Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab |
5 |
Neural Architectures for Nested NER through Linearization |
Jana Straková, Milan Straka, Jan Hajic |
https://www.aclweb.org/anthology/P19-1527.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
Stochastic Tokenization with a Language Model for Neural Text Classification |
Tatsuya Hiraoka, Hiroyuki Shindo, Yuji Matsumoto |
https://www.aclweb.org/anthology/P19-1158.pdf |
2019 |
ACL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, task-seq2seq |
2 |
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations |
Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou |
https://www.aclweb.org/anthology/P19-1002.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, latent-vae, loss-nce, task-seq2seq, task-tree, task-graph |
0 |
Discourse Representation Parsing for Sentences and Documents |
Jiangming Liu, Shay B. Cohen, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1629.pdf |
2019 |
ACL |
# optim-adam, train-transfer, arch-rnn, arch-gru, arch-att, arch-subword, task-lm, task-seq2seq |
3 |
Multimodal Abstractive Summarization for How2 Videos |
Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze |
https://www.aclweb.org/anthology/P19-1659.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, train-augment, arch-rnn, arch-transformer, pre-bert, task-spanlab |
2 |
RankQA: Neural Question Answering with Answer Re-Ranking |
Bernhard Kratzwald, Anna Eigenmann, Stefan Feuerriegel |
https://www.aclweb.org/anthology/P19-1611.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-rnn, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert |
0 |
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings |
Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre, Hinrich Schütze |
https://www.aclweb.org/anthology/P19-1574.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, struct-crf |
2 |
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling |
Haihong E, Peiqing Niu, Zhongfu Chen, Meina Song |
https://www.aclweb.org/anthology/P19-1544.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-word2vec, task-lm, task-condlm, task-seq2seq |
1 |
Attention-based Conditioning Methods for External Knowledge Integration |
Katerina Margatina, Christos Baziotis, Alexandros Potamianos |
https://www.aclweb.org/anthology/P19-1385.pdf |
2019 |
ACL |
# optim-adagrad, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gnn, arch-att, search-beam, search-viterbi, pre-glove, pre-skipthought, pre-elmo, task-lm, task-relation |
0 |
Multi-Relational Script Learning for Discourse Relations |
I-Ta Lee, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1413.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, struct-crf |
0 |
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference |
He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong |
https://www.aclweb.org/anthology/P19-1541.pdf |
2019 |
ACL |
# train-augment, arch-rnn, arch-lstm, arch-bilstm, pre-bert, struct-hmm, adv-examp, adv-train, task-spanlab, task-lm, task-seq2seq |
6 |
Combating Adversarial Misspellings with Robust Word Recognition |
Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton |
https://www.aclweb.org/anthology/P19-1561.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese |
Enkhbold Bataa, Joshua Wu |
https://www.aclweb.org/anthology/P19-1458.pdf |
2019 |
ACL |
# 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, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-lm |
2 |
Target-Guided Open-Domain Conversation |
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing, Zhiting Hu |
https://www.aclweb.org/anthology/P19-1565.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seqlab, task-relation |
0 |
Deep Dominance - How to Properly Compare Deep Neural Models |
Rotem Dror, Segev Shlomov, Roi Reichart |
https://www.aclweb.org/anthology/P19-1266.pdf |
2019 |
ACL |
# optim-projection, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-coverage, pre-glove, struct-hmm, struct-crf, task-textclass, task-seqlab |
0 |
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy |
Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor |
https://www.aclweb.org/anthology/P19-1014.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-transformer, nondif-reinforce, task-relation, task-tree |
0 |
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing |
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/P19-1418.pdf |
2019 |
ACL |
# optim-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, 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 |
# train-mll, train-parallel, arch-rnn, arch-att, arch-subword, pre-fasttext, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
1 |
Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation |
Viktor Hangya, Alexander Fraser |
https://www.aclweb.org/anthology/P19-1118.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, activ-tanh, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq |
0 |
Incorporating Linguistic Constraints into Keyphrase Generation |
Jing Zhao, Yuxiang Zhang |
https://www.aclweb.org/anthology/P19-1515.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, task-lm, task-condlm |
1 |
Generating Question Relevant Captions to Aid Visual Question Answering |
Jialin Wu, Zeyuan Hu, Raymond Mooney |
https://www.aclweb.org/anthology/P19-1348.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-cnn, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, task-lm, task-relation |
0 |
Global Textual Relation Embedding for Relational Understanding |
Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su |
https://www.aclweb.org/anthology/P19-1127.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, init-glorot, train-mtl, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-seq2seq |
15 |
Disentangled Representation Learning for Non-Parallel Text Style Transfer |
Vineet John, Lili Mou, Hareesh Bahuleyan, Olga Vechtomova |
https://www.aclweb.org/anthology/P19-1041.pdf |
2019 |
ACL |
# arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq |
3 |
Imitation Learning for Non-Autoregressive Neural Machine Translation |
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun |
https://www.aclweb.org/anthology/P19-1125.pdf |
2019 |
ACL |
# optim-adam, optim-projection, norm-gradient, train-mll, train-transfer, activ-relu, pool-max, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-skipthought, latent-vae, task-textpair, task-lm, task-seq2seq, task-cloze |
0 |
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning |
Shuai Tang, Virginia R. de Sa |
https://www.aclweb.org/anthology/P19-1397.pdf |
2019 |
ACL |
# optim-adam, 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-sgd, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-seqlab, task-seq2seq |
0 |
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories |
Rui Mao, Chenghua Lin, Frank Guerin |
https://www.aclweb.org/anthology/P19-1378.pdf |
2019 |
ACL |
# 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 |
# arch-rnn, arch-cnn, arch-copy, arch-coverage, task-seq2seq |
1 |
HighRES: Highlight-based Reference-less Evaluation of Summarization |
Hardy Hardy, Shashi Narayan, Andreas Vlachos |
https://www.aclweb.org/anthology/P19-1330.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, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq |
0 |
Inducing Document Structure for Aspect-based Summarization |
Lea Frermann, Alexandre Klementiev |
https://www.aclweb.org/anthology/P19-1630.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seq2seq |
1 |
Dense Procedure Captioning in Narrated Instructional Videos |
Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou |
https://www.aclweb.org/anthology/P19-1641.pdf |
2019 |
ACL |
# train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, adv-train, task-seq2seq |
0 |
Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation |
Francine Chen, Yan-Ying Chen |
https://www.aclweb.org/anthology/P19-1211.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm |
0 |
Detecting Concealed Information in Text and Speech |
Shengli Hu |
https://www.aclweb.org/anthology/P19-1039.pdf |
2019 |
ACL |
# optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-condlm, task-seq2seq |
0 |
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing |
Yuanchao Liu, Bo Pang, Bingquan Liu |
https://www.aclweb.org/anthology/P19-1552.pdf |
2019 |
ACL |
# optim-projection, arch-rnn, arch-gru, arch-att, arch-copy, arch-coverage, pre-glove, task-extractive, task-seq2seq |
1 |
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization |
Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke |
https://www.aclweb.org/anthology/P19-1210.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-adadelta, arch-rnn, arch-gru, arch-att, arch-memo, arch-copy, search-beam, latent-vae, task-lm, task-seq2seq |
0 |
Neural Response Generation with Meta-words |
Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang |
https://www.aclweb.org/anthology/P19-1538.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 |
# train-mll, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq |
5 |
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention |
Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo |
https://www.aclweb.org/anthology/P19-1305.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-active, arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, loss-nce, task-seqlab, task-relation |
0 |
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains |
Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1265.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, nondif-straightthrough, nondif-reinforce, latent-vae, task-textclass, task-textpair, task-lm |
3 |
Interpretable Neural Predictions with Differentiable Binary Variables |
Joost Bastings, Wilker Aziz, Ivan Titov |
https://www.aclweb.org/anthology/P19-1284.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq |
3 |
Neural News Recommendation with Long- and Short-term User Representations |
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie |
https://www.aclweb.org/anthology/P19-1033.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-relation, task-graph |
2 |
Graph-based Dependency Parsing with Graph Neural Networks |
Tao Ji, Yuanbin Wu, Man Lan |
https://www.aclweb.org/anthology/P19-1237.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree |
1 |
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming |
Caio Corro, Ivan Titov |
https://www.aclweb.org/anthology/P19-1551.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-gru, arch-gnn, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-seq2seq |
6 |
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs |
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou |
https://www.aclweb.org/anthology/P19-1260.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, 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 |
# arch-rnn, arch-lstm, arch-att, pre-glove, loss-cca, task-seq2seq |
0 |
Exploring Author Context for Detecting Intended vs Perceived Sarcasm |
Silviu Oprea, Walid Magdy |
https://www.aclweb.org/anthology/P19-1275.pdf |
2019 |
ACL |
# train-augment, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, search-beam, pre-glove |
10 |
Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation |
Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie, Jason Baldridge |
https://www.aclweb.org/anthology/P19-1181.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-bert, task-spanlab, task-seq2seq |
0 |
Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension |
Zhengyuan Liu, Nancy Chen |
https://www.aclweb.org/anthology/P19-1543.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-condlm, task-seq2seq |
2 |
Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning |
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1652.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-subword, arch-transformer, pre-fasttext, pre-skipthought, pre-bert, struct-cfg, task-textpair, task-lm, task-tree |
5 |
Correlating Neural and Symbolic Representations of Language |
Grzegorz Chrupała, Afra Alishahi |
https://www.aclweb.org/anthology/P19-1283.pdf |
2019 |
ACL |
# init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, pre-elmo, pre-bert, struct-crf, task-textclass |
12 |
Joint Slot Filling and Intent Detection via Capsule Neural Networks |
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip Yu |
https://www.aclweb.org/anthology/P19-1519.pdf |
2019 |
ACL |
# optim-adam, 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-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-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-relation |
2 |
Multi-grained Named Entity Recognition |
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu |
https://www.aclweb.org/anthology/P19-1138.pdf |
2019 |
ACL |
# optim-adam, init-glorot, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, loss-nce, task-seq2seq |
0 |
Joint Effects of Context and User History for Predicting Online Conversation Re-entries |
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
https://www.aclweb.org/anthology/P19-1270.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq |
3 |
Learning to Ask Unanswerable Questions for Machine Reading Comprehension |
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
https://www.aclweb.org/anthology/P19-1415.pdf |
2019 |
ACL |
# optim-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 |
# train-transfer, arch-rnn, arch-lstm, arch-att, search-beam, nondif-reinforce, loss-nce, task-seq2seq, task-tree |
0 |
Unified Semantic Parsing with Weak Supervision |
Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan |
https://www.aclweb.org/anthology/P19-1473.pdf |
2019 |
ACL |
# train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-word2vec, adv-train, latent-vae |
2 |
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation |
Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou |
https://www.aclweb.org/anthology/P19-1192.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, task-lm |
1 |
Relating Simple Sentence Representations in Deep Neural Networks and the Brain |
Sharmistha Jat, Hao Tang, Partha Talukdar, Tom Mitchell |
https://www.aclweb.org/anthology/P19-1507.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-residual, arch-memo, comb-ensemble, pre-glove, task-textpair, task-condlm, task-tree |
2 |
Simple and Effective Text Matching with Richer Alignment Features |
Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen |
https://www.aclweb.org/anthology/P19-1465.pdf |
2019 |
ACL |
# optim-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, 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 |
# arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-glove, pre-bert, task-lm, task-condlm, task-seq2seq |
1 |
Comparison of Diverse Decoding Methods from Conditional Language Models |
Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova, Chris Callison-Burch |
https://www.aclweb.org/anthology/P19-1365.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq, meta-init |
5 |
Domain Adaptive Dialog Generation via Meta Learning |
Kun Qian, Zhou Yu |
https://www.aclweb.org/anthology/P19-1253.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-coverage, arch-subword, task-lm |
3 |
Meaning to Form: Measuring Systematicity as Information |
Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell |
https://www.aclweb.org/anthology/P19-1171.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq |
5 |
Sparse Sequence-to-Sequence Models |
Ben Peters, Vlad Niculae, André F. T. Martins |
https://www.aclweb.org/anthology/P19-1146.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, struct-cfg, adv-train, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Language Modeling with Shared Grammar |
Yuyu Zhang, Le Song |
https://www.aclweb.org/anthology/P19-1437.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq |
10 |
Is Word Segmentation Necessary for Deep Learning of Chinese Representations? |
Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li |
https://www.aclweb.org/anthology/P19-1314.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-textclass, task-extractive, task-lm, task-seq2seq |
4 |
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model |
Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir Radev |
https://www.aclweb.org/anthology/P19-1102.pdf |
2019 |
ACL |
# arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq |
5 |
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning |
Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang |
https://www.aclweb.org/anthology/P19-1582.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-viterbi, struct-crf, latent-vae, loss-nce, task-relation, task-tree |
1 |
Enhancing Unsupervised Generative Dependency Parser with Contextual Information |
Wenjuan Han, Yong Jiang, Kewei Tu |
https://www.aclweb.org/anthology/P19-1526.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation |
2 |
Visually Grounded Neural Syntax Acquisition |
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu |
https://www.aclweb.org/anthology/P19-1180.pdf |
2019 |
ACL |
# 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-adadelta, train-mll, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, comb-ensemble, pre-word2vec, pre-elmo, adv-train, task-lm, task-seq2seq |
0 |
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning |
Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1429.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq |
10 |
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog |
Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1648.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, pre-glove, task-seqlab |
0 |
Automatically Identifying Complaints in Social Media |
Daniel Preoţiuc-Pietro, Mihaela Gaman, Nikolaos Aletras |
https://www.aclweb.org/anthology/P19-1495.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, norm-batch, norm-gradient, train-mtl, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-textclass, task-lm |
1 |
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media |
Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata |
https://www.aclweb.org/anthology/P19-1241.pdf |
2019 |
ACL |
# 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-projection, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment |
8 |
STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework |
Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang |
https://www.aclweb.org/anthology/P19-1289.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 |
# train-mtl, arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-bert, task-seq2seq |
1 |
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference |
Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1213.pdf |
2019 |
ACL |
# optim-adagrad, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq |
0 |
On the Summarization of Consumer Health Questions |
Asma Ben Abacha, Dina Demner-Fushman |
https://www.aclweb.org/anthology/P19-1215.pdf |
2019 |
ACL |
# 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 |
# arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, adv-examp, task-textclass, task-seq2seq |
2 |
On the Robustness of Self-Attentive Models |
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh |
https://www.aclweb.org/anthology/P19-1147.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, task-textclass, task-seqlab, task-lm |
0 |
On-device Structured and Context Partitioned Projection Networks |
Sujith Ravi, Zornitsa Kozareva |
https://www.aclweb.org/anthology/P19-1368.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, latent-topic, task-seq2seq |
3 |
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification |
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv |
https://www.aclweb.org/anthology/P19-1051.pdf |
2019 |
ACL |
# optim-adam, optim-amsgrad, init-glorot, pool-max, arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq |
0 |
Learning to Select, Track, and Generate for Data-to-Text |
Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura |
https://www.aclweb.org/anthology/P19-1202.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, search-greedy, task-seq2seq, task-tree |
16 |
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems |
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung |
https://www.aclweb.org/anthology/P19-1078.pdf |
2019 |
ACL |
# optim-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 |
# arch-rnn, arch-lstm, arch-att, search-beam, pre-word2vec, adv-train, latent-vae, task-lm, task-condlm, task-seq2seq |
3 |
Retrieval-Enhanced Adversarial Training for Neural Response Generation |
Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei, Ting Liu |
https://www.aclweb.org/anthology/P19-1366.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-seq2seq |
4 |
Assessing the Ability of Self-Attention Networks to Learn Word Order |
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu |
https://www.aclweb.org/anthology/P19-1354.pdf |
2019 |
ACL |
# optim-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, optim-projection, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm |
20 |
What Does BERT Learn about the Structure of Language? |
Ganesh Jawahar, Benoît Sagot, Djamé Seddah |
https://www.aclweb.org/anthology/P19-1356.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, search-viterbi, pre-skipthought, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq |
2 |
Extracting Symptoms and their Status from Clinical Conversations |
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran |
https://www.aclweb.org/anthology/P19-1087.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-rnn, arch-att, arch-selfatt, pre-bert, task-spanlab |
8 |
Compositional Questions Do Not Necessitate Multi-hop Reasoning |
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer |
https://www.aclweb.org/anthology/P19-1416.pdf |
2019 |
ACL |
# optim-sgd, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, search-beam, adv-examp, task-lm, task-condlm, task-seq2seq |
1 |
TIGS: An Inference Algorithm for Text Infilling with Gradient Search |
Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv |
https://www.aclweb.org/anthology/P19-1406.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass |
1 |
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good |
Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang, Zhou Yu |
https://www.aclweb.org/anthology/P19-1566.pdf |
2019 |
ACL |
# 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 |
# reg-norm, arch-rnn, arch-coverage, task-lm |
0 |
Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions |
Innocent Ndubuisi-Obi, Sayan Ghosh, David Jurgens |
https://www.aclweb.org/anthology/P19-1625.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, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, struct-crf, loss-nce, task-textpair, task-seq2seq |
1 |
Optimal Transport-based Alignment of Learned Character Representations for String Similarity |
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum |
https://www.aclweb.org/anthology/P19-1592.pdf |
2019 |
ACL |
# 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-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-beam, task-seqlab, task-lm, task-condlm, task-seq2seq, task-relation |
0 |
Generating Responses with a Specific Emotion in Dialog |
Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1359.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-transfer, train-active, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq |
0 |
Self-Regulated Interactive Sequence-to-Sequence Learning |
Julia Kreutzer, Stefan Riezler |
https://www.aclweb.org/anthology/P19-1029.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon |
2 |
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts |
Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1264.pdf |
2019 |
ACL |
# optim-adam, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, task-lm, task-seq2seq, task-tree |
1 |
Semantic Parsing with Dual Learning |
Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu |
https://www.aclweb.org/anthology/P19-1007.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-gating, arch-memo, arch-coverage, pre-word2vec, adv-train, latent-vae, task-seq2seq |
0 |
Enhancing Topic-to-Essay Generation with External Commonsense Knowledge |
Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun |
https://www.aclweb.org/anthology/P19-1193.pdf |
2019 |
ACL |
# optim-adam, arch-rnn |
1 |
Bias Analysis and Mitigation in the Evaluation of Authorship Verification |
Janek Bevendorff, Matthias Hagen, Benno Stein, Martin Potthast |
https://www.aclweb.org/anthology/P19-1634.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, init-glorot, train-mtl, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, search-beam, latent-vae, task-textclass, task-lm, task-seq2seq |
2 |
Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking |
Masaru Isonuma, Junichiro Mori, Ichiro Sakata |
https://www.aclweb.org/anthology/P19-1206.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq |
4 |
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction |
Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita |
https://www.aclweb.org/anthology/P19-1225.pdf |
2019 |
ACL |
# 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-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-transformer, comb-ensemble, pre-word2vec, task-seqlab, task-lm, task-seq2seq, task-relation |
4 |
Open Vocabulary Learning for Neural Chinese Pinyin IME |
Zhuosheng Zhang, Yafang Huang, Hai Zhao |
https://www.aclweb.org/anthology/P19-1154.pdf |
2019 |
ACL |
# optim-adam, optim-amsgrad, init-glorot, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, struct-crf, task-relation, task-tree |
1 |
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks |
Xinyu Wang, Jingxian Huang, Kewei Tu |
https://www.aclweb.org/anthology/P19-1454.pdf |
2019 |
ACL |
# train-mtl, arch-rnn, arch-lstm, arch-att, arch-copy, task-lm, task-seq2seq |
0 |
Automated Chess Commentator Powered by Neural Chess Engine |
Hongyu Zang, Zhiwei Yu, Xiaojun Wan |
https://www.aclweb.org/anthology/P19-1597.pdf |
2019 |
ACL |
# train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, pre-glove, adv-examp, adv-train, task-textclass |
68 |
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency |
Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che |
https://www.aclweb.org/anthology/P19-1103.pdf |
2019 |
ACL |
# optim-adam, init-glorot, norm-batch, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, task-textclass, task-textpair, task-lm, task-seq2seq |
4 |
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks |
Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui |
https://www.aclweb.org/anthology/P19-1145.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, 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, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, task-seqlab, task-seq2seq, task-relation |
0 |
Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation |
Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao |
https://www.aclweb.org/anthology/P19-1196.pdf |
2019 |
ACL |
# reg-labelsmooth, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, search-beam, pre-word2vec, task-seqlab, task-seq2seq, task-relation |
0 |
Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages |
Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal |
https://www.aclweb.org/anthology/P19-1111.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-decay, train-augment, arch-rnn, arch-att, arch-bilinear, arch-subword, task-textclass, task-lm, task-seq2seq, task-relation |
5 |
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology |
Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach, Ryan Cotterell |
https://www.aclweb.org/anthology/P19-1161.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, loss-margin, task-textpair, task-seq2seq, task-relation |
1 |
Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks |
Jing Ma, Wei Gao, Shafiq Joty, Kam-Fai Wong |
https://www.aclweb.org/anthology/P19-1244.pdf |
2019 |
ACL |
# optim-adam, 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, train-curriculum, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, task-lm, task-relation |
0 |
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems |
Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/P19-1370.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, struct-crf, task-seqlab, task-seq2seq |
1 |
A Neural Multi-digraph Model for Chinese NER with Gazetteers |
Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si |
https://www.aclweb.org/anthology/P19-1141.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, 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, 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-adagrad, train-mtl, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, arch-residual, arch-subword, pre-word2vec, pre-elmo |
0 |
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings |
Linh The Nguyen, Linh Van Ngo, Khoat Than, Thien Huu Nguyen |
https://www.aclweb.org/anthology/P19-1411.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-lm, task-seq2seq |
1 |
Attention Is (not) All You Need for Commonsense Reasoning |
Tassilo Klein, Moin Nabi |
https://www.aclweb.org/anthology/P19-1477.pdf |
2019 |
ACL |
# optim-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, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-bert, task-textpair, task-lm, task-tree |
37 |
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference |
Tom McCoy, Ellie Pavlick, Tal Linzen |
https://www.aclweb.org/anthology/P19-1334.pdf |
2019 |
ACL |
# optim-adam, 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, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq |
0 |
Using Human Attention to Extract Keyphrase from Microblog Post |
Yingyi Zhang, Chengzhi Zhang |
https://www.aclweb.org/anthology/P19-1588.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, struct-crf, task-lm, task-tree |
0 |
Rationally Reappraising ATIS-based Dialogue Systems |
Jingcheng Niu, Gerald Penn |
https://www.aclweb.org/anthology/P19-1550.pdf |
2019 |
ACL |
# optim-adam, reg-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-stopping, norm-gradient, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-copy, search-beam, latent-vae, latent-topic, task-textclass, task-seq2seq |
3 |
Topic-Aware Neural Keyphrase Generation for Social Media Language |
Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi |
https://www.aclweb.org/anthology/P19-1240.pdf |
2019 |
ACL |
# optim-adam, init-glorot, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, nondif-reinforce, task-lm, task-condlm, task-seq2seq, task-alignment |
0 |
Towards Comprehensive Description Generation from Factual Attribute-value Tables |
Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui |
https://www.aclweb.org/anthology/P19-1600.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree |
1 |
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder |
Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko |
https://www.aclweb.org/anthology/P19-1407.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-att, arch-coverage, latent-vae, task-lm, task-seq2seq, task-tree |
0 |
Syntax-Infused Variational Autoencoder for Text Generation |
Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1199.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-subword, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq |
2 |
Like a Baby: Visually Situated Neural Language Acquisition |
Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter |
https://www.aclweb.org/anthology/P19-1506.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gnn, arch-subword, pre-glove, task-seq2seq, meta-init |
0 |
Embedding Imputation with Grounded Language Information |
Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve |
https://www.aclweb.org/anthology/P19-1326.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, norm-gradient, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion |
Suyoun Kim, Siddharth Dalmia, Florian Metze |
https://www.aclweb.org/anthology/P19-1107.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-coverage, comb-ensemble, task-textpair, task-lm, task-seq2seq, task-tree |
3 |
An Imitation Learning Approach to Unsupervised Parsing |
Bowen Li, Lili Mou, Frank Keller |
https://www.aclweb.org/anthology/P19-1338.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-lm |
0 |
Better Exploiting Latent Variables in Text Modeling |
Canasai Kruengkrai |
https://www.aclweb.org/anthology/P19-1553.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph |
2 |
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model |
Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun |
https://www.aclweb.org/anthology/P19-1479.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree |
0 |
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models |
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1200.pdf |
2019 |
ACL |
# optim-adam, reg-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 |
# reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab |
1 |
Towards Improving Neural Named Entity Recognition with Gazetteers |
Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin |
https://www.aclweb.org/anthology/P19-1524.pdf |
2019 |
ACL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm, task-tree |
0 |
Towards Lossless Encoding of Sentences |
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp |
https://www.aclweb.org/anthology/P19-1153.pdf |
2019 |
ACL |
# train-mll, train-transfer, pool-max, pool-mean, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, task-textclass, task-seq2seq |
4 |
Exploiting Sentential Context for Neural Machine Translation |
Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi |
https://www.aclweb.org/anthology/P19-1624.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, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, pre-word2vec, latent-vae, task-seq2seq |
1 |
Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables |
Lei Shen, Yang Feng, Haolan Zhan |
https://www.aclweb.org/anthology/P19-1549.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 |
# train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq |
0 |
Literary Event Detection |
Matthew Sims, Jong Ho Park, David Bamman |
https://www.aclweb.org/anthology/P19-1353.pdf |
2019 |
ACL |
# init-glorot, arch-rnn, arch-lstm, arch-gru, comb-ensemble, struct-hmm, loss-svd, task-lm |
0 |
Interpolated Spectral NGram Language Models |
Ariadna Quattoni, Xavier Carreras |
https://www.aclweb.org/anthology/P19-1594.pdf |
2019 |
ACL |
# optim-sgd, optim-projection, reg-dropout, reg-stopping, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, pre-bert, task-textclass, task-spanlab, task-lm, task-tree |
5 |
Training Neural Response Selection for Task-Oriented Dialogue Systems |
Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su |
https://www.aclweb.org/anthology/P19-1536.pdf |
2019 |
ACL |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-condlm |
0 |
What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues |
Yu Qin, Yi Yang |
https://www.aclweb.org/anthology/P19-1038.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-att, task-seq2seq |
1 |
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection |
Maria Corkery, Yevgen Matusevych, Sharon Goldwater |
https://www.aclweb.org/anthology/P19-1376.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, adv-train, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment |
1 |
Domain Adaptation of Neural Machine Translation by Lexicon Induction |
Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell |
https://www.aclweb.org/anthology/P19-1286.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, task-textpair, task-seq2seq |
1 |
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation |
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
https://www.aclweb.org/anthology/P19-1362.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mtl, train-mll, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, adv-train |
2 |
Adversarial Attention Modeling for Multi-dimensional Emotion Regression |
Suyang Zhu, Shoushan Li, Guodong Zhou |
https://www.aclweb.org/anthology/P19-1045.pdf |
2019 |
ACL |
# 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-stopping, reg-patience, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, pre-fasttext |
0 |
Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays |
Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng |
https://www.aclweb.org/anthology/P19-1390.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, comb-ensemble, struct-crf |
1 |
Cost-sensitive Regularization for Label Confusion-aware Event Detection |
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1521.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-gating, arch-transformer, comb-ensemble, search-beam, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq |
5 |
Multi-style Generative Reading Comprehension |
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita |
https://www.aclweb.org/anthology/P19-1220.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, pre-glove, task-textclass, task-condlm |
1 |
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model |
Yitao Cai, Huiyu Cai, Xiaojun Wan |
https://www.aclweb.org/anthology/P19-1239.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, task-lm, task-seq2seq, task-lexicon |
0 |
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories |
Ignacio Iacobacci, Roberto Navigli |
https://www.aclweb.org/anthology/P19-1165.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, pre-glove |
13 |
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations |
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1050.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-relation |
3 |
Reliability-aware Dynamic Feature Composition for Name Tagging |
Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han |
https://www.aclweb.org/anthology/P19-1016.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, arch-subword, pre-glove, pre-bert, struct-crf, task-seqlab, task-spanlab, task-lm, task-seq2seq |
1 |
A Lightweight Recurrent Network for Sequence Modeling |
Biao Zhang, Rico Sennrich |
https://www.aclweb.org/anthology/P19-1149.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq, task-relation |
5 |
Lattice-Based Transformer Encoder for Neural Machine Translation |
Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen |
https://www.aclweb.org/anthology/P19-1298.pdf |
2019 |
ACL |
# optim-adam, optim-projection, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, arch-memo, pre-glove, adv-examp, adv-train, task-spanlab |
2 |
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1262.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-stopping, train-mtl, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-transformer, search-beam, task-condlm, task-seq2seq |
4 |
Distilling Translations with Visual Awareness |
Julia Ive, Pranava Madhyastha, Lucia Specia |
https://www.aclweb.org/anthology/P19-1653.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab |
3 |
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension |
Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1261.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-energy, arch-transformer, search-beam, task-seq2seq |
2 |
Self-Attentional Models for Lattice Inputs |
Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel |
https://www.aclweb.org/anthology/P19-1115.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, norm-batch, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, latent-vae, latent-topic, task-lm |
1 |
Open Domain Event Extraction Using Neural Latent Variable Models |
Xiao Liu, Heyan Huang, Yue Zhang |
https://www.aclweb.org/anthology/P19-1276.pdf |
2019 |
ACL |
# 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 |
# arch-rnn |
2 |
Miss Tools and Mr Fruit: Emergent Communication in Agents Learning about Object Affordances |
Diane Bouchacourt, Marco Baroni |
https://www.aclweb.org/anthology/P19-1380.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 |
# arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq |
1 |
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer |
Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun |
https://www.aclweb.org/anthology/P19-1482.pdf |
2019 |
ACL |
# optim-adagrad, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq |
2 |
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization |
Eva Sharma, Chen Li, Lu Wang |
https://www.aclweb.org/anthology/P19-1212.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq, task-alignment |
10 |
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation |
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel |
https://www.aclweb.org/anthology/P19-1126.pdf |
2019 |
ACL |
# 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, arch-rnn, arch-att, pre-word2vec, pre-bert, task-condlm, task-tree |
17 |
A Corpus for Reasoning about Natural Language Grounded in Photographs |
Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai, Yoav Artzi |
https://www.aclweb.org/anthology/P19-1644.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, optim-projection, norm-layer, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-seq2seq |
9 |
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention |
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang |
https://www.aclweb.org/anthology/P19-1360.pdf |
2019 |
ACL |
# optim-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 |
# arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec |
2 |
Argument Invention from First Principles |
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim |
https://www.aclweb.org/anthology/P19-1097.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, search-beam, pre-word2vec, task-lm, task-seq2seq |
0 |
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization |
Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis |
https://www.aclweb.org/anthology/P19-1501.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-copy, pre-glove, nondif-minrisk, latent-vae, task-seq2seq, task-relation |
7 |
Towards Explainable NLP: A Generative Explanation Framework for Text Classification |
Hui Liu, Qingyu Yin, William Yang Wang |
https://www.aclweb.org/anthology/P19-1560.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-topic, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree |
2 |
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding |
Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song |
https://www.aclweb.org/anthology/P19-1190.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-fasttext, pre-glove, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation, task-alignment |
1 |
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction |
Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang |
https://www.aclweb.org/anthology/P19-1344.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-seqlab |
0 |
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge |
Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng, Ying Shen |
https://www.aclweb.org/anthology/P19-1430.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-lm, task-condlm, task-seq2seq |
0 |
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports |
Baoyu Jing, Zeya Wang, Eric Xing |
https://www.aclweb.org/anthology/P19-1657.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, task-seq2seq |
2 |
Global Optimization under Length Constraint for Neural Text Summarization |
Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura |
https://www.aclweb.org/anthology/P19-1099.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, 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-adam, reg-dropout, reg-patience, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, adv-examp, latent-vae, task-lm, task-condlm, task-seq2seq |
0 |
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation |
Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun |
https://www.aclweb.org/anthology/P19-1197.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, pool-kmax, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-bilinear, task-seq2seq |
1 |
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization |
Kai Wang, Xiaojun Quan, Rui Wang |
https://www.aclweb.org/anthology/P19-1207.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, task-textclass |
2 |
Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates |
Shohreh Haddadan, Elena Cabrio, Serena Villata |
https://www.aclweb.org/anthology/P19-1463.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-bert |
4 |
Proactive Human-Machine Conversation with Explicit Conversation Goal |
Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian, Haifeng Wang |
https://www.aclweb.org/anthology/P19-1369.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, pre-glove, task-textclass |
3 |
Deep Unknown Intent Detection with Margin Loss |
Ting-En Lin, Hua Xu |
https://www.aclweb.org/anthology/P19-1548.pdf |
2019 |
ACL |
# optim-adam, init-glorot, norm-layer, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Text Categorization by Learning Predominant Sense of Words as Auxiliary Task |
Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto |
https://www.aclweb.org/anthology/P19-1105.pdf |
2019 |
ACL |
# optim-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 |
# 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, arch-rnn, arch-att, arch-memo, arch-coverage, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
TWEETQA: A Social Media Focused Question Answering Dataset |
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
https://www.aclweb.org/anthology/P19-1496.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 |
# 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, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, nondif-reinforce, task-spanlab |
1 |
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data |
Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang |
https://www.aclweb.org/anthology/P19-1434.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-word2vec, task-seqlab, task-seq2seq |
0 |
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation |
Cao Liu, Shizhu He, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/P19-1367.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-bert, task-relation |
0 |
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures |
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou |
https://www.aclweb.org/anthology/P19-1432.pdf |
2019 |
ACL |
# arch-rnn, arch-att, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-condlm, task-seq2seq |
3 |
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions |
Pranava Madhyastha, Josiah Wang, Lucia Specia |
https://www.aclweb.org/anthology/P19-1654.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, norm-gradient, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, pre-word2vec, task-extractive, task-seq2seq |
0 |
This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation |
Rui Zhang, Joel Tetreault |
https://www.aclweb.org/anthology/P19-1043.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-elmo, loss-nce, task-seqlab |
0 |
Implicit Discourse Relation Identification for Open-domain Dialogues |
Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, Wen Cui, Marilyn Walker |
https://www.aclweb.org/anthology/P19-1065.pdf |
2019 |
ACL |
# optim-adam, norm-layer, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
A Compact and Language-Sensitive Multilingual Translation Method |
Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong |
https://www.aclweb.org/anthology/P19-1117.pdf |
2019 |
ACL |
# train-mtl, pool-mean, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-textclass, task-textpair, task-extractive, task-seq2seq |
3 |
Searching for Effective Neural Extractive Summarization: What Works and What’s Next |
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/P19-1100.pdf |
2019 |
ACL |
# reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, task-seq2seq |
0 |
Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation |
Bram Bulte, Arda Tezcan |
https://www.aclweb.org/anthology/P19-1175.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, arch-transformer, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq |
1 |
Coreference Resolution with Entity Equalization |
Ben Kantor, Amir Globerson |
https://www.aclweb.org/anthology/P19-1066.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, struct-crf, task-seq2seq, task-tree |
2 |
Robust Zero-Shot Cross-Domain Slot Filling with Example Values |
Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur |
https://www.aclweb.org/anthology/P19-1547.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, search-beam, pre-glove, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
0 |
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching |
Jihun Choi, Taeuk Kim, Sang-goo Lee |
https://www.aclweb.org/anthology/P19-1469.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree |
1 |
Improving Multi-turn Dialogue Modelling with Utterance ReWriter |
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou |
https://www.aclweb.org/anthology/P19-1003.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph |
7 |
AMR Parsing as Sequence-to-Graph Transduction |
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme |
https://www.aclweb.org/anthology/P19-1009.pdf |
2019 |
ACL |
# optim-adam, optim-projection, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-bert |
5 |
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking |
Hwaran Lee, Jinsik Lee, Tae-Yoon Kim |
https://www.aclweb.org/anthology/P19-1546.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, task-textpair, task-seq2seq, task-relation, task-tree |
0 |
An Empirical Study of Span Representations in Argumentation Structure Parsing |
Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui |
https://www.aclweb.org/anthology/P19-1464.pdf |
2019 |
ACL |
# optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq, task-relation |
1 |
What Kind of Language Is Hard to Language-Model? |
Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner |
https://www.aclweb.org/anthology/P19-1491.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-lm |
0 |
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text |
Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, Marius Kloft |
https://www.aclweb.org/anthology/P19-1398.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-copy, arch-coverage, task-seqlab, task-lm |
6 |
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling |
Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/P19-1598.pdf |
2019 |
ACL |
# reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-subword, nondif-minrisk, loss-margin, task-textpair, task-seq2seq |
4 |
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity |
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig |
https://www.aclweb.org/anthology/P19-1427.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 |
# reg-stopping, train-transfer, arch-rnn, arch-att, pre-glove, pre-bert, task-spanlab, task-lm, task-tree |
12 |
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension |
Alon Talmor, Jonathan Berant |
https://www.aclweb.org/anthology/P19-1485.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-word2vec, pre-elmo, pre-bert, task-textclass |
4 |
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues |
Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/P19-1001.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze |
27 |
ERNIE: Enhanced Language Representation with Informative Entities |
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu |
https://www.aclweb.org/anthology/P19-1139.pdf |
2019 |
ACL |
# optim-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, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, task-textclass, task-seqlab |
1 |
Incremental Learning from Scratch for Task-Oriented Dialogue Systems |
Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li |
https://www.aclweb.org/anthology/P19-1361.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, task-spanlab, task-seq2seq |
1 |
Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension |
Yimeng Zhuang, Huadong Wang |
https://www.aclweb.org/anthology/P19-1218.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, adv-examp, adv-train, task-textclass, task-seq2seq |
1 |
Effective Adversarial Regularization for Neural Machine Translation |
Motoki Sato, Jun Suzuki, Shun Kiyono |
https://www.aclweb.org/anthology/P19-1020.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-transformer, pre-elmo, pre-bert, task-textpair, task-lm, task-cloze |
37 |
BERT Rediscovers the Classical NLP Pipeline |
Ian Tenney, Dipanjan Das, Ellie Pavlick |
https://www.aclweb.org/anthology/P19-1452.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-copy, pre-glove, task-lm, task-seq2seq |
4 |
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing |
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/P19-1331.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-coverage, comb-ensemble, search-viterbi, pre-elmo |
5 |
Wide-Coverage Neural A* Parsing for Minimalist Grammars |
John Torr, Milos Stanojevic, Mark Steedman, Shay B. Cohen |
https://www.aclweb.org/anthology/P19-1238.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-transformer, task-lm, task-seq2seq, task-alignment, meta-arch |
1 |
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future |
Hongyin Luo, Lan Jiang, Yonatan Belinkov, James Glass |
https://www.aclweb.org/anthology/P19-1144.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze |
2 |
Exploring Pre-trained Language Models for Event Extraction and Generation |
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li |
https://www.aclweb.org/anthology/P19-1522.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-transformer, task-condlm, task-seq2seq |
0 |
Expressing Visual Relationships via Language |
Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1182.pdf |
2019 |
ACL |
# init-glorot, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-energy, comb-ensemble, pre-fasttext, pre-bert, struct-crf, task-relation |
0 |
An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing |
Zhisong Zhang, Xuezhe Ma, Eduard Hovy |
https://www.aclweb.org/anthology/P19-1562.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq |
6 |
Attention Guided Graph Convolutional Networks for Relation Extraction |
Zhijiang Guo, Yan Zhang, Wei Lu |
https://www.aclweb.org/anthology/P19-1024.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-rnn, comb-ensemble, pre-word2vec, pre-glove, task-seq2seq |
0 |
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game |
Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang |
https://www.aclweb.org/anthology/P19-1421.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, norm-gradient, train-mtl, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-gating, task-seq2seq, task-relation, task-tree |
3 |
Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language |
Grzegorz Chrupała |
https://www.aclweb.org/anthology/P19-1647.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-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, arch-rnn, arch-gru, arch-att, comb-ensemble, task-lm, task-seq2seq |
2 |
Dual Supervised Learning for Natural Language Understanding and Generation |
Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen |
https://www.aclweb.org/anthology/P19-1545.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, adv-train, task-spanlab, task-lm, task-seq2seq |
0 |
Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums |
Zi Chai, Xinyu Xing, Xiaojun Wan, Bo Huang |
https://www.aclweb.org/anthology/P19-1497.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-bilinear, pre-glove, pre-elmo, pre-bert, struct-crf, task-seq2seq, task-relation |
3 |
A Unified Linear-Time Framework for Sentence-Level Discourse Parsing |
Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari |
https://www.aclweb.org/anthology/P19-1410.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, task-seq2seq, task-tree |
5 |
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing |
Ben Bogin, Jonathan Berant, Matt Gardner |
https://www.aclweb.org/anthology/P19-1448.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-memo, arch-copy, pre-glove, task-relation |
4 |
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction |
Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma |
https://www.aclweb.org/anthology/P19-1136.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, task-spanlab, task-lm, task-seq2seq |
1 |
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling |
Yifan Gao, Piji Li, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/P19-1480.pdf |
2019 |
ACL |
# optim-adam, norm-gradient, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, latent-vae, task-textclass, task-seq2seq |
1 |
Fine-Grained Sentence Functions for Short-Text Conversation |
Wei Bi, Jun Gao, Xiaojiang Liu, Shuming Shi |
https://www.aclweb.org/anthology/P19-1389.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, reg-patience, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-textpair, task-lm, task-seq2seq |
7 |
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study |
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio |
https://www.aclweb.org/anthology/P19-1004.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-paravec, task-seq2seq |
9 |
Hierarchical Transformers for Multi-Document Summarization |
Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1500.pdf |
2019 |
ACL |
# train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-glove, pre-bert, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
Self-Attention Architectures for Answer-Agnostic Neural Question Generation |
Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano |
https://www.aclweb.org/anthology/P19-1604.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 |
# init-glorot, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-seq2seq |
0 |
Parallel Iterative Edit Models for Local Sequence Transduction |
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla |
https://www.aclweb.org/anthology/D19-1435.pdf |
2019 |
EMNLP |
# arch-rnn, arch-cnn |
0 |
Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature |
Bonan Min, Yee Seng Chan, Haoling Qiu, Joshua Fasching |
https://www.aclweb.org/anthology/D19-1680.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-elmo, task-extractive |
5 |
Neural Extractive Text Summarization with Syntactic Compression |
Jiacheng Xu, Greg Durrett |
https://www.aclweb.org/anthology/D19-1324.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Bias and Fairness in Natural Language Processing |
Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-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 |
# arch-rnn |
0 |
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules |
Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison, Kee-Eung Kim |
https://www.aclweb.org/anthology/D19-3032.pdf |
2019 |
EMNLP |
# train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq |
0 |
“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer |
Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran |
https://www.aclweb.org/anthology/D19-1322.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-att, arch-coverage, arch-transformer, task-seq2seq |
3 |
Dynamic Past and Future for Neural Machine Translation |
Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/D19-1086.pdf |
2019 |
EMNLP |
# train-mtl, train-transfer, arch-rnn, arch-att, arch-subword, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
Improving Neural Story Generation by Targeted Common Sense Grounding |
Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley, Garrison Cottrell |
https://www.aclweb.org/anthology/D19-1615.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 |
# 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, arch-rnn, arch-gru, arch-att, arch-copy, search-greedy, task-textpair, task-seq2seq |
0 |
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge |
Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin |
https://www.aclweb.org/anthology/D19-1299.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab |
0 |
Answering questions by learning to rank - Learning to rank by answering questions |
George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti |
https://www.aclweb.org/anthology/D19-1256.pdf |
2019 |
EMNLP |
# optim-adam, reg-norm, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon |
0 |
Cross-Cultural Transfer Learning for Text Classification |
Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky |
https://www.aclweb.org/anthology/D19-1400.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, pre-word2vec, pre-fasttext, pre-glove, latent-topic, task-textclass, task-lm |
0 |
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention |
Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li, Xiaohao He |
https://www.aclweb.org/anthology/D19-1181.pdf |
2019 |
EMNLP |
# pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-skipthought, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze |
0 |
UER: An Open-Source Toolkit for Pre-training Models |
Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du |
https://www.aclweb.org/anthology/D19-3041.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, search-viterbi, nondif-reinforce, latent-vae, task-seq2seq |
0 |
Low-Resource Response Generation with Template Prior |
Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li |
https://www.aclweb.org/anthology/D19-1197.pdf |
2019 |
EMNLP |
# arch-rnn, arch-gru, arch-att, arch-transformer, pre-bert, task-textclass, task-lm |
1 |
Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop |
Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil |
https://www.aclweb.org/anthology/D19-1481.pdf |
2019 |
EMNLP |
# train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-subword, task-lm, task-seq2seq |
0 |
Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja |
Kang Min Yoo, Taeuk Kim, Sang-goo Lee |
https://www.aclweb.org/anthology/D19-1358.pdf |
2019 |
EMNLP |
# optim-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-sgd, optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, task-seq2seq |
0 |
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training |
Alham Fikri Aji, Kenneth Heafield, Nikolay Bogoychev |
https://www.aclweb.org/anthology/D19-1373.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, search-beam, pre-bert, task-spanlab, task-lm, task-seq2seq |
0 |
Restoring ancient text using deep learning: a case study on Greek epigraphy |
Yannis Assael, Thea Sommerschield, Jonathan Prag |
https://www.aclweb.org/anthology/D19-1668.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, struct-crf, task-lm, task-seq2seq |
0 |
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis |
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou |
https://www.aclweb.org/anthology/D19-1559.pdf |
2019 |
EMNLP |
# 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-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-projection, train-transfer, arch-rnn, arch-lstm, pre-elmo, pre-bert, adv-train, task-textclass, task-seqlab, task-lm, task-cloze |
4 |
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling |
Xiaochuang Han, Jacob Eisenstein |
https://www.aclweb.org/anthology/D19-1433.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq |
0 |
Encoders Help You Disambiguate Word Senses in Neural Machine Translation |
Gongbo Tang, Rico Sennrich, Joakim Nivre |
https://www.aclweb.org/anthology/D19-1149.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-gating, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation |
Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei |
https://www.aclweb.org/anthology/D19-1409.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, task-lm, task-tree |
0 |
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog |
Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1163.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, pre-fasttext, task-textclass |
0 |
PRADO: Projection Attention Networks for Document Classification On-Device |
Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva |
https://www.aclweb.org/anthology/D19-1506.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-att, task-textpair, task-tree |
1 |
Posing Fair Generalization Tasks for Natural Language Inference |
Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts |
https://www.aclweb.org/anthology/D19-1456.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-copy, arch-coverage, pre-word2vec, latent-vae, task-lm, task-seq2seq |
0 |
Unsupervised Context Rewriting for Open Domain Conversation |
Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, Jingsong Yu |
https://www.aclweb.org/anthology/D19-1192.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, loss-nce, task-textpair, task-alignment |
0 |
A Gated Self-attention Memory Network for Answer Selection |
Tuan Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara |
https://www.aclweb.org/anthology/D19-1610.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, arch-rnn, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-svd, task-lm, task-seq2seq, task-relation, task-alignment |
3 |
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing |
Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu |
https://www.aclweb.org/anthology/D19-1575.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-patience, arch-rnn, arch-gru, arch-att, arch-copy, search-beam, task-seq2seq |
0 |
Modeling Multi-Action Policy for Task-Oriented Dialogues |
Lei Shu, Hu Xu, Bing Liu, Piero Molino |
https://www.aclweb.org/anthology/D19-1130.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-recnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq |
2 |
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons |
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu |
https://www.aclweb.org/anthology/D19-1135.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo |
0 |
Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree |
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu |
https://www.aclweb.org/anthology/D19-1569.pdf |
2019 |
EMNLP |
# optim-adagrad, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-bilinear, pre-glove, task-textclass, task-relation, task-tree |
0 |
Event Representation Learning Enhanced with External Commonsense Knowledge |
Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan |
https://www.aclweb.org/anthology/D19-1495.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-rnn, arch-lstm, arch-att, pre-fasttext, pre-bert, loss-margin, loss-triplet, task-lm, task-condlm, task-seq2seq |
0 |
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations |
Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann |
https://www.aclweb.org/anthology/D19-1154.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, norm-layer, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, search-beam, struct-crf, task-lm, task-seq2seq |
0 |
Efficient Convolutional Neural Networks for Diacritic Restoration |
Sawsan Alqahtani, Ajay Mishra, Mona Diab |
https://www.aclweb.org/anthology/D19-1151.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-lm |
1 |
Quantity doesn’t buy quality syntax with neural language models |
Marten van Schijndel, Aaron Mueller, Tal Linzen |
https://www.aclweb.org/anthology/D19-1592.pdf |
2019 |
EMNLP |
# reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-coverage, pre-word2vec, struct-crf, task-textclass, task-lm, task-seq2seq |
0 |
Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content |
Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben |
https://www.aclweb.org/anthology/D19-1239.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
74 |
Semantic Specialization of Distributional Word Vectors |
Goran Glavaś, Edoardo Maria Ponti, Ivan Vulić |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-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, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation |
0 |
Hierarchically-Refined Label Attention Network for Sequence Labeling |
Leyang Cui, Yue Zhang |
https://www.aclweb.org/anthology/D19-1422.pdf |
2019 |
EMNLP |
# 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, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Context-Aware Conversation Thread Detection in Multi-Party Chat |
Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, pre-word2vec, task-seqlab, task-lm, task-relation, task-graph |
0 |
Supervising Unsupervised Open Information Extraction Models |
Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan |
https://www.aclweb.org/anthology/D19-1067.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq |
0 |
Subword Language Model for Query Auto-Completion |
Gyuwan Kim |
https://www.aclweb.org/anthology/D19-1507.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, train-mtl, train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-memo, arch-coverage, arch-transformer, pre-bert |
1 |
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection |
Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun |
https://www.aclweb.org/anthology/D19-1471.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, task-textclass, task-seq2seq |
0 |
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification |
Jiawei Wu, Wenhan Xiong, William Yang Wang |
https://www.aclweb.org/anthology/D19-1444.pdf |
2019 |
EMNLP |
# train-mtl, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing |
Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura |
https://www.aclweb.org/anthology/D19-1648.pdf |
2019 |
EMNLP |
# reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features |
Hongyin Tang, Miao Li, Beihong Jin |
https://www.aclweb.org/anthology/D19-1513.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, activ-tanh, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-nce, task-seq2seq, task-relation |
0 |
Minimally Supervised Learning of Affective Events Using Discourse Relations |
Jun Saito, Yugo Murawaki, Sadao Kurohashi |
https://www.aclweb.org/anthology/D19-1581.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, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-subword, struct-crf, task-seq2seq |
0 |
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity |
Penghui Wei, Nan Xu, Wenji Mao |
https://www.aclweb.org/anthology/D19-1485.pdf |
2019 |
EMNLP |
# arch-rnn, arch-coverage, pre-fasttext, pre-glove, task-textpair |
0 |
Identifying and Explaining Discriminative Attributes |
Armins Stepanjans, André Freitas |
https://www.aclweb.org/anthology/D19-1440.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 |
# optim-projection, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq |
0 |
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss |
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao |
https://www.aclweb.org/anthology/D19-1247.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-seq2seq |
0 |
Referring Expression Generation Using Entity Profiles |
Meng Cao, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/D19-1312.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-gru, arch-bigru, arch-att, arch-copy, arch-subword, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
Generating Personalized Recipes from Historical User Preferences |
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley |
https://www.aclweb.org/anthology/D19-1613.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, adv-train, loss-triplet, task-condlm, task-seq2seq |
0 |
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach |
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon |
https://www.aclweb.org/anthology/D19-1208.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-seq2seq |
1 |
Incorporating External Knowledge into Machine Reading for Generative Question Answering |
Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
https://www.aclweb.org/anthology/D19-1255.pdf |
2019 |
EMNLP |
# arch-rnn, arch-att, arch-subword, arch-transformer, search-greedy, search-beam, task-lm, task-condlm, task-seq2seq |
1 |
Speculative Beam Search for Simultaneous Translation |
Renjie Zheng, Mingbo Ma, Baigong Zheng, Liang Huang |
https://www.aclweb.org/anthology/D19-1144.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq, task-cloze |
1 |
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects |
Jianmo Ni, Jiacheng Li, Julian McAuley |
https://www.aclweb.org/anthology/D19-1018.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, pre-word2vec, pre-glove, task-textpair, task-seq2seq, task-relation |
0 |
Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling |
Koki Washio, Satoshi Sekine, Tsuneaki Kato |
https://www.aclweb.org/anthology/D19-1357.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-seq2seq, task-tree |
0 |
Data Augmentation with Atomic Templates for Spoken Language Understanding |
Zijian Zhao, Su Zhu, Kai Yu |
https://www.aclweb.org/anthology/D19-1375.pdf |
2019 |
EMNLP |
# norm-batch, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-fasttext, pre-elmo, pre-bert, nondif-gumbelsoftmax, task-textclass, task-seq2seq, task-relation, task-lexicon |
0 |
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition |
Ting-Yun Chang, Yun-Nung Chen |
https://www.aclweb.org/anthology/D19-1627.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, train-active, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-condlm, task-seq2seq |
14 |
Learning to Speak and Act in a Fantasy Text Adventure Game |
Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston |
https://www.aclweb.org/anthology/D19-1062.pdf |
2019 |
EMNLP |
# arch-rnn, arch-memo, comb-ensemble |
1 |
Fact-Checking Meets Fauxtography: Verifying Claims About Images |
Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev |
https://www.aclweb.org/anthology/D19-1216.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-gru, arch-att, arch-memo, pre-word2vec, latent-vae |
0 |
A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation |
Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang, Ruifang Wang |
https://www.aclweb.org/anthology/D19-1200.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension |
Todor Mihaylov, Anette Frank |
https://www.aclweb.org/anthology/D19-1257.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation |
0 |
Partners in Crime: Multi-view Sequential Inference for Movie Understanding |
Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen |
https://www.aclweb.org/anthology/D19-1212.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq |
1 |
Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel |
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov |
https://www.aclweb.org/anthology/D19-1443.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Dive into Deep Learning for Natural Language Processing |
Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander Smola |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree |
6 |
An End-to-End Generative Architecture for Paraphrase Generation |
Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin |
https://www.aclweb.org/anthology/D19-1309.pdf |
2019 |
EMNLP |
# optim-adam, 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, optim-adam, optim-projection, train-augment, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-word2vec, pre-skipthought, pre-bert, task-textclass, task-textpair, task-seq2seq |
0 |
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach |
Zhenjie Zhao, Xiaojuan Ma |
https://www.aclweb.org/anthology/D19-1408.pdf |
2019 |
EMNLP |
# arch-rnn, arch-cnn, pre-glove |
0 |
Learning to Bootstrap for Entity Set Expansion |
Lingyong Yan, Xianpei Han, Le Sun, Ben He |
https://www.aclweb.org/anthology/D19-1028.pdf |
2019 |
EMNLP |
# train-transfer, arch-rnn, arch-att, comb-ensemble, pre-bert, task-extractive, task-lm, task-cloze |
0 |
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions |
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang |
https://www.aclweb.org/anthology/D19-1291.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-seq2seq, task-tree |
0 |
Asking Clarification Questions in Knowledge-Based Question Answering |
Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun |
https://www.aclweb.org/anthology/D19-1172.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding |
Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu |
https://www.aclweb.org/anthology/D19-1097.pdf |
2019 |
EMNLP |
# pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-bert, loss-triplet |
0 |
Improving Answer Selection and Answer Triggering using Hard Negatives |
Sawan Kumar, Shweta Garg, Kartik Mehta, Nikhil Rasiwasia |
https://www.aclweb.org/anthology/D19-1604.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-coverage, pre-glove, pre-bert, struct-crf, task-textclass |
0 |
Detecting Causal Language Use in Science Findings |
Bei Yu, Yingya Li, Jun Wang |
https://www.aclweb.org/anthology/D19-1473.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, pre-glove, pre-bert, task-textpair, task-spanlab, task-seq2seq |
1 |
Better Rewards Yield Better Summaries: Learning to Summarise Without References |
Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1307.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, pre-glove, task-relation |
0 |
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System |
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan |
https://www.aclweb.org/anthology/D19-3001.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-gru, latent-vae, latent-topic, task-seq2seq |
0 |
Variational Hierarchical User-based Conversation Model |
JinYeong Bak, Alice Oh |
https://www.aclweb.org/anthology/D19-1202.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Data Collection and End-to-End Learning for Conversational AI |
Tsung-Hsien Wen, Pei-Hao Su, Paweł Budzianowski, Iñigo Casanueva, Ivan Vulić |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, 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-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-copy, comb-ensemble, pre-glove, latent-vae, task-relation, task-tree, task-graph, task-lexicon |
0 |
Semantic graph parsing with recurrent neural network DAG grammars |
Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1278.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-bilinear, arch-coverage, search-beam, task-extractive, task-seq2seq |
0 |
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing |
Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1388.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-bert, task-textpair, task-seqlab, task-lm |
0 |
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis |
Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu |
https://www.aclweb.org/anthology/D19-3017.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-active, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq |
19 |
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks |
Jason Wei, Kai Zou |
https://www.aclweb.org/anthology/D19-1670.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq |
0 |
Adaptive Parameterization for Neural Dialogue Generation |
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin |
https://www.aclweb.org/anthology/D19-1188.pdf |
2019 |
EMNLP |
# arch-rnn, arch-coverage, task-seqlab, task-tree |
0 |
Entity resolution for noisy ASR transcripts |
Arushi Raghuvanshi, Vijay Ramakrishnan, Varsha Embar, Lucien Carroll, Karthik Raghunathan |
https://www.aclweb.org/anthology/D19-3011.pdf |
2019 |
EMNLP |
# train-mll, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq, task-tree |
0 |
Towards Understanding Neural Machine Translation with Word Importance |
Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu, Shuming Shi |
https://www.aclweb.org/anthology/D19-1088.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 |
# reg-stopping, train-mtl, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-hmm, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Similarity Based Auxiliary Classifier for Named Entity Recognition |
Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong |
https://www.aclweb.org/anthology/D19-1105.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, arch-rnn, arch-gru, arch-att, pre-word2vec, pre-elmo, task-condlm |
2 |
Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts |
Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran |
https://www.aclweb.org/anthology/D19-1469.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-glove, task-textclass, task-seq2seq |
0 |
Robust Text Classifier on Test-Time Budgets |
Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama |
https://www.aclweb.org/anthology/D19-1108.pdf |
2019 |
EMNLP |
# 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, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove, task-textpair |
0 |
Modeling the Relationship between User Comments and Edits in Document Revision |
Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, ChangTien Lu |
https://www.aclweb.org/anthology/D19-1505.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-bert, loss-cca, task-seq2seq |
0 |
Dialog Intent Induction with Deep Multi-View Clustering |
Hugh Perkins, Yi Yang |
https://www.aclweb.org/anthology/D19-1413.pdf |
2019 |
EMNLP |
# arch-rnn, arch-att, task-seqlab, task-seq2seq, task-alignment |
0 |
Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach |
Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat Seng Chua |
https://www.aclweb.org/anthology/D19-1087.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, task-textclass, task-lm |
0 |
Label-Specific Document Representation for Multi-Label Text Classification |
Lin Xiao, Xin Huang, Boli Chen, Liping Jing |
https://www.aclweb.org/anthology/D19-1044.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-glove, task-textclass, task-seq2seq |
0 |
Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis |
Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang |
https://www.aclweb.org/anthology/D19-1343.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, search-viterbi, pre-word2vec, pre-skipthought, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation |
0 |
Learning to Infer Entities, Properties and their Relations from Clinical Conversations |
Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran |
https://www.aclweb.org/anthology/D19-1503.pdf |
2019 |
EMNLP |
# train-mll, arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-bert, latent-topic, task-textclass, task-textpair |
0 |
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach |
Wenpeng Yin, Jamaal Hay, Dan Roth |
https://www.aclweb.org/anthology/D19-1404.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information |
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee |
https://www.aclweb.org/anthology/D19-1232.pdf |
2019 |
EMNLP |
# arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, task-seq2seq |
0 |
Multi-agent Learning for Neural Machine Translation |
Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang |
https://www.aclweb.org/anthology/D19-1079.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree |
0 |
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks |
Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon |
https://www.aclweb.org/anthology/D19-1183.pdf |
2019 |
EMNLP |
# optim-adam, 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, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-condlm, task-seq2seq |
0 |
Compositional Generalization for Primitive Substitutions |
Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness |
https://www.aclweb.org/anthology/D19-1438.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping |
Jian Ni, Radu Florian |
https://www.aclweb.org/anthology/D19-1038.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-cca, task-lm, task-seq2seq, task-cloze |
1 |
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives |
Elena Voita, Rico Sennrich, Ivan Titov |
https://www.aclweb.org/anthology/D19-1448.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-spanlab, task-lm, task-seq2seq, task-cloze |
0 |
Learning with Limited Data for Multilingual Reading Comprehension |
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee |
https://www.aclweb.org/anthology/D19-1283.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq |
0 |
Select and Attend: Towards Controllable Content Selection in Text Generation |
Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine |
https://www.aclweb.org/anthology/D19-1054.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq |
0 |
Generating Classical Chinese Poems from Vernacular Chinese |
Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu |
https://www.aclweb.org/anthology/D19-1637.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Discreteness in Neural Natural Language Processing |
Lili Mou, Hao Zhou, Lei Li |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, latent-vae, task-seqlab, task-lm, task-seq2seq, task-tree |
0 |
Latent Part-of-Speech Sequences for Neural Machine Translation |
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian |
https://www.aclweb.org/anthology/D19-1072.pdf |
2019 |
EMNLP |
# optim-adam, 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, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
49 |
bib (full) |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, search-beam, adv-train, task-lm, task-condlm, task-seq2seq, task-relation |
0 |
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation |
Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1501.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, pre-bert |
0 |
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking |
Matthew Henderson, Ivan Vulić, Iñigo Casanueva, Paweł Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su |
https://www.aclweb.org/anthology/D19-3031.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Processing and Understanding Mixed Language Data |
Monojit Choudhury, Anirudh Srinivasan, Sandipan Dandapat |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer |
1 |
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor |
Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency, Mohammed (Ehsan) Hoque |
https://www.aclweb.org/anthology/D19-1211.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, adv-examp, adv-train, task-condlm, task-seq2seq |
8 |
Attention is not not Explanation |
Sarah Wiegreffe, Yuval Pinter |
https://www.aclweb.org/anthology/D19-1002.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, task-seq2seq |
1 |
Controlling Text Complexity in Neural Machine Translation |
Sweta Agrawal, Marine Carpuat |
https://www.aclweb.org/anthology/D19-1166.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-gru, arch-att, arch-bilinear, adv-examp, task-lm, task-condlm, task-seq2seq |
0 |
TIGEr: Text-to-Image Grounding for Image Caption Evaluation |
Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao |
https://www.aclweb.org/anthology/D19-1220.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, nondif-gumbelsoftmax, loss-svd, task-lm, task-seq2seq |
0 |
MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model |
Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh |
https://www.aclweb.org/anthology/D19-1529.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, search-beam, adv-train, task-seq2seq |
0 |
Towards Controllable and Personalized Review Generation |
Pan Li, Alexander Tuzhilin |
https://www.aclweb.org/anthology/D19-1319.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, optim-projection, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, search-greedy, search-beam, pre-elmo, pre-bert, nondif-reinforce, task-textpair, task-seqlab, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering |
Shiyue Zhang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1253.pdf |
2019 |
EMNLP |
# optim-adam, 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 |
# arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation, task-graph |
0 |
Self-Attention with Structural Position Representations |
Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi |
https://www.aclweb.org/anthology/D19-1145.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, struct-crf, task-lm, task-seq2seq |
0 |
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots |
Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab |
https://www.aclweb.org/anthology/D19-1127.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-word2vec, task-alignment |
0 |
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots |
Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu |
https://www.aclweb.org/anthology/D19-1011.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-copy, task-seq2seq |
0 |
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks |
Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang |
https://www.aclweb.org/anthology/D19-1463.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-seq2seq |
0 |
Sequential Learning of Convolutional Features for Effective Text Classification |
Avinash Madasu, Vijjini Anvesh Rao |
https://www.aclweb.org/anthology/D19-1567.pdf |
2019 |
EMNLP |
# optim-adadelta, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, task-relation |
0 |
Event Detection with Multi-Order Graph Convolution and Aggregated Attention |
Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng |
https://www.aclweb.org/anthology/D19-1582.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, arch-att, pre-glove, struct-crf, loss-nce, task-lm, task-seq2seq |
0 |
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs |
Dongyeop Kang, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1589.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq |
1 |
On NMT Search Errors and Model Errors: Cat Got Your Tongue? |
Felix Stahlberg, Bill Byrne |
https://www.aclweb.org/anthology/D19-1331.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage |
0 |
Charge-Based Prison Term Prediction with Deep Gating Network |
Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding |
https://www.aclweb.org/anthology/D19-1667.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-bert, adv-examp, latent-vae, task-textclass, task-lm, task-seq2seq, task-relation |
0 |
Latent-Variable Generative Models for Data-Efficient Text Classification |
Xiaoan Ding, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1048.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq |
0 |
Improving Question Generation With to the Point Context |
Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/D19-1317.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, search-beam, task-lm |
0 |
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study |
Aixiu An, Peng Qian, Ethan Wilcox, Roger Levy |
https://www.aclweb.org/anthology/D19-1287.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, arch-rnn, arch-gru, arch-att, pre-glove, task-seq2seq |
0 |
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations |
Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1199.pdf |
2019 |
EMNLP |
# optim-adadelta, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-subword, pre-glove, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Rethinking Attribute Representation and Injection for Sentiment Classification |
Reinald Kim Amplayo |
https://www.aclweb.org/anthology/D19-1562.pdf |
2019 |
EMNLP |
# optim-adadelta, reg-stopping, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-bert, task-textclass, task-seq2seq |
0 |
Enhancing Local Feature Extraction with Global Representation for Neural Text Classification |
Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao |
https://www.aclweb.org/anthology/D19-1047.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-lm, task-seq2seq |
0 |
uniblock: Scoring and Filtering Corpus with Unicode Block Information |
Yingbo Gao, Weiyue Wang, Hermann Ney |
https://www.aclweb.org/anthology/D19-1133.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
ARAML: A Stable Adversarial Training Framework for Text Generation |
Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu |
https://www.aclweb.org/anthology/D19-1436.pdf |
2019 |
EMNLP |
# optim-adam, 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, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq |
0 |
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer |
Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao |
https://www.aclweb.org/anthology/D19-1365.pdf |
2019 |
EMNLP |
# 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 |
# arch-rnn, arch-att, search-beam, latent-vae, task-extractive, task-lm, task-seq2seq |
1 |
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle |
Peter West, Ari Holtzman, Jan Buys, Yejin Choi |
https://www.aclweb.org/anthology/D19-1389.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, norm-gradient, pool-mean, arch-rnn, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-vae, task-seq2seq |
0 |
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model |
Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu |
https://www.aclweb.org/anthology/D19-1321.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, search-beam, pre-bert, task-lm, task-seq2seq, task-relation |
0 |
Text Genre and Training Data Size in Human-like Parsing |
John Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan |
https://www.aclweb.org/anthology/D19-1594.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass |
0 |
Using Clinical Notes with Time Series Data for ICU Management |
Swaraj Khadanga, Karan Aggarwal, Shafiq Joty, Jaideep Srivastava |
https://www.aclweb.org/anthology/D19-1678.pdf |
2019 |
EMNLP |
# reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext |
0 |
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization |
Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si |
https://www.aclweb.org/anthology/D19-1237.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, pool-max, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, task-textclass, task-seq2seq |
1 |
Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification |
Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu |
https://www.aclweb.org/anthology/D19-1551.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, task-seqlab, task-seq2seq |
0 |
Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration |
Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, Xiaojiang Liu |
https://www.aclweb.org/anthology/D19-1191.pdf |
2019 |
EMNLP |
# optim-sgd, arch-rnn, arch-att, arch-coverage, struct-hmm, task-tree |
0 |
EUSP: An Easy-to-Use Semantic Parsing PlatForm |
Bo An, Chen Bo, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/D19-3012.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, loss-nce, task-textclass, task-textpair, task-lm, task-cloze |
0 |
Multi-label Categorization of Accounts of Sexism using a Neural Framework |
Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma |
https://www.aclweb.org/anthology/D19-1174.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gcnn, arch-cnn, arch-att, arch-memo, pre-glove |
1 |
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation |
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh |
https://www.aclweb.org/anthology/D19-1015.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation |
0 |
Recurrent Positional Embedding for Neural Machine Translation |
Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita |
https://www.aclweb.org/anthology/D19-1139.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, reg-patience, reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-coverage, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seqlab, task-seq2seq |
0 |
Deep Copycat Networks for Text-to-Text Generation |
Julia Ive, Pranava Madhyastha, Lucia Specia |
https://www.aclweb.org/anthology/D19-1318.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-residual, arch-coverage, pre-glove, task-textpair, task-lm, task-relation, task-tree |
0 |
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling |
Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin |
https://www.aclweb.org/anthology/D19-1114.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, meta-arch |
1 |
RNN Architecture Learning with Sparse Regularization |
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1110.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, pre-glove, task-condlm, task-seq2seq, task-relation |
0 |
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks |
Chen Zhang, Qiuchi Li, Dawei Song |
https://www.aclweb.org/anthology/D19-1464.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, 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 |
# optim-adam, optim-projection, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass, task-seq2seq |
1 |
Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification |
Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma |
https://www.aclweb.org/anthology/D19-1043.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, comb-ensemble, adv-feat, adv-train, task-lm, task-seq2seq |
0 |
Pushing the Limits of Low-Resource Morphological Inflection |
Antonios Anastasopoulos, Graham Neubig |
https://www.aclweb.org/anthology/D19-1091.pdf |
2019 |
EMNLP |
# optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, nondif-reinforce, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models |
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano |
https://www.aclweb.org/anthology/D19-1320.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm |
0 |
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/D19-1260.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-bert |
1 |
A deep-learning framework to detect sarcasm targets |
Jasabanta Patro, Srijan Bansal, Animesh Mukherjee |
https://www.aclweb.org/anthology/D19-1663.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, pre-glove, adv-train, task-textpair, task-spanlab, meta-arch |
3 |
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1455.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-gru, arch-att, pre-glove, task-seq2seq |
0 |
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference |
Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu |
https://www.aclweb.org/anthology/D19-1240.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, pre-bert, task-seq2seq, task-relation, task-tree |
0 |
Leveraging Dependency Forest for Neural Medical Relation Extraction |
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su |
https://www.aclweb.org/anthology/D19-1020.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, task-seq2seq |
0 |
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation |
Wanyu Du, Yangfeng Ji |
https://www.aclweb.org/anthology/D19-1619.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq |
0 |
Reading Like HER: Human Reading Inspired Extractive Summarization |
Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He |
https://www.aclweb.org/anthology/D19-1300.pdf |
2019 |
EMNLP |
# optim-adadelta, arch-rnn, arch-lstm, arch-att, arch-copy, task-textclass, task-seq2seq |
0 |
SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence |
Jun-U Park, Sang-Ki Ko, Marco Cognetta, Yo-Sub Han |
https://www.aclweb.org/anthology/D19-1677.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, search-beam, task-spanlab, task-lm, task-seq2seq |
1 |
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation |
Ze Yang, Can Xu, Wei Wu, Zhoujun Li |
https://www.aclweb.org/anthology/D19-1512.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, task-spanlab, task-seq2seq |
0 |
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs |
Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee |
https://www.aclweb.org/anthology/D19-1194.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 |
# optim-projection, train-mll, arch-rnn, arch-cnn, arch-att, arch-transformer, task-condlm, task-seq2seq |
0 |
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations |
Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez |
https://www.aclweb.org/anthology/D19-3026.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-sgd, optim-adam, norm-gradient, pool-max, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-lm, task-seq2seq |
0 |
Hierarchy Response Learning for Neural Conversation Generation |
Bo Zhang, Xiaoming Zhang |
https://www.aclweb.org/anthology/D19-1186.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, norm-batch, pool-mean, arch-rnn, arch-cnn |
0 |
Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting |
Jaejun Lee, Raphael Tang, Jimmy Lin |
https://www.aclweb.org/anthology/D19-3016.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, task-condlm, task-seq2seq |
0 |
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning |
Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma |
https://www.aclweb.org/anthology/D19-1315.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, nondif-reinforce, task-extractive, task-lm, task-seq2seq |
0 |
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning |
Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung |
https://www.aclweb.org/anthology/D19-1303.pdf |
2019 |
EMNLP |
# optim-adam, norm-layer, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, latent-topic, task-lm, task-seq2seq |
1 |
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations |
Peixiang Zhong, Di Wang, Chunyan Miao |
https://www.aclweb.org/anthology/D19-1016.pdf |
2019 |
EMNLP |
# 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 |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-lm, task-seq2seq |
0 |
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator |
Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu, Shou-De Lin |
https://www.aclweb.org/anthology/D19-3008.pdf |
2019 |
EMNLP |
# optim-projection, arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-bert, task-extractive, task-seq2seq |
0 |
Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization |
Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1327.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph |
0 |
Enhancing AMR-to-Text Generation with Dual Graph Representations |
Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1314.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, nondif-reinforce, task-spanlab, task-condlm, task-seq2seq |
0 |
Let’s Ask Again: Refine Network for Automatic Question Generation |
Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran |
https://www.aclweb.org/anthology/D19-1326.pdf |
2019 |
EMNLP |
# train-mtl, arch-rnn, arch-lstm, arch-att, arch-memo, task-relation, task-tree |
0 |
Towards Making a Dependency Parser See |
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/D19-1160.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Semantic Relatedness Based Re-ranker for Text Spotting |
Ahmed Sabir, Francesc Moreno, Lluís Padró |
https://www.aclweb.org/anthology/D19-1346.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-gru, arch-att, adv-train, latent-vae, task-lm, task-seq2seq |
0 |
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training |
Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin |
https://www.aclweb.org/anthology/D19-1366.pdf |
2019 |
EMNLP |
# 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 |
# train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, task-textclass, task-relation |
0 |
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification |
Shengli Sun, Qingfeng Sun, Kevin Zhou, Tengchao Lv |
https://www.aclweb.org/anthology/D19-1045.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, task-textclass |
0 |
A Label Informative Wide & Deep Classifier for Patents and Papers |
Muyao Niu, Jie Cai |
https://www.aclweb.org/anthology/D19-1344.pdf |
2019 |
EMNLP |
# optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, nondif-reinforce |
0 |
Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews |
Miao Fan, Chao Feng, Mingming Sun, Ping Li |
https://www.aclweb.org/anthology/D19-1177.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, task-condlm |
1 |
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts |
Sandro Pezzelle, Raquel Fernández |
https://www.aclweb.org/anthology/D19-1285.pdf |
2019 |
EMNLP |
# optim-adagrad, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq, task-graph |
0 |
Concept Pointer Network for Abstractive Summarization |
Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou |
https://www.aclweb.org/anthology/D19-1304.pdf |
2019 |
EMNLP |
# optim-sgd, train-mll, arch-rnn, arch-subword, arch-transformer, search-beam, pre-bert, task-seq2seq |
0 |
Machine Translation for Machines: the Sentiment Classification Use Case |
Amirhossein Tebbifakhr, Luisa Bentivogli, Matteo Negri, Marco Turchi |
https://www.aclweb.org/anthology/D19-1140.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, arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq |
0 |
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag |
Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang, Chunhong Pan |
https://www.aclweb.org/anthology/D19-1213.pdf |
2019 |
EMNLP |
# optim-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 |
# train-mll, train-augment, arch-rnn, arch-cnn, arch-att, arch-coverage, arch-subword, pre-fasttext, task-relation |
0 |
Weakly Supervised Multilingual Causality Extraction from Wikipedia |
Chikara Hashimoto |
https://www.aclweb.org/anthology/D19-1296.pdf |
2019 |
EMNLP |
# optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Shallow Domain Adaptive Embeddings for Sentiment Analysis |
Prathusha K Sarma, Yingyu Liang, William Sethares |
https://www.aclweb.org/anthology/D19-1557.pdf |
2019 |
EMNLP |
# norm-gradient, arch-rnn, arch-lstm, arch-att, struct-crf, task-seqlab, task-seq2seq |
0 |
Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model |
Hyun-Je Song, Seong-Bae Park |
https://www.aclweb.org/anthology/D19-1150.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-memo, arch-transformer |
0 |
Video Dialog via Progressive Inference and Cross-Transformer |
Weike Jin, Zhou Zhao, Mao Gu, Jun Xiao, Furu Wei, Yueting Zhuang |
https://www.aclweb.org/anthology/D19-1217.pdf |
2019 |
EMNLP |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq |
0 |
ParaQG: A System for Generating Questions and Answers from Paragraphs |
Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li |
https://www.aclweb.org/anthology/D19-3030.pdf |
2019 |
EMNLP |
# reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, pre-word2vec, latent-vae, latent-topic |
1 |
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification |
Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li |
https://www.aclweb.org/anthology/D19-1488.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-lm, meta-arch |
0 |
Sampling Bias in Deep Active Classification: An Empirical Study |
Ameya Prabhu, Charles Dognin, Maneesh Singh |
https://www.aclweb.org/anthology/D19-1417.pdf |
2019 |
EMNLP |
# reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, struct-crf, adv-train |
0 |
Emotion Detection with Neural Personal Discrimination |
Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang |
https://www.aclweb.org/anthology/D19-1552.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-gru, nondif-reinforce, task-seq2seq |
3 |
EGG: a toolkit for research on Emergence of lanGuage in Games |
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, Marco Baroni |
https://www.aclweb.org/anthology/D19-3010.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze |
4 |
Revealing the Dark Secrets of BERT |
Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky |
https://www.aclweb.org/anthology/D19-1445.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-bert, adv-examp, task-textpair, task-spanlab, task-lm, task-seq2seq, task-tree |
2 |
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text |
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton |
https://www.aclweb.org/anthology/D19-1458.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, search-beam, pre-word2vec, struct-crf, latent-vae, task-seqlab, task-lm, task-relation, task-tree |
0 |
Neural Generative Rhetorical Structure Parsing |
Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos |
https://www.aclweb.org/anthology/D19-1233.pdf |
2019 |
EMNLP |
# optim-adam, 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-adam, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-viterbi, struct-crf, task-seqlab |
1 |
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction |
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian |
https://www.aclweb.org/anthology/D19-1032.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-textpair, task-lm |
0 |
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation |
Dong Qian, William K. Cheung |
https://www.aclweb.org/anthology/D19-1416.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, 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 |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt |
0 |
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems |
Jia Li, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1128.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-elmo, task-textpair, task-seq2seq |
0 |
Query-focused Scenario Construction |
Su Wang, Greg Durrett, Katrin Erk |
https://www.aclweb.org/anthology/D19-1273.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq |
1 |
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis |
Hao Li, Wei Lu |
https://www.aclweb.org/anthology/D19-1550.pdf |
2019 |
EMNLP |
# optim-adam, 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 |
# 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-labelsmooth, norm-batch, norm-gradient, pool-max, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-cloze, task-relation |
2 |
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow |
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1437.pdf |
2019 |
EMNLP |
# optim-projection, train-augment, pool-mean, arch-rnn, arch-lstm, arch-att, task-tree |
2 |
Executing Instructions in Situated Collaborative Interactions |
Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang, Yoav Artzi |
https://www.aclweb.org/anthology/D19-1218.pdf |
2019 |
EMNLP |
# optim-sgd, 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, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment |
0 |
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator |
Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow |
https://www.aclweb.org/anthology/D19-1390.pdf |
2019 |
EMNLP |
# arch-rnn, arch-gru, arch-bigru, arch-gnn, arch-att, task-seq2seq |
0 |
CaRe: Open Knowledge Graph Embeddings |
Swapnil Gupta, Sreyash Kenkre, Partha Talukdar |
https://www.aclweb.org/anthology/D19-1036.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, search-beam, nondif-reinforce, task-relation |
0 |
Collaborative Policy Learning for Open Knowledge Graph Reasoning |
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren |
https://www.aclweb.org/anthology/D19-1269.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, nondif-reinforce, adv-train, latent-vae, task-lm |
0 |
Learning Rhyming Constraints using Structured Adversaries |
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/D19-1621.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, latent-topic, task-extractive, task-seq2seq |
0 |
Subtopic-driven Multi-Document Summarization |
Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy |
https://www.aclweb.org/anthology/D19-1311.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 |
# reg-patience, arch-rnn, arch-gru, arch-att, latent-vae, task-textpair, task-seq2seq |
0 |
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites |
Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov |
https://www.aclweb.org/anthology/D19-1406.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-sgd, train-transfer, arch-rnn, arch-gru, arch-att, pre-word2vec, latent-vae, task-seq2seq |
0 |
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders |
Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1201.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seq2seq, task-tree |
2 |
Learning Programmatic Idioms for Scalable Semantic Parsing |
Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1545.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, struct-crf, task-textclass, task-seq2seq |
0 |
A System for Diacritizing Four Varieties of Arabic |
Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, Mohamed Eldesouki, Younes Samih, Hassan Sajjad |
https://www.aclweb.org/anthology/D19-3037.pdf |
2019 |
EMNLP |
# reg-dropout, reg-stopping, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
Joey NMT: A Minimalist NMT Toolkit for Novices |
Julia Kreutzer, Joost Bastings, Stefan Riezler |
https://www.aclweb.org/anthology/D19-3019.pdf |
2019 |
EMNLP |
# pool-max, arch-rnn, arch-cnn, arch-att, pre-word2vec, latent-topic, task-textclass |
0 |
The Myth of Double-Blind Review Revisited: ACL vs. EMNLP |
Cornelia Caragea, Ana Uban, Liviu P. Dinu |
https://www.aclweb.org/anthology/D19-1236.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-residual, search-greedy, search-beam, latent-vae, task-textclass, task-condlm, task-seq2seq |
0 |
Exploring Diverse Expressions for Paraphrase Generation |
Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu |
https://www.aclweb.org/anthology/D19-1313.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-glove |
1 |
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots |
Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu |
https://www.aclweb.org/anthology/D19-1193.pdf |
2019 |
EMNLP |
# optim-sgd, init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, search-viterbi, struct-crf, task-seqlab, task-relation |
0 |
Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph |
Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen |
https://www.aclweb.org/anthology/D19-1508.pdf |
2019 |
EMNLP |
# reg-dropout, reg-stopping, reg-patience, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-textpair, task-spanlab |
0 |
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims |
Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen |
https://www.aclweb.org/anthology/D19-1475.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Graph-based Deep Learning in Natural Language Processing |
Shikhar Vashishth, Naganand Yadati, Partha Talukdar |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, meta-arch |
0 |
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition |
Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu |
https://www.aclweb.org/anthology/D19-1367.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq |
1 |
Neural Naturalist: Generating Fine-Grained Image Comparisons |
Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie |
https://www.aclweb.org/anthology/D19-1065.pdf |
2019 |
EMNLP |
# train-parallel, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq |
4 |
Adaptively Sparse Transformers |
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins |
https://www.aclweb.org/anthology/D19-1223.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-att, latent-topic, task-textpair |
0 |
Neural Topic Model with Reinforcement Learning |
Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He |
https://www.aclweb.org/anthology/D19-1350.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, adv-train, task-lm, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction |
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi |
https://www.aclweb.org/anthology/D19-1414.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-cnn, arch-att, arch-memo, arch-copy, task-extractive, task-seq2seq |
4 |
Neural Text Summarization: A Critical Evaluation |
Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher |
https://www.aclweb.org/anthology/D19-1051.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 |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-spanlab |
0 |
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network |
Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1602.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, 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 |
# optim-adam, train-mll, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-spanlab, task-lm, task-seq2seq, task-cloze |
1 |
Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs |
Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes |
https://www.aclweb.org/anthology/D19-1428.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, 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 |
# train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-bert, task-extractive |
1 |
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses |
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis |
https://www.aclweb.org/anthology/D19-1620.pdf |
2019 |
EMNLP |
# train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, pre-skipthought, task-seq2seq |
0 |
A Modular Architecture for Unsupervised Sarcasm Generation |
Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan |
https://www.aclweb.org/anthology/D19-1636.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, 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, 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, train-transfer, arch-rnn, arch-gru, arch-att, task-lm, task-seq2seq |
0 |
How to Build User Simulators to Train RL-based Dialog Systems |
Weiyan Shi, Kun Qian, Xuewei Wang, Zhou Yu |
https://www.aclweb.org/anthology/D19-1206.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 |
# arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-seqlab, task-relation |
0 |
Talk2Car: Taking Control of Your Self-Driving Car |
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens |
https://www.aclweb.org/anthology/D19-1215.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, pre-glove, task-seqlab |
0 |
“A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia |
Michel Schwab, Robert Jäschke, Frank Fischer, Jannik Strötgen |
https://www.aclweb.org/anthology/D19-1647.pdf |
2019 |
EMNLP |
# optim-adam, 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, arch-rnn, arch-gru, search-beam, latent-vae, latent-topic, task-lm, task-seq2seq |
0 |
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation |
Min Zeng, Yisen Wang, Yuan Luo |
https://www.aclweb.org/anthology/D19-1124.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, train-augment, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq, task-alignment |
0 |
A Discriminative Neural Model for Cross-Lingual Word Alignment |
Elias Stengel-Eskin, Tzu-ray Su, Matt Post, Benjamin Van Durme |
https://www.aclweb.org/anthology/D19-1084.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, struct-cfg, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree |
0 |
PaLM: A Hybrid Parser and Language Model |
Hao Peng, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1376.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-bert, struct-crf, task-extractive, task-seq2seq, task-relation |
0 |
Extractive Summarization of Long Documents by Combining Global and Local Context |
Wen Xiao, Giuseppe Carenini |
https://www.aclweb.org/anthology/D19-1298.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-textpair, task-seq2seq |
0 |
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder |
Li Du, Xiao Ding, Ting Liu, Zhongyang Li |
https://www.aclweb.org/anthology/D19-1270.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# reg-dropout, reg-norm, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training |
Giannis Karamanolakis, Daniel Hsu, Luis Gravano |
https://www.aclweb.org/anthology/D19-1468.pdf |
2019 |
EMNLP |
# optim-projection, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, task-seq2seq, task-tree |
0 |
Look-up and Adapt: A One-shot Semantic Parser |
Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell |
https://www.aclweb.org/anthology/D19-1104.pdf |
2019 |
EMNLP |
# 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, init-glorot, reg-dropout, reg-stopping, train-mll, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-seq2seq |
0 |
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification |
Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun |
https://www.aclweb.org/anthology/D19-1554.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, pre-glove, task-seqlab, task-seq2seq |
0 |
Extracting Possessions from Social Media: Images Complement Language |
Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco |
https://www.aclweb.org/anthology/D19-1061.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-cloze |
3 |
Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs |
Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman |
https://www.aclweb.org/anthology/D19-1286.pdf |
2019 |
EMNLP |
# reg-norm, arch-rnn, arch-gru, latent-vae, task-seq2seq |
1 |
A Benchmark Dataset for Learning to Intervene in Online Hate Speech |
Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, William Yang Wang |
https://www.aclweb.org/anthology/D19-1482.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-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 |
# optim-sgd, optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, pre-word2vec, pre-fasttext, task-textclass, task-seq2seq |
0 |
ProSeqo: Projection Sequence Networks for On-Device Text Classification |
Zornitsa Kozareva, Sujith Ravi |
https://www.aclweb.org/anthology/D19-1402.pdf |
2019 |
EMNLP |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, struct-cfg, task-lm, task-seq2seq, task-cloze, task-tree |
0 |
Tree Transformer: Integrating Tree Structures into Self-Attention |
Yaushian Wang, Hung-Yi Lee, Yun-Nung Chen |
https://www.aclweb.org/anthology/D19-1098.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-mtl, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-coverage, pre-word2vec, latent-topic, task-spanlab, task-seq2seq |
0 |
A Neural Citation Count Prediction Model based on Peer Review Text |
Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen |
https://www.aclweb.org/anthology/D19-1497.pdf |
2019 |
EMNLP |
# train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq |
0 |
Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains |
Wei Shi, Vera Demberg |
https://www.aclweb.org/anthology/D19-1586.pdf |
2019 |
EMNLP |
# arch-rnn, arch-att, pre-bert, task-extractive, task-seq2seq |
1 |
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization |
Siyao Li, Deren Lei, Pengda Qin, William Yang Wang |
https://www.aclweb.org/anthology/D19-1623.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-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-memo, pre-glove |
0 |
A Progressive Model to Enable Continual Learning for Semantic Slot Filling |
Yilin Shen, Xiangyu Zeng, Hongxia Jin |
https://www.aclweb.org/anthology/D19-1126.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, search-beam, task-lm, task-relation, task-tree |
0 |
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal |
Benoit Crabbé, Murielle Fabre, Christophe Pallier |
https://www.aclweb.org/anthology/D19-1106.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-memo, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations |
Mingda Chen, Zewei Chu, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1060.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-elmo, task-lm, task-seq2seq, task-tree |
0 |
A Unified Neural Coherence Model |
Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty, Chi Xu |
https://www.aclweb.org/anthology/D19-1231.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-spanlab, task-seq2seq, task-tree |
0 |
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs |
Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang |
https://www.aclweb.org/anthology/D19-1187.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, task-seqlab, task-seq2seq |
3 |
Multi-Granularity Self-Attention for Neural Machine Translation |
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu |
https://www.aclweb.org/anthology/D19-1082.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm |
0 |
Neural Duplicate Question Detection without Labeled Training Data |
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1171.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-energy, search-sampling, pre-glove, struct-crf, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Autoregressive Text Generation Beyond Feedback Loops |
Florian Schmidt, Stephan Mandt, Thomas Hofmann |
https://www.aclweb.org/anthology/D19-1338.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Mixture Content Selection for Diverse Sequence Generation |
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/D19-1308.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm |
0 |
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization |
Daniel Deutsch, Dan Roth |
https://www.aclweb.org/anthology/D19-1386.pdf |
2019 |
NAA-CL |
# optim-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 |
# optim-adam, init-glorot, arch-rnn, arch-att, arch-coverage, arch-subword, nondif-straightthrough, task-seq2seq |
1 |
Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders |
Cory Shain, Micha Elsner |
https://www.aclweb.org/anthology/N19-1007.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, task-lm |
15 |
The emergence of number and syntax units in LSTM language models |
Yair Lakretz, German Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni |
https://www.aclweb.org/anthology/N19-1002.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-cnn, pre-word2vec, loss-svd, task-textclass, task-relation |
1 |
Vector of Locally Aggregated Embeddings for Text Representation |
Hadi Amiri, Mitra Mohtarami |
https://www.aclweb.org/anthology/N19-1143.pdf |
2019 |
NAA-CL |
# reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, search-beam, task-lm, task-seq2seq, task-tree |
19 |
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout |
Hao Tan, Licheng Yu, Mohit Bansal |
https://www.aclweb.org/anthology/N19-1268.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, struct-crf, task-textclass, task-lm, task-seq2seq |
5 |
Improving Lemmatization of Non-Standard Languages with Joint Learning |
Enrique Manjavacas, Ákos Kádár, Mike Kestemont |
https://www.aclweb.org/anthology/N19-1153.pdf |
2019 |
NAA-CL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, search-beam |
19 |
MuST-C: a Multilingual Speech Translation Corpus |
Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, Marco Turchi |
https://www.aclweb.org/anthology/N19-1202.pdf |
2019 |
NAA-CL |
# optim-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 |
# optim-sgd, optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-glove, task-textclass, task-textpair, task-condlm, task-seq2seq |
59 |
Attention is not Explanation |
Sarthak Jain, Byron C. Wallace |
https://www.aclweb.org/anthology/N19-1357.pdf |
2019 |
NAA-CL |
# optim-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, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, latent-vae, task-lm |
5 |
Document-Level N-ary Relation Extraction with Multiscale Representation Learning |
Robin Jia, Cliff Wong, Hoifung Poon |
https://www.aclweb.org/anthology/N19-1370.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, reg-worddropout, reg-patience, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-subword, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm |
27 |
Pooled Contextualized Embeddings for Named Entity Recognition |
Alan Akbik, Tanja Bergmann, Roland Vollgraf |
https://www.aclweb.org/anthology/N19-1078.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, pre-glove |
0 |
Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition |
Jumayel Islam, Robert E. Mercer, Lu Xiao |
https://www.aclweb.org/anthology/N19-1137.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues |
Sungjoon Park, Donghyun Kim, Alice Oh |
https://www.aclweb.org/anthology/N19-1148.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, latent-vae, task-seq2seq, task-relation |
1 |
Detecting Cybersecurity Events from Noisy Short Text |
Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli |
https://www.aclweb.org/anthology/N19-1138.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, task-lm |
3 |
Recursive Routing Networks: Learning to Compose Modules for Language Understanding |
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen |
https://www.aclweb.org/anthology/N19-1365.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, pre-glove, struct-crf, task-lm, task-seq2seq |
0 |
Early Rumour Detection |
Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau |
https://www.aclweb.org/anthology/N19-1163.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-decay, norm-batch, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, task-lm, task-seq2seq |
23 |
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation |
Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater |
https://www.aclweb.org/anthology/N19-1006.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq |
17 |
Star-Transformer |
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang |
https://www.aclweb.org/anthology/N19-1133.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab |
3 |
GraphIE: A Graph-Based Framework for Information Extraction |
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay |
https://www.aclweb.org/anthology/N19-1082.pdf |
2019 |
NAA-CL |
# optim-adam, 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, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq |
2 |
Jointly Extracting and Compressing Documents with Summary State Representations |
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen |
https://www.aclweb.org/anthology/N19-1397.pdf |
2019 |
NAA-CL |
# optim-adam, 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 |
# optim-adam, optim-projection, reg-dropout, norm-gradient, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-memo, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seq2seq, task-relation |
3 |
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations |
Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang |
https://www.aclweb.org/anthology/N19-1118.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-rnn, arch-lstm, arch-att, search-beam, adv-train, latent-vae, task-condlm, task-seq2seq |
5 |
Answer-based Adversarial Training for Generating Clarification Questions |
Sudha Rao, Hal Daumé III |
https://www.aclweb.org/anthology/N19-1013.pdf |
2019 |
NAA-CL |
# norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm, task-condlm, task-seq2seq |
5 |
Evaluating Text GANs as Language Models |
Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant |
https://www.aclweb.org/anthology/N19-1233.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-textclass, task-relation |
1 |
Topic Spotting using Hierarchical Networks with Self Attention |
Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia |
https://www.aclweb.org/anthology/N19-1376.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-memo, search-beam, struct-cfg, task-lm, task-seq2seq |
0 |
Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar |
Wenchao Du, Alan W Black |
https://www.aclweb.org/anthology/N19-1377.pdf |
2019 |
NAA-CL |
# 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 |
# optim-adam, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-relation |
51 |
Linguistic Knowledge and Transferability of Contextual Representations |
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1112.pdf |
2019 |
NAA-CL |
# reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq |
3 |
Adversarial Training for Weakly Supervised Event Detection |
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li |
https://www.aclweb.org/anthology/N19-1105.pdf |
2019 |
NAA-CL |
# optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, pre-elmo, pre-bert, task-lm |
4 |
Structural Scaffolds for Citation Intent Classification in Scientific Publications |
Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady |
https://www.aclweb.org/anthology/N19-1361.pdf |
2019 |
NAA-CL |
# train-mtl, train-mll, train-transfer, arch-rnn, arch-gru, arch-att, arch-selfatt, adv-train, task-relation, task-tree |
1 |
Robust Semantic Parsing with Adversarial Learning for Domain Generalization |
Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet, Benoît Favre |
https://www.aclweb.org/anthology/N19-2021.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 |
# reg-patience, arch-rnn, arch-gru, pre-glove |
2 |
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters |
Evgeny Kim, Roman Klinger |
https://www.aclweb.org/anthology/N19-1067.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-word2vec, pre-glove, pre-elmo, latent-vae, task-lm, task-seq2seq |
4 |
In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data |
Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood |
https://www.aclweb.org/anthology/N19-2026.pdf |
2019 |
NAA-CL |
# optim-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-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, latent-vae, loss-nce, task-seq2seq |
0 |
Learning to Decipher Hate Symbols |
Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang |
https://www.aclweb.org/anthology/N19-1305.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-glove, task-textpair, task-lm, task-seq2seq |
1 |
Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation |
Wei-Jen Ko, Greg Durrett, Junyi Jessy Li |
https://www.aclweb.org/anthology/N19-1349.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-memo, task-textpair, task-relation, task-graph |
3 |
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM |
Diya Li, Lifu Huang, Heng Ji, Jiawei Han |
https://www.aclweb.org/anthology/N19-1145.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, comb-ensemble |
0 |
Improving Natural Language Interaction with Robots Using Advice |
Nikhil Mehta, Dan Goldwasser |
https://www.aclweb.org/anthology/N19-1195.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-glove, task-textclass |
0 |
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture |
Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama |
https://www.aclweb.org/anthology/N19-1318.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, struct-crf |
0 |
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling |
Yue Chen, John Chen |
https://www.aclweb.org/anthology/N19-2019.pdf |
2019 |
NAA-CL |
# 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 |
# reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, struct-crf, task-textpair, task-seq2seq, task-tree |
1 |
Open Information Extraction from Question-Answer Pairs |
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish |
https://www.aclweb.org/anthology/N19-1239.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-fasttext, loss-svd, task-condlm |
2 |
AudioCaps: Generating Captions for Audios in The Wild |
Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim |
https://www.aclweb.org/anthology/N19-1011.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-memo, pre-glove, loss-nce, task-spanlab, task-lm, task-seq2seq |
0 |
Harry Potter and the Action Prediction Challenge from Natural Language |
David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/N19-1218.pdf |
2019 |
NAA-CL |
# init-glorot, train-mll, train-parallel, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-elmo, task-relation |
2 |
Recursive Subtree Composition in LSTM-Based Dependency Parsing |
Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre |
https://www.aclweb.org/anthology/N19-1159.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, task-extractive, task-seq2seq, task-relation |
4 |
Single Document Summarization as Tree Induction |
Yang Liu, Ivan Titov, Mirella Lapata |
https://www.aclweb.org/anthology/N19-1173.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-stopping, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation |
0 |
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning |
Han Guo, Ramakanth Pasunuru, Mohit Bansal |
https://www.aclweb.org/anthology/N19-1355.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation |
6 |
Guiding Extractive Summarization with Question-Answering Rewards |
Kristjan Arumae, Fei Liu |
https://www.aclweb.org/anthology/N19-1264.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, arch-transformer, pre-word2vec, pre-elmo, pre-bert, pre-use, task-textpair, task-seq2seq, task-tree |
4 |
Evaluating Coherence in Dialogue Systems using Entailment |
Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaiane |
https://www.aclweb.org/anthology/N19-1381.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-projection, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq |
2 |
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition |
Angli Liu, Jingfei Du, Veselin Stoyanov |
https://www.aclweb.org/anthology/N19-1117.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-att, search-beam, adv-train, task-lm, task-condlm, task-seq2seq |
14 |
Unifying Human and Statistical Evaluation for Natural Language Generation |
Tatsunori Hashimoto, Hugh Zhang, Percy Liang |
https://www.aclweb.org/anthology/N19-1169.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 |
# arch-rnn, arch-lstm, arch-bilstm, arch-coverage, loss-nce |
2 |
A Crowdsourced Frame Disambiguation Corpus with Ambiguity |
Anca Dumitrache, Lora Aroyo, Chris Welty |
https://www.aclweb.org/anthology/N19-1224.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, task-lm, task-seq2seq |
1 |
Neural Text Normalization with Subword Units |
Courtney Mansfield, Ming Sun, Yuzong Liu, Ankur Gandhe, Björn Hoffmeister |
https://www.aclweb.org/anthology/N19-2024.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq |
0 |
Automatic learner summary assessment for reading comprehension |
Menglin Xia, Ekaterina Kochmar, Ted Briscoe |
https://www.aclweb.org/anthology/N19-1261.pdf |
2019 |
NAA-CL |
# reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, task-relation |
0 |
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN |
Van-Hien Tran, Van-Thuy Phi, Hiroyuki Shindo, Yuji Matsumoto |
https://www.aclweb.org/anthology/N19-1286.pdf |
2019 |
NAA-CL |
# reg-dropout, reg-stopping, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, search-viterbi, pre-word2vec, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq |
1 |
Benchmarking Approximate Inference Methods for Neural Structured Prediction |
Lifu Tu, Kevin Gimpel |
https://www.aclweb.org/anthology/N19-1335.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph |
8 |
Text Generation from Knowledge Graphs with Graph Transformers |
Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/N19-1238.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm, task-seq2seq |
0 |
Conversation Initiation by Diverse News Contents Introduction |
Satoshi Akasaki, Nobuhiro Kaji |
https://www.aclweb.org/anthology/N19-1400.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-bilstm, arch-memo, task-spanlab, task-lm, task-tree |
0 |
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase |
Kelvin Jiang, Dekun Wu, Hui Jiang |
https://www.aclweb.org/anthology/N19-1028.pdf |
2019 |
NAA-CL |
# optim-sgd, arch-rnn, arch-lstm, arch-cnn, arch-att, struct-hmm, struct-crf, latent-vae |
0 |
A Study of Latent Structured Prediction Approaches to Passage Reranking |
Iryna Haponchyk, Alessandro Moschitti |
https://www.aclweb.org/anthology/N19-1183.pdf |
2019 |
NAA-CL |
# optim-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, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-bert, struct-crf, task-textclass, task-textpair, task-lm, task-seq2seq, task-alignment |
0 |
Alignment over Heterogeneous Embeddings for Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/N19-1274.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-stopping, train-mtl, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, search-viterbi, pre-glove, struct-crf, task-relation, task-tree, task-alignment |
2 |
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling |
Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1259.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, struct-crf |
0 |
Subword-Level Language Identification for Intra-Word Code-Switching |
Manuel Mager, Özlem Çetinoğlu, Katharina Kann |
https://www.aclweb.org/anthology/N19-1201.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-greedy, nondif-gumbelsoftmax, adv-train, task-lm, task-condlm, task-seq2seq |
2 |
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation |
Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do Omri, Ahmad Rashid |
https://www.aclweb.org/anthology/N19-1234.pdf |
2019 |
NAA-CL |
# optim-adam, 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-adadelta, reg-decay, train-mtl, arch-rnn, arch-att, pre-word2vec, struct-crf, latent-vae, latent-topic, task-textclass, task-relation |
0 |
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification |
Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song |
https://www.aclweb.org/anthology/N19-1036.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adadelta, optim-projection, norm-gradient, train-mtl, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, search-beam, task-lm, task-seq2seq |
2 |
Acoustic-to-Word Models with Conversational Context Information |
Suyoun Kim, Florian Metze |
https://www.aclweb.org/anthology/N19-1283.pdf |
2019 |
NAA-CL |
# 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 |
# optim-adam, arch-rnn, arch-lstm, arch-att, task-lm, task-seq2seq |
0 |
Serial Recall Effects in Neural Language Modeling |
Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar, Farhad Oroumchian |
https://www.aclweb.org/anthology/N19-1073.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation |
43 |
A Structural Probe for Finding Syntax in Word Representations |
John Hewitt, Christopher D. Manning |
https://www.aclweb.org/anthology/N19-1419.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-transformer, comb-ensemble, pre-word2vec, latent-vae, task-lm |
0 |
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models |
Yiben Yang, Ji-Ping Wang, Doug Downey |
https://www.aclweb.org/anthology/N19-1330.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, activ-relu, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, task-textclass, task-lm |
3 |
Understanding language-elicited EEG data by predicting it from a fine-tuned language model |
Dan Schwartz, Tom Mitchell |
https://www.aclweb.org/anthology/N19-1005.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation |
7 |
Better, Faster, Stronger Sequence Tagging Constituent Parsers |
David Vilares, Mostafa Abdou, Anders Søgaard |
https://www.aclweb.org/anthology/N19-1341.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, pre-glove, task-spanlab, task-lm, task-seq2seq |
0 |
The Lower The Simpler: Simplifying Hierarchical Recurrent Models |
Chao Wang, Hui Jiang |
https://www.aclweb.org/anthology/N19-1402.pdf |
2019 |
NAA-CL |
# optim-adagrad, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq |
3 |
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation |
Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Mathias Lambert |
https://www.aclweb.org/anthology/N19-2013.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-gru, arch-cnn, arch-att, nondif-reinforce |
0 |
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision |
Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang |
https://www.aclweb.org/anthology/N19-1290.pdf |
2019 |
NAA-CL |
# train-mll, arch-rnn, arch-lstm, arch-att, arch-transformer, struct-hmm, task-lm, task-seq2seq |
0 |
Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language |
Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam |
https://www.aclweb.org/anthology/N19-1322.pdf |
2019 |
NAA-CL |
# optim-sgd, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, search-viterbi, pre-glove, latent-vae, task-lm, task-seq2seq, task-relation |
1 |
Benchmarking Hierarchical Script Knowledge |
Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi |
https://www.aclweb.org/anthology/N19-1412.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, reg-patience, arch-rnn, arch-gru, arch-att, task-textclass, task-seq2seq, task-tree |
4 |
Inferring Which Medical Treatments Work from Reports of Clinical Trials |
Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace |
https://www.aclweb.org/anthology/N19-1371.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-bert, struct-crf |
0 |
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog |
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy |
https://www.aclweb.org/anthology/N19-1055.pdf |
2019 |
NAA-CL |
# init-glorot, arch-rnn, arch-lstm, comb-ensemble, latent-vae, task-textclass, task-lm |
12 |
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing |
Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin |
https://www.aclweb.org/anthology/N19-1021.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, task-lm |
0 |
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems |
Ashwini Challa, Kartikeya Upasani, Anusha Balakrishnan, Rajen Subba |
https://www.aclweb.org/anthology/N19-2027.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, task-lm, task-relation |
6 |
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages |
Shauli Ravfogel, Yoav Goldberg, Tal Linzen |
https://www.aclweb.org/anthology/N19-1356.pdf |
2019 |
NAA-CL |
# optim-projection, train-mll, pool-max, arch-rnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-bert, task-seq2seq |
11 |
Information Aggregation for Multi-Head Attention with Routing-by-Agreement |
Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu |
https://www.aclweb.org/anthology/N19-1359.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-coverage, arch-energy, struct-crf, task-seq2seq |
1 |
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation |
Nikolai Vogler, Craig Stewart, Graham Neubig |
https://www.aclweb.org/anthology/N19-1010.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq |
2 |
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities |
Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov |
https://www.aclweb.org/anthology/N19-1154.pdf |
2019 |
NAA-CL |
# optim-adam, 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, arch-rnn, arch-att, arch-selfatt, arch-subword, pre-fasttext |
5 |
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts |
Timo Schick, Hinrich Schütze |
https://www.aclweb.org/anthology/N19-1048.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, search-beam, task-lm |
9 |
Neural language models as psycholinguistic subjects: Representations of syntactic state |
Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy |
https://www.aclweb.org/anthology/N19-1004.pdf |
2019 |
NAA-CL |
# train-mll, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-word2vec, pre-glove, pre-paravec, pre-skipthought, pre-elmo, task-seq2seq |
0 |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification |
Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova |
https://www.aclweb.org/anthology/N19-1059.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-glove, struct-crf, latent-vae, task-textclass, task-lm, task-seq2seq |
2 |
Strong and Simple Baselines for Multimodal Utterance Embeddings |
Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency |
https://www.aclweb.org/anthology/N19-1267.pdf |
2019 |
NAA-CL |
# optim-adam, 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 |
# optim-adam, optim-projection, train-mtl, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm |
6 |
Massively Multilingual Adversarial Speech Recognition |
Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky |
https://www.aclweb.org/anthology/N19-1009.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-fasttext, latent-vae, task-extractive, task-seq2seq |
9 |
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks |
Byeongchang Kim, Hyunwoo Kim, Gunhee Kim |
https://www.aclweb.org/anthology/N19-1260.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, pre-word2vec, struct-hmm, struct-crf, task-seqlab, task-lm |
0 |
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings |
Yuxiao Ye, Weikang Li, Yue Zhang, Likun Qiu, Jian Sun |
https://www.aclweb.org/anthology/N19-1279.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq |
10 |
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets |
Nelson F. Liu, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1225.pdf |
2019 |
NAA-CL |
# reg-dropout, norm-gradient, train-mtl, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, comb-ensemble, task-seq2seq, task-relation |
0 |
Multi-Task Learning for Japanese Predicate Argument Structure Analysis |
Hikaru Omori, Mamoru Komachi |
https://www.aclweb.org/anthology/N19-1344.pdf |
2019 |
NAA-CL |
# 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-stopping, activ-tanh, arch-rnn, arch-lstm, arch-att, arch-memo, pre-glove, task-seq2seq |
3 |
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding |
Jonggu Kim, Jong-Hyeok Lee |
https://www.aclweb.org/anthology/N19-1372.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-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, arch-rnn, arch-att, latent-topic, loss-nce, task-extractive, task-seq2seq |
0 |
News Article Teaser Tweets and How to Generate Them |
Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger, Hinrich Schütze |
https://www.aclweb.org/anthology/N19-1398.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, reg-norm, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, comb-ensemble, pre-glove, struct-crf, latent-topic, task-extractive |
0 |
Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction |
Animesh Prasad, Min-Yen Kan |
https://www.aclweb.org/anthology/N19-1182.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-active, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear |
0 |
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision |
Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu |
https://www.aclweb.org/anthology/N19-1107.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-att, arch-energy, search-beam, struct-crf, struct-cfg, loss-nce, task-condlm, task-seq2seq, task-relation |
0 |
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search |
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/N19-1171.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-rnn, arch-lstm, pre-word2vec, latent-vae, task-lm |
1 |
Unsupervised Dialog Structure Learning |
Weiyan Shi, Tiancheng Zhao, Zhou Yu |
https://www.aclweb.org/anthology/N19-1178.pdf |
2019 |
NAA-CL |
# optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, task-textclass |
0 |
Event Detection without Triggers |
Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou |
https://www.aclweb.org/anthology/N19-1080.pdf |
2019 |
NAA-CL |
# optim-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, reg-stopping, arch-rnn, arch-lstm, arch-att, search-beam |
9 |
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog |
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach |
https://www.aclweb.org/anthology/N19-1058.pdf |
2019 |
NAA-CL |
# init-glorot, train-mtl, arch-rnn, arch-lstm, arch-att, comb-ensemble, task-lm, task-seq2seq |
2 |
A Large-Scale Comparison of Historical Text Normalization Systems |
Marcel Bollmann |
https://www.aclweb.org/anthology/N19-1389.pdf |
2019 |
NAA-CL |
# 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 |