdf |
| 2019 |
ACL |
# optim-adam, optim-projection, init-glorot, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-cnn, arch-att, comb-ensemble, adv-train, latent-vae, latent-topic, task-textclass, task-seq2seq |
0 |
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference |
Yitong Li, Timothy Baldwin, Trevor Cohn |
https://www.aclweb.org/anthology/P19-1186.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, 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, reg-dropout, activ-relu, pool-max, arch-rnn, arch-gru, arch-bigru, task-lm, task-seq2seq |
1 |
Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments |
Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen |
https://www.aclweb.org/anthology/P19-1635.pdf |
| 2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-norm, reg-labelsmooth, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-seqlab, task-seq2seq, task-relation |
3 |
Leveraging Local and Global Patterns for Self-Attention Networks |
Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao |
https://www.aclweb.org/anthology/P19-1295.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 |
# 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, 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, 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 |
# 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-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-adam, optim-adadelta, reg-dropout, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-beam, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-seq2seq |
4 |
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering |
Yair Feldman, Ran El-Yaniv |
https://www.aclweb.org/anthology/P19-1222.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, optim-projection, reg-dropout, reg-labelsmooth, arch-rnn, arch-att, arch-residual, arch-subword, arch-transformer, task-lm, task-seq2seq |
2 |
Shared-Private Bilingual Word Embeddings for Neural Machine Translation |
Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu |
https://www.aclweb.org/anthology/P19-1352.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 |
# 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 |
# 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-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, 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 |
# 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 |
# reg-dropout, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-alignment |
0 |
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach |
Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun |
https://www.aclweb.org/anthology/P19-1623.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, 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 |
# 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-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, 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-projection, reg-dropout, arch-transformer, pre-word2vec, pre-glove, pre-bert, adv-feat, task-seq2seq |
1 |
Gender-preserving Debiasing for Pre-trained Word Embeddings |
Masahiro Kaneko, Danushka Bollegala |
https://www.aclweb.org/anthology/P19-1160.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-adagrad, reg-dropout, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq |
11 |
Adaptive Attention Span in Transformers |
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin |
https://www.aclweb.org/anthology/P19-1032.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 |
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-sgd, optim-projection, reg-dropout, reg-stopping, norm-layer, train-mll, train-transfer, train-parallel, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq |
1 |
Simple, Scalable Adaptation for Neural Machine Translation |
Ankur Bapna, Orhan Firat |
https://www.aclweb.org/anthology/D19-1165.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-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 |
# 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 |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-gru, arch-gnn, arch-cnn, arch-att, arch-coverage, task-seq2seq |
0 |
Learning to Update Knowledge Graphs by Reading News |
Jizhi Tang, Yansong Feng, Dongyan Zhao |
https://www.aclweb.org/anthology/D19-1265.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 |
# optim-adam, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment |
0 |
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation |
Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma |
https://www.aclweb.org/anthology/D19-1071.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, reg-dropout, reg-stopping, reg-decay, reg-labelsmooth, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-lm, task-seq2seq, task-alignment |
0 |
Jointly Learning to Align and Translate with Transformer Models |
Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik |
https://www.aclweb.org/anthology/D19-1453.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 |
# 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 |
# init-glorot, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
2 |
Denoising based Sequence-to-Sequence Pre-training for Text Generation |
Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu |
https://www.aclweb.org/anthology/D19-1412.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-adam, reg-dropout, arch-cnn, pre-glove, struct-crf, latent-vae, task-lm |
0 |
Learning with Noisy Labels for Sentence-level Sentiment Classification |
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li |
https://www.aclweb.org/anthology/D19-1655.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-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 |
# 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-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 |
# 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-sgd, optim-adam, reg-dropout, train-augment, arch-subword, arch-transformer, task-seq2seq |
0 |
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization |
Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao |
https://www.aclweb.org/anthology/D19-1570.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, 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 |
# 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-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 |
# 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, 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 |
# 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 |
# 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 |
# 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-adadelta, reg-dropout, reg-stopping, train-mtl, train-mll, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-lm, task-seq2seq |
0 |
One Model to Learn Both: Zero Pronoun Prediction and Translation |
Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi |
https://www.aclweb.org/anthology/D19-1085.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 |
# 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 |
# 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 |
# 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-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-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-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-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 |
# 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 |
# 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 |
# 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 |
# 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, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-coverage, task-lm |
0 |
Neural News Recommendation with Heterogeneous User Behavior |
Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/D19-1493.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, reg-dropout, arch-rnn, search-beam, nondif-reinforce, task-lm, task-condlm |
1 |
Improving Generative Visual Dialog by Answering Diverse Questions |
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das |
https://www.aclweb.org/anthology/D19-1152.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 |
# optim-adam, optim-projection, reg-dropout, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, latent-vae, task-tree |
0 |
Answering Conversational Questions on Structured Data without Logical Forms |
Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun |
https://www.aclweb.org/anthology/D19-1603.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 |
# optim-adam, reg-dropout, reg-patience, arch-rnn, arch-att, arch-selfatt, pre-bert, task-spanlab, task-lm |
2 |
Answering Complex Open-domain Questions Through Iterative Query Generation |
Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning |
https://www.aclweb.org/anthology/D19-1261.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 |
# optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment |
0 |
Contrastive Attention Mechanism for Abstractive Sentence Summarization |
Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang |
https://www.aclweb.org/anthology/D19-1301.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, reg-dropout, train-mll, train-transfer, arch-cnn, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq, task-relation |
0 |
Cross-lingual intent classification in a low resource industrial setting |
Talaat Khalil, Kornel Kiełczewski, Georgios Christos Chouliaras, Amina Keldibek, Maarten Versteegh |
https://www.aclweb.org/anthology/D19-1676.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, 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 |
# 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 |
# 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, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-cnn, arch-att, arch-selfatt, task-textpair, task-condlm |
0 |
DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization |
Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li, Jun Xiao |
https://www.aclweb.org/anthology/D19-1518.pdf |
| 2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-stopping, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-seqlab |
0 |
Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks |
Hailong Jin, Lei Hou, Juanzi Li, Tiansi Dong |
https://www.aclweb.org/anthology/D19-1502.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-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 |
# 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 |
# 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 |
# 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, 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, 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 |
# 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, 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 |
# reg-dropout, train-mll, arch-subword, task-seq2seq |
0 |
The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval |
Constantine Lignos, Daniel Cohen, Yen-Chieh Lien, Pratik Mehta, W. Bruce Croft, Scott Miller |
https://www.aclweb.org/anthology/D19-1353.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 |
# reg-dropout, train-mll, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-lm, task-seq2seq |
0 |
Investigating the Effectiveness of BPE: The Power of Shorter Sequences |
Matthias Gallé |
https://www.aclweb.org/anthology/D19-1141.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 |
# 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, reg-dropout, train-mtl, arch-gru, arch-att, arch-copy, pre-glove, task-seq2seq |
0 |
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue |
Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu |
https://www.aclweb.org/anthology/D19-1462.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-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, 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, reg-dropout, reg-labelsmooth, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-seq2seq, task-tree |
0 |
Improving Back-Translation with Uncertainty-based Confidence Estimation |
Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun |
https://www.aclweb.org/anthology/D19-1073.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 |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-textclass, task-seq2seq |
0 |
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation |
Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou |
https://www.aclweb.org/anthology/D19-1164.pdf |
| 2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-norm, task-textclass |
0 |
Auditing Deep Learning processes through Kernel-based Explanatory Models |
Danilo Croce, Daniele Rossini, Roberto Basili |
https://www.aclweb.org/anthology/D19-1415.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, 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, 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-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, reg-dropout, reg-decay, arch-att, pre-elmo, loss-svd |
1 |
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation |
Ying Lin, Heng Ji |
https://www.aclweb.org/anthology/D19-1641.pdf |
| 2019 |
EMNLP |
# reg-dropout, train-transfer, train-parallel, arch-att, arch-transformer, task-seq2seq |
1 |
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation |
Raj Dabre, Atsushi Fujita, Chenhui Chu |
https://www.aclweb.org/anthology/D19-1146.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 |
# reg-dropout, pool-max, pre-word2vec, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair |
1 |
Efficient Sentence Embedding using Discrete Cosine Transform |
Nada Almarwani, Hanan Aldarmaki, Mona Diab |
https://www.aclweb.org/anthology/D19-1380.pdf |
| 2019 |
EMNLP |
# optim-sgd, optim-adadelta, reg-dropout, pool-max, arch-cnn, arch-att, arch-memo, adv-train, latent-vae |
0 |
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework |
Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu |
https://www.aclweb.org/anthology/D19-1031.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-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 |
# optim-sgd, optim-adam, optim-adagrad, optim-projection, reg-dropout, train-mll, arch-rnn, arch-cnn, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-lexicon |
0 |
Cross-lingual Semantic Specialization via Lexical Relation Induction |
Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen |
https://www.aclweb.org/anthology/D19-1226.pdf |
| 2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-coverage, search-beam, task-extractive, task-condlm, task-seq2seq |
0 |
Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes |
Litton J Kurisinkel, Nancy Chen |
https://www.aclweb.org/anthology/D19-1638.pdf |
| 2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, pre-bert, task-textclass, task-seq2seq |
0 |
HMEAE: Hierarchical Modular Event Argument Extraction |
Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren |
https://www.aclweb.org/anthology/D19-1584.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-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-sgd, reg-dropout, pool-max, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, task-textclass |
0 |
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding |
Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang |
https://www.aclweb.org/anthology/D19-1395.pdf |
| 2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, train-augment, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-bert, pre-use, task-textpair, task-lm, task-seq2seq, task-relation |
0 |
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange |
Steven Y. Feng, Aaron W. Li, Jesse Hoey |
https://www.aclweb.org/anthology/D19-1272.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 |
# 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 |
# 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, 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, 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 |
# 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, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, comb-ensemble, search-viterbi, pre-fasttext, pre-glove, struct-crf, task-seqlab, task-lm, task-seq2seq, task-lexicon |
0 |
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition |
Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung |
https://www.aclweb.org/anthology/D19-1360.pdf |
| 2019 |
EMNLP |
# optim-adadelta, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-glove, struct-crf, task-textclass, task-seq2seq |
0 |
Predicting Discourse Structure using Distant Supervision from Sentiment |
Patrick Huber, Giuseppe Carenini |
https://www.aclweb.org/anthology/D19-1235.pdf |
| 2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze |
0 |
Transfer Fine-Tuning: A BERT Case Study |
Yuki Arase, Jun’ichi Tsujii |
https://www.aclweb.org/anthology/D19-1542.pdf |
| 2019 |
EMNLP |
# optim-adam, reg-dropout, arch-gnn, arch-cnn, arch-att, latent-topic, loss-svd |
0 |
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network |
Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/D19-1494.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 |
# 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, 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-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 |
# reg-dropout, train-mtl, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq |
0 |
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification |
Oren Melamud, Mihaela Bornea, Ken Barker |
https://www.aclweb.org/anthology/D19-1401.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, reg-dropout, train-mtl, arch-rnn, arch-gru, comb-ensemble |
0 |
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection |
Harshit Kumar, Arvind Agarwal, Sachindra Joshi |
https://www.aclweb.org/anthology/D19-1205.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, 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 |
# 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 |
# 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-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, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-condlm, task-seq2seq |
0 |
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents |
Jack Hessel, Lillian Lee, David Mimno |
https://www.aclweb.org/anthology/D19-1210.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 |
# reg-dropout, pool-max, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-word2vec, adv-train, task-textclass, task-textpair |
0 |
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction |
Yuyun Huang, Jinhua Du |
https://www.aclweb.org/anthology/D19-1037.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, reg-dropout, arch-rnn, arch-birnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq |
1 |
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation |
Xin Tan, Longyin Zhang, Deyi Xiong, Guodong Zhou |
https://www.aclweb.org/anthology/D19-1168.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, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-seq2seq |
0 |
Open Domain Web Keyphrase Extraction Beyond Language Modeling |
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk |
https://www.aclweb.org/anthology/D19-1521.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, 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-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, 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-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 |
# 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 |
# optim-adam, reg-dropout, train-augment, arch-att, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-cloze |
1 |
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification |
Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang |
https://www.aclweb.org/anthology/D19-1496.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-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, 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-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, 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, 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 |
# optim-adam, optim-projection, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, norm-gradient, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, search-beam, pre-bert, task-lm, task-seq2seq |
2 |
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention |
Biao Zhang, Ivan Titov, Rico Sennrich |
https://www.aclweb.org/anthology/D19-1083.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, 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 |
# optim-adam, optim-projection, init-glorot, reg-dropout, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, search-beam, pre-elmo, pre-bert, task-spanlab, task-seq2seq, task-relation, task-tree |
1 |
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning |
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li |
https://www.aclweb.org/anthology/D19-1170.pdf |
| 2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, loss-svd, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
0 |
Neural Cross-Lingual Event Detection with Minimal Parallel Resources |
Jian Liu, Yubo Chen, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1068.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 |
# 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, 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-adam, reg-dropout, norm-batch, train-mtl, arch-bilinear, loss-svd |
14 |
TuckER: Tensor Factorization for Knowledge Graph Completion |
Ivana Balazevic, Carl Allen, Timothy Hospedales |
https://www.aclweb.org/anthology/D19-1522.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, 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-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-elmo, pre-bert, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq, task-cloze |
6 |
Text Summarization with Pretrained Encoders |
Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1387.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, reg-dropout, arch-rnn, arch-att, arch-copy, arch-coverage, task-seq2seq, task-tree |
0 |
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions |
Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim |
https://www.aclweb.org/anthology/D19-1262.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, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-selfatt |
0 |
Neural News Recommendation with Multi-Head Self-Attention |
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/D19-1671.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 |
# 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, reg-dropout, reg-decay, norm-layer, train-mll, train-parallel, arch-rnn, arch-att, arch-subword, arch-transformer, search-greedy, search-beam, pre-bert, task-lm, task-seq2seq, task-cloze |
2 |
Mask-Predict: Parallel Decoding of Conditional Masked Language Models |
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1633.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 |
# reg-dropout, train-active, arch-att, pre-bert, task-tree |
0 |
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study |
Ziyu Yao, Yu Su, Huan Sun, Wen-tau Yih |
https://www.aclweb.org/anthology/D19-1547.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-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-projection, reg-dropout, norm-layer, pool-mean, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-textclass, task-textpair |
0 |
Learning Invariant Representations of Social Media Users |
Nicholas Andrews, Marcus Bishop |
https://www.aclweb.org/anthology/D19-1178.pdf |
| 2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-coverage, arch-subword, pre-fasttext, loss-svd, task-textpair, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment |
0 |
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? |
Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen |
https://www.aclweb.org/anthology/D19-1449.pdf |
| 2019 |
EMNLP |
# optim-projection, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, pre-elmo, task-seq2seq |
0 |
Deep Ordinal Regression for Pledge Specificity Prediction |
Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin |
https://www.aclweb.org/anthology/D19-1182.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-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 |
# 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 |
# optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, comb-ensemble, search-beam, pre-bert, task-lm, task-seq2seq |
0 |
Exploiting Monolingual Data at Scale for Neural Machine Translation |
Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1430.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-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 |
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 |
# 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 |
# 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-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 |
# optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, train-parallel, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-tree |
0 |
Understanding and Improving Hidden Representations for Neural Machine Translation |
Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi |
https://www.aclweb.org/anthology/N19-1046.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 |
# 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, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, task-spanlab, task-seq2seq |
0 |
Online Distilling from Checkpoints for Neural Machine Translation |
Hao-Ran Wei, Shujian Huang, Ran Wang, Xin-yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1192.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 |
# 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 |
# 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 |
# 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-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, 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, 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, reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, latent-topic, task-textpair |
2 |
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering |
Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi |
https://www.aclweb.org/anthology/N19-2020.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, 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 |
# 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-adam, reg-dropout, pool-max, arch-rnn, arch-att, comb-ensemble, adv-examp, task-textclass, task-seq2seq |
1 |
Mitigating Uncertainty in Document Classification |
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan |
https://www.aclweb.org/anthology/N19-1316.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 |
# init-glorot, reg-dropout, reg-worddropout, arch-cnn, arch-att, arch-coverage, pre-glove, latent-topic, task-textpair, task-seq2seq, task-relation, task-tree |
1 |
No Permanent Friends or Enemies: Tracking Relationships between Nations from News |
Xiaochuang Han, Eunsol Choi, Chenhao Tan |
https://www.aclweb.org/anthology/N19-1167.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, reg-dropout, reg-labelsmooth, norm-layer, train-transfer, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq |
7 |
Non-Parametric Adaptation for Neural Machine Translation |
Ankur Bapna, Orhan Firat |
https://www.aclweb.org/anthology/N19-1191.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 |
# optim-sgd, reg-dropout, arch-cnn, arch-att, arch-selfatt, adv-train |
5 |
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions |
Zhi-Xiu Ye, Zhen-Hua Ling |
https://www.aclweb.org/anthology/N19-1288.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 |
# 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, reg-dropout, pool-max, arch-cnn, arch-att, adv-train, latent-vae, task-textclass |
0 |
Exploiting Noisy Data in Distant Supervision Relation Classification |
Kaijia Yang, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1325.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 |
# 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 |
# 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, 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-adam, reg-dropout, train-active, pool-max, arch-rnn, arch-cnn, arch-att |
0 |
Saliency Learning: Teaching the Model Where to Pay Attention |
Reza Ghaeini, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli |
https://www.aclweb.org/anthology/N19-1404.pdf |
| 2019 |
NAA-CL |
# init-glorot, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-glove, adv-train, loss-triplet, task-lm |
1 |
Adversarial Category Alignment Network for Cross-domain Sentiment Classification |
Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou |
https://www.aclweb.org/anthology/N19-1258.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-sgd, optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-elmo, task-textclass, task-lm, task-seq2seq |
10 |
Pre-trained language model representations for language generation |
Sergey Edunov, Alexei Baevski, Michael Auli |
https://www.aclweb.org/anthology/N19-1409.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 |
# reg-dropout, reg-worddropout, norm-layer, pool-max, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer |
5 |
Relation Extraction using Explicit Context Conditioning |
Gaurav Singh, Parminder Bhatia |
https://www.aclweb.org/anthology/N19-1147.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, 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 |
# optim-adam, reg-dropout, reg-norm, arch-rnn, arch-gru, arch-att, search-beam, loss-nce, task-textclass, task-seq2seq |
3 |
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction |
Kechen Qin, Cheng Li, Virgil Pavlu, Javed Aslam |
https://www.aclweb.org/anthology/N19-1321.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-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 |
# reg-dropout, train-mll, pre-fasttext |
0 |
Combining Discourse Markers and Cross-lingual Embeddings for Synonym–Antonym Classification |
Michael Roth, Shyam Upadhyay |
https://www.aclweb.org/anthology/N19-1390.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-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 |
# 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 |
# 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 |
# reg-dropout, arch-bilinear, arch-subword, pre-word2vec, pre-glove |
2 |
Better Word Embeddings by Disentangling Contextual n-Gram Information |
Prakhar Gupta, Matteo Pagliardini, Martin Jaggi |
https://www.aclweb.org/anthology/N19-1098.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 |
# 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-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, 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, 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-sgd, optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, pre-word2vec, pre-glove, pre-skipthought, pre-elmo, struct-crf, adv-train, latent-vae, task-textclass, task-lm |
6 |
Dialogue Act Classification with Context-Aware Self-Attention |
Vipul Raheja, Joel Tetreault |
https://www.aclweb.org/anthology/N19-1373.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-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-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-sgd, optim-adadelta, reg-dropout, reg-stopping, arch-cnn, arch-att, pre-word2vec, pre-glove, task-textclass |
2 |
An Effective Label Noise Model for DNN Text Classification |
Ishan Jindal, Daniel Pressel, Brian Lester, Matthew Nokleby |
https://www.aclweb.org/anthology/N19-1328.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, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq |
0 |
Disentangling Language and Knowledge in Task-Oriented Dialogs |
Dinesh Raghu, Nikhil Gupta, Mausam |
https://www.aclweb.org/anthology/N19-1126.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-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, 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 |
# 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, 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 |
# reg-dropout, reg-decay, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-tree |
20 |
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data |
Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu |
https://www.aclweb.org/anthology/N19-1014.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 |
# optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, task-seq2seq |
9 |
Selective Attention for Context-aware Neural Machine Translation |
Sameen Maruf, André F. T. Martins, Gholamreza Haffari |
https://www.aclweb.org/anthology/N19-1313.pdf |
| 2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, task-lm, task-condlm, task-seq2seq |
10 |
Probing the Need for Visual Context in Multimodal Machine Translation |
Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault |
https://www.aclweb.org/anthology/N19-1422.pdf |
| 2019 |
NAA-CL |
# reg-dropout, norm-gradient, train-transfer, train-parallel, arch-att, arch-subword, arch-transformer, task-seq2seq, task-alignment |
0 |
Measuring Immediate Adaptation Performance for Neural Machine Translation |
Patrick Simianer, Joern Wuebker, John DeNero |
https://www.aclweb.org/anthology/N19-1206.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 |
# 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 |
# reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-nce, task-seqlab, task-seq2seq |
24 |
Massively Multilingual Neural Machine Translation |
Roee Aharoni, Melvin Johnson, Orhan Firat |
https://www.aclweb.org/anthology/N19-1388.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 |
# 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-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 |
# optim-adam, optim-projection, init-glorot, reg-dropout, reg-labelsmooth, norm-batch, arch-cnn, arch-att, arch-bilinear, task-textpair |
2 |
Adaptive Convolution for Multi-Relational Learning |
Xiaotian Jiang, Quan Wang, Bin Wang |
https://www.aclweb.org/anthology/N19-1103.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-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 |
# 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, 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 |