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, train-mll, arch-cnn, arch-att, arch-transformer, pre-skipthought, pre-bert, task-extractive, task-lm, task-seq2seq, task-cloze |
0 |
Sentence Centrality Revisited for Unsupervised Summarization |
Hao Zheng, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1628.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, optim-projection, train-mll, pool-max, arch-lstm, arch-coverage, arch-subword, pre-fasttext, loss-cca, loss-svd, task-textpair, task-lm, task-seq2seq, task-lexicon |
29 |
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions |
Goran Glavaš, Robert Litschko, Sebastian Ruder, Ivan Vulić |
https://www.aclweb.org/anthology/P19-1070.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-labelsmooth, norm-batch, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq |
1 |
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation |
Elizabeth Salesky, Matthias Sperber, Alan W Black |
https://www.aclweb.org/anthology/P19-1179.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-memo, arch-coverage, pre-elmo, pre-bert, task-spanlab |
3 |
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index |
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/P19-1436.pdf |
2019 |
ACL |
# 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-mtl, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-extractive, task-lm, task-context |
0 |
Self-Supervised Learning for Contextualized Extractive Summarization |
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
https://www.aclweb.org/anthology/P19-1214.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq |
3 |
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading |
Victor Zhong, Luke Zettlemoyer |
https://www.aclweb.org/anthology/P19-1223.pdf |
2019 |
ACL |
# optim-adam, 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-adam, optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-fasttext, pre-bert, struct-crf, task-relation |
0 |
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections |
Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig |
https://www.aclweb.org/anthology/P19-1311.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, struct-crf |
0 |
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference |
He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong |
https://www.aclweb.org/anthology/P19-1541.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-copy, arch-coverage, task-condlm, task-seq2seq |
2 |
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation |
Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, William Cohen |
https://www.aclweb.org/anthology/P19-1483.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-coverage, arch-subword, task-seq2seq |
0 |
CogNet: A Large-Scale Cognate Database |
Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia |
https://www.aclweb.org/anthology/P19-1302.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mll, arch-coverage, arch-subword, pre-fasttext, task-seq2seq |
0 |
On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study |
Damian Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel, Marco Baroni |
https://www.aclweb.org/anthology/P19-1384.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-lstm, arch-att, task-lm, task-seq2seq |
4 |
Word-order Biases in Deep-agent Emergent Communication |
Rahma Chaabouni, Eugene Kharitonov, Alessandro Lazaric, Emmanuel Dupoux, Marco Baroni |
https://www.aclweb.org/anthology/P19-1509.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, loss-nce, task-lm, task-seq2seq |
0 |
Learning from Omission |
Bill McDowell, Noah Goodman |
https://www.aclweb.org/anthology/P19-1059.pdf |
2019 |
ACL |
# optim-adam, arch-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, arch-lstm, arch-att, arch-memo, task-tree |
0 |
Interpretable Question Answering on Knowledge Bases and Text |
Alona Sydorova, Nina Poerner, Benjamin Roth |
https://www.aclweb.org/anthology/P19-1488.pdf |
2019 |
ACL |
# optim-adam, arch-gru, arch-cnn, arch-att |
0 |
Neural News Recommendation with Topic-Aware News Representation |
Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/P19-1110.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, arch-coverage, comb-ensemble, search-beam, task-lm, task-seq2seq |
3 |
Data-to-text Generation with Entity Modeling |
Ratish Puduppully, Li Dong, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1195.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, adv-train, latent-vae, latent-topic |
0 |
Topic Modeling with Wasserstein Autoencoders |
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang |
https://www.aclweb.org/anthology/P19-1640.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seqlab, task-relation |
0 |
Deep Dominance - How to Properly Compare Deep Neural Models |
Rotem Dror, Segev Shlomov, Roi Reichart |
https://www.aclweb.org/anthology/P19-1266.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, pre-bert, task-seqlab, task-lm, task-relation |
18 |
How Multilingual is Multilingual BERT? |
Telmo Pires, Eva Schlinger, Dan Garrette |
https://www.aclweb.org/anthology/P19-1493.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-transfer, train-augment, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-condlm |
7 |
Mitigating Gender Bias in Natural Language Processing: Literature Review |
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang |
https://www.aclweb.org/anthology/P19-1159.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-transformer, nondif-reinforce, task-relation, task-tree |
0 |
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing |
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/P19-1418.pdf |
2019 |
ACL |
# optim-adam, optim-projection, pool-max, arch-cnn, arch-att, arch-transformer, pre-word2vec, latent-topic, task-textclass, task-seq2seq, task-alignment |
1 |
Improving Textual Network Embedding with Global Attention via Optimal Transport |
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1512.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-bilstm, arch-att, pre-word2vec |
5 |
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network |
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim |
https://www.aclweb.org/anthology/P19-1093.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-spanlab, task-lm, task-seq2seq |
4 |
Cross-Lingual Training for Automatic Question Generation |
Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi |
https://www.aclweb.org/anthology/P19-1481.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-active, arch-rnn, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, task-seq2seq |
2 |
Collaborative Dialogue in Minecraft |
Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier |
https://www.aclweb.org/anthology/P19-1537.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, train-active, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-lm |
0 |
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions |
Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio |
https://www.aclweb.org/anthology/P19-1112.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-coverage, pre-glove, pre-skipthought, pre-elmo, pre-bert, adv-train, task-textpair, task-lm, task-cloze, task-relation |
2 |
DisSent: Learning Sentence Representations from Explicit Discourse Relations |
Allen Nie, Erin Bennett, Noah Goodman |
https://www.aclweb.org/anthology/P19-1442.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, activ-tanh, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq |
0 |
Incorporating Linguistic Constraints into Keyphrase Generation |
Jing Zhao, Yuxiang Zhang |
https://www.aclweb.org/anthology/P19-1515.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, task-lm, task-condlm |
1 |
Generating Question Relevant Captions to Aid Visual Question Answering |
Jialin Wu, Zeyuan Hu, Raymond Mooney |
https://www.aclweb.org/anthology/P19-1348.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-coverage, arch-subword, task-textpair, task-condlm, task-seq2seq |
1 |
Simple and Effective Paraphrastic Similarity from Parallel Translations |
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/P19-1453.pdf |
2019 |
ACL |
# 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 |
# 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 |
# optim-adam, optim-projection, norm-gradient, train-mll, train-transfer, activ-relu, pool-max, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-skipthought, latent-vae, task-textpair, task-lm, task-seq2seq, task-cloze |
0 |
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning |
Shuai Tang, Virginia R. de Sa |
https://www.aclweb.org/anthology/P19-1397.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-seq2seq |
1 |
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction |
Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu |
https://www.aclweb.org/anthology/P19-1137.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-bert, loss-nce, task-textclass, task-textpair |
0 |
Matching Article Pairs with Graphical Decomposition and Convolutions |
Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu |
https://www.aclweb.org/anthology/P19-1632.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-att, arch-residual, arch-coverage, latent-vae, loss-nce, task-lm, task-seq2seq, task-lexicon |
1 |
Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B |
Jiaming Luo, Yuan Cao, Regina Barzilay |
https://www.aclweb.org/anthology/P19-1303.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, task-textpair, task-lm, task-seq2seq |
4 |
Multimodal Transformer for Unaligned Multimodal Language Sequences |
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov |
https://www.aclweb.org/anthology/P19-1656.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-parallel, arch-rnn, arch-gru, arch-memo, pre-glove, pre-bert, latent-vae, task-lm |
3 |
The Referential Reader: A Recurrent Entity Network for Anaphora Resolution |
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein |
https://www.aclweb.org/anthology/P19-1593.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-elmo, task-lm, task-seq2seq |
2 |
Multilingual and Cross-Lingual Graded Lexical Entailment |
Ivan Vulić, Simone Paolo Ponzetto, Goran Glavaš |
https://www.aclweb.org/anthology/P19-1490.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-decay, train-mtl, arch-lstm, arch-bilstm, arch-att, task-condlm, task-seq2seq |
1 |
Storyboarding of Recipes: Grounded Contextual Generation |
Khyathi Chandu, Eric Nyberg, Alan W Black |
https://www.aclweb.org/anthology/P19-1606.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree |
0 |
Span-Level Model for Relation Extraction |
Kalpit Dixit, Yaser Al-Onaizan |
https://www.aclweb.org/anthology/P19-1525.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-coverage, comb-ensemble, search-viterbi, struct-crf, adv-train, task-textclass, task-seq2seq, task-relation |
0 |
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining |
Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1516.pdf |
2019 |
ACL |
# optim-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 |
# 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-adam, optim-amsgrad, optim-projection, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling |
Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman |
https://www.aclweb.org/anthology/P19-1439.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, task-condlm |
4 |
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue |
Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández |
https://www.aclweb.org/anthology/P19-1184.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, train-mtl, train-active, arch-att, arch-subword, arch-transformer, pre-fasttext, task-condlm |
14 |
Learning from Dialogue after Deployment: Feed Yourself, Chatbot! |
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare, Jason Weston |
https://www.aclweb.org/anthology/P19-1358.pdf |
2019 |
ACL |
# optim-adam, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, task-textpair |
0 |
Predicting Human Activities from User-Generated Content |
Steven Wilson, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1245.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-fasttext, pre-glove, latent-vae, task-relation |
1 |
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis |
Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier |
https://www.aclweb.org/anthology/P19-1048.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-paravec, task-condlm, task-seq2seq |
1 |
Improving Visual Question Answering by Referring to Generated Paragraph Captions |
Hyounghun Kim, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1351.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-active, arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, loss-nce, task-seqlab, task-relation |
0 |
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains |
Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1265.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, nondif-straightthrough, nondif-reinforce, latent-vae, task-textclass, task-textpair, task-lm |
3 |
Interpretable Neural Predictions with Differentiable Binary Variables |
Joost Bastings, Wilker Aziz, Ivan Titov |
https://www.aclweb.org/anthology/P19-1284.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-augment, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq |
2 |
Soft Contextual Data Augmentation for Neural Machine Translation |
Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu |
https://www.aclweb.org/anthology/P19-1555.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq |
3 |
Neural News Recommendation with Long- and Short-term User Representations |
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie |
https://www.aclweb.org/anthology/P19-1033.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-coverage, arch-subword, pre-glove, loss-svd, loss-margin, task-textpair |
1 |
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment |
Goran Glavaš, Ivan Vulić |
https://www.aclweb.org/anthology/P19-1476.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, train-transfer, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-relation, task-lexicon |
1 |
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation |
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao |
https://www.aclweb.org/anthology/P19-1119.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, train-mtl, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, struct-crf, task-textclass |
3 |
Transfer Capsule Network for Aspect Level Sentiment Classification |
Zhuang Chen, Tieyun Qian |
https://www.aclweb.org/anthology/P19-1052.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-transfer, arch-gru, arch-gcnn, arch-cnn, arch-att, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Hierarchical Transfer Learning for Multi-label Text Classification |
Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, Kostas Tsioutsiouliklis |
https://www.aclweb.org/anthology/P19-1633.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, comb-ensemble, task-seq2seq, task-tree |
0 |
Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions |
Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang |
https://www.aclweb.org/anthology/P19-1619.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-glove, pre-bert, task-textclass, task-seqlab, task-seq2seq |
4 |
DocRED: A Large-Scale Document-Level Relation Extraction Dataset |
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun |
https://www.aclweb.org/anthology/P19-1074.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-treelstm, arch-att, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-seq2seq, task-alignment |
0 |
Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation |
Nitika Mathur, Timothy Baldwin, Trevor Cohn |
https://www.aclweb.org/anthology/P19-1269.pdf |
2019 |
ACL |
# optim-adam, train-transfer, arch-lstm, arch-coverage, task-lm |
1 |
How Large Are Lions? Inducing Distributions over Quantitative Attributes |
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth |
https://www.aclweb.org/anthology/P19-1388.pdf |
2019 |
ACL |
# 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, pre-word2vec, pre-glove, task-textclass |
0 |
A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings |
Chris Sweeney, Maryam Najafian |
https://www.aclweb.org/anthology/P19-1162.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 |
# optim-adam, loss-svd, task-lm, task-seq2seq |
4 |
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change |
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg |
https://www.aclweb.org/anthology/P19-1044.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, pre-bert, latent-vae, task-textpair, task-spanlab, task-lm, task-tree |
5 |
Latent Retrieval for Weakly Supervised Open Domain Question Answering |
Kenton Lee, Ming-Wei Chang, Kristina Toutanova |
https://www.aclweb.org/anthology/P19-1612.pdf |
2019 |
ACL |
# 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, train-mll, train-transfer, train-active, arch-cnn, arch-att, search-viterbi, struct-crf, task-textclass, task-seqlab |
0 |
Learning How to Active Learn by Dreaming |
Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari |
https://www.aclweb.org/anthology/P19-1401.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, arch-subword, pre-elmo, task-textpair, task-lm, task-seq2seq |
0 |
Towards Language Agnostic Universal Representations |
Armen Aghajanyan, Xia Song, Saurabh Tiwary |
https://www.aclweb.org/anthology/P19-1395.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-relation |
2 |
Multi-grained Named Entity Recognition |
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu |
https://www.aclweb.org/anthology/P19-1138.pdf |
2019 |
ACL |
# optim-adam, init-glorot, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, loss-nce, task-seq2seq |
0 |
Joint Effects of Context and User History for Predicting Online Conversation Re-entries |
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
https://www.aclweb.org/anthology/P19-1270.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq |
3 |
Learning to Ask Unanswerable Questions for Machine Reading Comprehension |
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
https://www.aclweb.org/anthology/P19-1415.pdf |
2019 |
ACL |
# optim-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-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass, task-lm |
9 |
Multilingual Constituency Parsing with Self-Attention and Pre-Training |
Nikita Kitaev, Steven Cao, Dan Klein |
https://www.aclweb.org/anthology/P19-1340.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, reg-patience, train-mll, arch-lstm, arch-subword, task-lm, task-seq2seq, task-relation |
0 |
Better Character Language Modeling through Morphology |
Terra Blevins, Luke Zettlemoyer |
https://www.aclweb.org/anthology/P19-1156.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, train-augment, arch-lstm, arch-att, arch-subword, arch-transformer, adv-examp, task-seq2seq |
5 |
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding |
Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He |
https://www.aclweb.org/anthology/P19-1291.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, struct-crf, task-textclass |
0 |
Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes |
Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, Vivek Srikumar |
https://www.aclweb.org/anthology/P19-1563.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, pre-glove, task-textpair |
0 |
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models |
Vesna Djokic, Jean Maillard, Luana Bulat, Ekaterina Shutova |
https://www.aclweb.org/anthology/P19-1508.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-residual, arch-gating, arch-subword, arch-transformer, comb-ensemble, search-beam, task-textclass, task-seq2seq |
1 |
Depth Growing for Neural Machine Translation |
Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
https://www.aclweb.org/anthology/P19-1558.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, arch-memo, pre-word2vec, latent-topic, task-textpair, task-seqlab, task-condlm |
1 |
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network |
Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou |
https://www.aclweb.org/anthology/P19-1345.pdf |
2019 |
ACL |
# optim-adam, 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, train-mll, arch-cnn, task-seq2seq |
4 |
Evaluating Gender Bias in Machine Translation |
Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer |
https://www.aclweb.org/anthology/P19-1164.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, arch-gru, arch-att, arch-memo, arch-coverage, pre-bert, task-seq2seq |
0 |
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment |
Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, Hua Wu |
https://www.aclweb.org/anthology/P19-1535.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, norm-gradient, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-glove, task-tree |
2 |
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network |
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/P19-1423.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, comb-ensemble, search-beam, search-viterbi, pre-word2vec, pre-elmo, pre-bert, task-lm |
0 |
Cross-Domain Generalization of Neural Constituency Parsers |
Daniel Fried, Nikita Kitaev, Dan Klein |
https://www.aclweb.org/anthology/P19-1031.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-patience, train-mll, arch-rnn, arch-lstm |
1 |
Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning |
Nicole Mirea, Klinton Bicknell |
https://www.aclweb.org/anthology/P19-1155.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-batch, norm-gradient, train-transfer, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-elmo, loss-cca, task-lm, task-seq2seq, task-alignment |
1 |
Multimodal and Multi-view Models for Emotion Recognition |
Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang |
https://www.aclweb.org/anthology/P19-1095.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, pre-glove, task-spanlab, task-seq2seq |
0 |
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text |
Jianxing Yu, Zhengjun Zha, Jian Yin |
https://www.aclweb.org/anthology/P19-1217.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-relu, pool-max, pool-mean, arch-cnn, pre-glove, task-textclass, task-lm, task-seq2seq |
4 |
MOROCO: The Moldavian and Romanian Dialectal Corpus |
Andrei Butnaru, Radu Tudor Ionescu |
https://www.aclweb.org/anthology/P19-1068.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-bilinear, pre-glove, task-spanlab |
0 |
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension |
Daesik Kim, Seonhoon Kim, Nojun Kwak |
https://www.aclweb.org/anthology/P19-1347.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, loss-margin, task-spanlab, task-lm |
2 |
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension |
An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li |
https://www.aclweb.org/anthology/P19-1226.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq, meta-init |
5 |
Domain Adaptive Dialog Generation via Meta Learning |
Kun Qian, Zhou Yu |
https://www.aclweb.org/anthology/P19-1253.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-coverage, arch-subword, task-lm |
3 |
Meaning to Form: Measuring Systematicity as Information |
Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell |
https://www.aclweb.org/anthology/P19-1171.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-augment, arch-lstm, arch-att, arch-copy, pre-bert, struct-cfg, task-seq2seq, task-tree |
4 |
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation |
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang |
https://www.aclweb.org/anthology/P19-1444.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq |
5 |
Sparse Sequence-to-Sequence Models |
Ben Peters, Vlad Niculae, André F. T. Martins |
https://www.aclweb.org/anthology/P19-1146.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm |
1 |
Manipulating the Difficulty of C-Tests |
Ji-Ung Lee, Erik Schwan, Christian M. Meyer |
https://www.aclweb.org/anthology/P19-1035.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, struct-cfg, adv-train, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Language Modeling with Shared Grammar |
Yuyu Zhang, Le Song |
https://www.aclweb.org/anthology/P19-1437.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, pre-glove, struct-crf, task-textpair |
14 |
A Large-Scale Corpus for Conversation Disentanglement |
Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph J. Peper, Vignesh Athreya, Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros C Polymenakos, Walter Lasecki |
https://www.aclweb.org/anthology/P19-1374.pdf |
2019 |
ACL |
# optim-adam, arch-att, arch-coverage, comb-ensemble, pre-bert, task-textpair, task-lm |
2 |
Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge |
Ashok Prakash, Arpit Sharma, Arindam Mitra, Chitta Baral |
https://www.aclweb.org/anthology/P19-1614.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, task-spanlab, task-condlm |
3 |
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives |
Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang |
https://www.aclweb.org/anthology/P19-1486.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq, task-relation, task-lexicon, task-alignment |
6 |
JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages |
Željko Agić, Ivan Vulić |
https://www.aclweb.org/anthology/P19-1310.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-skipthought, task-textclass |
0 |
Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media |
Chang Li, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1247.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation |
2 |
Visually Grounded Neural Syntax Acquisition |
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu |
https://www.aclweb.org/anthology/P19-1180.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-elmo, latent-topic, task-textclass |
9 |
The Risk of Racial Bias in Hate Speech Detection |
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1163.pdf |
2019 |
ACL |
# 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 |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, struct-crf, latent-topic, loss-nce, task-textpair, task-seqlab, task-lm |
1 |
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways |
James Fiacco, Samridhi Choudhary, Carolyn Rose |
https://www.aclweb.org/anthology/P19-1575.pdf |
2019 |
ACL |
# optim-adam, train-transfer, arch-lstm, arch-treelstm, arch-bilinear, arch-coverage, search-viterbi, pre-glove, pre-elmo, task-textpair, task-relation, task-tree |
0 |
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation |
Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki |
https://www.aclweb.org/anthology/P19-1013.pdf |
2019 |
ACL |
# optim-adam, arch-att, arch-selfatt, arch-subword, arch-transformer, task-lm, task-seq2seq |
30 |
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned |
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov |
https://www.aclweb.org/anthology/P19-1580.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, arch-att, arch-coverage, task-textclass, task-spanlab, task-relation |
2 |
Errudite: Scalable, Reproducible, and Testable Error Analysis |
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, Daniel Weld |
https://www.aclweb.org/anthology/P19-1073.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, pre-glove, task-seqlab |
0 |
Automatically Identifying Complaints in Social Media |
Daniel Preoţiuc-Pietro, Mihaela Gaman, Nikolaos Aletras |
https://www.aclweb.org/anthology/P19-1495.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-decay, norm-batch, norm-gradient, train-mtl, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-textclass, task-lm |
1 |
#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media |
Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata |
https://www.aclweb.org/anthology/P19-1241.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, meta-init |
1 |
Few-Shot Representation Learning for Out-Of-Vocabulary Words |
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun |
https://www.aclweb.org/anthology/P19-1402.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-elmo, pre-bert, task-seqlab, task-spanlab, task-seq2seq |
0 |
MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension |
Xuanyu Zhang |
https://www.aclweb.org/anthology/P19-1622.pdf |
2019 |
ACL |
# optim-adam, arch-att, task-relation |
2 |
Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations. |
Marcos Garcia, Marcos García Salido, Susana Sotelo, Estela Mosqueira, Margarita Alonso-Ramos |
https://www.aclweb.org/anthology/P19-1392.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-att, task-textclass, task-seqlab |
0 |
You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification |
Angelo Basile, Albert Gatt, Malvina Nissim |
https://www.aclweb.org/anthology/P19-1246.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree |
1 |
Complex Question Decomposition for Semantic Parsing |
Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang |
https://www.aclweb.org/anthology/P19-1440.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq |
2 |
Improving Abstractive Document Summarization with Salient Information Modeling |
Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang |
https://www.aclweb.org/anthology/P19-1205.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-memo, pre-glove, latent-topic, task-lm, task-alignment |
1 |
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting |
Jeanne E. Daniel, Willie Brink, Ryan Eloff, Charles Copley |
https://www.aclweb.org/anthology/P19-1090.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, task-textclass, task-seqlab, task-lm |
0 |
On-device Structured and Context Partitioned Projection Networks |
Sujith Ravi, Zornitsa Kozareva |
https://www.aclweb.org/anthology/P19-1368.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, task-lm, task-condlm |
3 |
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication |
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh |
https://www.aclweb.org/anthology/P19-1651.pdf |
2019 |
ACL |
# optim-adam, optim-projection, pre-glove, latent-vae |
3 |
Understanding Undesirable Word Embedding Associations |
Kawin Ethayarajh, David Duvenaud, Graeme Hirst |
https://www.aclweb.org/anthology/P19-1166.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, pool-max, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm |
7 |
Multi-hop Reading Comprehension through Question Decomposition and Rescoring |
Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/P19-1613.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, reg-decay, norm-layer, train-augment, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, search-greedy, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, task-tree, task-graph |
2 |
Generating Logical Forms from Graph Representations of Text and Entities |
Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun |
https://www.aclweb.org/anthology/P19-1010.pdf |
2019 |
ACL |
# optim-adam, arch-memo, arch-coverage, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq |
5 |
Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset |
Hannah Rashkin, Eric Michael Smith, Margaret Li, Y-Lan Boureau |
https://www.aclweb.org/anthology/P19-1534.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-adam, optim-projection, pool-mean, arch-coverage, arch-subword, pre-elmo, pre-bert, task-lm, task-seq2seq |
2 |
Entity-Centric Contextual Affective Analysis |
Anjalie Field, Yulia Tsvetkov |
https://www.aclweb.org/anthology/P19-1243.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-lm |
0 |
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models |
Xiaolei Huang, Michael J. Paul |
https://www.aclweb.org/anthology/P19-1403.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, pool-max, arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-skipthought, latent-vae, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq |
1 |
Learning Compressed Sentence Representations for On-Device Text Processing |
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1011.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-word2vec, pre-glove, task-textclass |
2 |
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion |
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim |
https://www.aclweb.org/anthology/P19-1094.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, pre-glove, task-tree |
0 |
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader |
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang |
https://www.aclweb.org/anthology/P19-1417.pdf |
2019 |
ACL |
# optim-adam, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, task-spanlab, task-lm, task-seq2seq |
5 |
ELI5: Long Form Question Answering |
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli |
https://www.aclweb.org/anthology/P19-1346.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-seq2seq |
4 |
Assessing the Ability of Self-Attention Networks to Learn Word Order |
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu |
https://www.aclweb.org/anthology/P19-1354.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-relation |
2 |
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction |
Christoph Alt, Marc Hübner, Leonhard Hennig |
https://www.aclweb.org/anthology/P19-1134.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm |
20 |
What Does BERT Learn about the Structure of Language? |
Ganesh Jawahar, Benoît Sagot, Djamé Seddah |
https://www.aclweb.org/anthology/P19-1356.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, search-viterbi, pre-skipthought, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq |
2 |
Extracting Symptoms and their Status from Clinical Conversations |
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran |
https://www.aclweb.org/anthology/P19-1087.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq |
5 |
Lattice Transformer for Speech Translation |
Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan |
https://www.aclweb.org/anthology/P19-1649.pdf |
2019 |
ACL |
# optim-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-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 |
# optim-adam, train-active, arch-lstm, struct-crf |
0 |
Dataset Creation for Ranking Constructive News Comments |
Soichiro Fujita, Hayato Kobayashi, Manabu Okumura |
https://www.aclweb.org/anthology/P19-1250.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, pool-max, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-condlm, task-seq2seq |
1 |
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection |
Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu |
https://www.aclweb.org/anthology/P19-1006.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, search-viterbi, pre-glove, loss-nce, task-seq2seq, task-graph |
5 |
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue |
Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba |
https://www.aclweb.org/anthology/P19-1080.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-active, arch-att, arch-memo, arch-transformer, pre-word2vec, pre-fasttext, latent-vae, loss-nce, task-seq2seq |
1 |
Improving Neural Conversational Models with Entropy-Based Data Filtering |
Richárd Csáky, Patrik Purgai, Gábor Recski |
https://www.aclweb.org/anthology/P19-1567.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, struct-crf, loss-nce, task-textpair, task-seq2seq |
1 |
Optimal Transport-based Alignment of Learned Character Representations for String Similarity |
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum |
https://www.aclweb.org/anthology/P19-1592.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-coverage, arch-transformer, pre-bert, task-lm, task-tree |
1 |
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution |
Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/P19-1386.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seqlab, task-seq2seq |
0 |
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title |
Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang, Man Lan |
https://www.aclweb.org/anthology/P19-1514.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-condlm |
1 |
Learning to Discover, Ground and Use Words with Segmental Neural Language Models |
Kazuya Kawakami, Chris Dyer, Phil Blunsom |
https://www.aclweb.org/anthology/P19-1645.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, arch-energy, comb-ensemble, search-beam, task-seq2seq, task-relation, task-tree |
2 |
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies |
Shuhei Kurita, Anders Søgaard |
https://www.aclweb.org/anthology/P19-1232.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, arch-lstm, arch-cnn, arch-att, arch-memo |
0 |
Quantifying Similarity between Relations with Fact Distribution |
Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun |
https://www.aclweb.org/anthology/P19-1278.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-transfer, train-active, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq |
0 |
Self-Regulated Interactive Sequence-to-Sequence Learning |
Julia Kreutzer, Stefan Riezler |
https://www.aclweb.org/anthology/P19-1029.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-gru, arch-att, arch-memo, arch-copy, search-greedy, loss-nce, task-seq2seq |
0 |
A Working Memory Model for Task-oriented Dialog Response Generation |
Xiuyi Chen, Jiaming Xu, Bo Xu |
https://www.aclweb.org/anthology/P19-1258.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, search-beam, loss-margin, task-seq2seq |
4 |
Neural Relation Extraction for Knowledge Base Enrichment |
Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang |
https://www.aclweb.org/anthology/P19-1023.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon |
2 |
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts |
Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1264.pdf |
2019 |
ACL |
# optim-adam, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, task-lm, task-seq2seq, task-tree |
1 |
Semantic Parsing with Dual Learning |
Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu |
https://www.aclweb.org/anthology/P19-1007.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-gating, arch-memo, arch-coverage, pre-word2vec, adv-train, latent-vae, task-seq2seq |
0 |
Enhancing Topic-to-Essay Generation with External Commonsense Knowledge |
Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun |
https://www.aclweb.org/anthology/P19-1193.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, struct-crf, loss-nce, task-seqlab, task-lexicon |
0 |
NNE: A Dataset for Nested Named Entity Recognition in English Newswire |
Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris, James R. Curran |
https://www.aclweb.org/anthology/P19-1510.pdf |
2019 |
ACL |
# optim-adam, 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, train-augment, arch-cnn, arch-att, arch-bilinear, arch-coverage, task-spanlab, task-lm, task-relation |
2 |
Are Red Roses Red? Evaluating Consistency of Question-Answering Models |
Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh |
https://www.aclweb.org/anthology/P19-1621.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 |
# optim-adam, norm-gradient, arch-gru, arch-att, comb-ensemble, search-beam, task-seq2seq |
3 |
Learning to Abstract for Memory-augmented Conversational Response Generation |
Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang |
https://www.aclweb.org/anthology/P19-1371.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, optim-projection, train-mll, arch-gru, arch-att, pre-fasttext, adv-train, task-seq2seq, task-lexicon |
0 |
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders |
Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1297.pdf |
2019 |
ACL |
# optim-adam, train-mll |
2 |
An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics |
Taraka Rama, Johann-Mattis List |
https://www.aclweb.org/anthology/P19-1627.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 |
# optim-adam, comb-ensemble, pre-bert, adv-examp, task-textpair, task-spanlab, task-seq2seq |
3 |
Misleading Failures of Partial-input Baselines |
Shi Feng, Eric Wallace, Jordan Boyd-Graber |
https://www.aclweb.org/anthology/P19-1554.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-spanlab, task-seq2seq |
2 |
Explicit Utilization of General Knowledge in Machine Reading Comprehension |
Chao Wang, Hui Jiang |
https://www.aclweb.org/anthology/P19-1219.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, latent-vae, task-relation |
0 |
Data Programming for Learning Discourse Structure |
Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher |
https://www.aclweb.org/anthology/P19-1061.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, comb-ensemble, pre-glove, latent-topic, task-condlm |
1 |
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts |
Alakananda Vempala, Daniel Preoţiuc-Pietro |
https://www.aclweb.org/anthology/P19-1272.pdf |
2019 |
ACL |
# 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 |
# optim-adam, reg-dropout, pool-max, arch-att, pre-word2vec, pre-glove |
2 |
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection |
Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cecile Paris |
https://www.aclweb.org/anthology/P19-1108.pdf |
2019 |
ACL |
# optim-adam, optim-amsgrad, init-glorot, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, struct-crf, task-relation, task-tree |
1 |
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks |
Xinyu Wang, Jingxian Huang, Kewei Tu |
https://www.aclweb.org/anthology/P19-1454.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-decay, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-coverage, pre-bert, task-spanlab, task-lm |
7 |
Cognitive Graph for Multi-Hop Reading Comprehension at Scale |
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang |
https://www.aclweb.org/anthology/P19-1259.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, reg-worddropout, reg-stopping, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, pre-bert, task-relation, task-tree, task-graph, task-alignment |
4 |
Compositional Semantic Parsing across Graphbanks |
Matthias Lindemann, Jonas Groschwitz, Alexander Koller |
https://www.aclweb.org/anthology/P19-1450.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-relu, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-spanlab |
0 |
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts |
Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa |
https://www.aclweb.org/anthology/P19-1414.pdf |
2019 |
ACL |
# optim-adam, 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 |
# optim-adam, init-glorot, train-mll, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-tree |
6 |
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network |
Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu |
https://www.aclweb.org/anthology/P19-1304.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-paravec, pre-bert, adv-examp, task-spanlab |
2 |
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension |
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li |
https://www.aclweb.org/anthology/P19-1221.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-coverage, search-beam, pre-word2vec, pre-bert, nondif-reinforce, latent-vae, task-seqlab, task-condlm, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning |
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros |
https://www.aclweb.org/anthology/P19-1451.pdf |
2019 |
ACL |
# 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 |
# optim-adam, train-mll, arch-lstm, arch-att, arch-subword, search-greedy, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment |
1 |
Unsupervised Pivot Translation for Distant Languages |
Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu |
https://www.aclweb.org/anthology/P19-1017.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, adv-examp, task-spanlab, task-seq2seq, task-alignment |
1 |
Improving the Robustness of Question Answering Systems to Question Paraphrasing |
Wee Chung Gan, Hwee Tou Ng |
https://www.aclweb.org/anthology/P19-1610.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-textpair, task-seqlab, task-spanlab, task-seq2seq |
2 |
Augmenting Neural Networks with First-order Logic |
Tao Li, Vivek Srikumar |
https://www.aclweb.org/anthology/P19-1028.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, struct-cfg, adv-train, latent-vae, task-lm, task-seq2seq |
0 |
Generating Sentences from Disentangled Syntactic and Semantic Spaces |
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/P19-1602.pdf |
2019 |
ACL |
# optim-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 |
# optim-adam, reg-dropout, norm-batch, norm-gradient, arch-lstm, arch-att, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq |
2 |
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets |
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao |
https://www.aclweb.org/anthology/P19-1435.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-lm, task-seq2seq |
1 |
Knowledge-aware Pronoun Coreference Resolution |
Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu |
https://www.aclweb.org/anthology/P19-1083.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, comb-ensemble, pre-glove, latent-vae |
3 |
Graph Neural Networks with Generated Parameters for Relation Extraction |
Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun |
https://www.aclweb.org/anthology/P19-1128.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, task-seq2seq |
0 |
Argument Generation with Retrieval, Planning, and Realization |
Xinyu Hua, Zhe Hu, Lu Wang |
https://www.aclweb.org/anthology/P19-1255.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-elmo, pre-bert, struct-hmm, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze |
0 |
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization |
Xingxing Zhang, Furu Wei, Ming Zhou |
https://www.aclweb.org/anthology/P19-1499.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-lm, task-seq2seq |
1 |
Attention Is (not) All You Need for Commonsense Reasoning |
Tassilo Klein, Moin Nabi |
https://www.aclweb.org/anthology/P19-1477.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-bert, task-textpair, task-lm, task-tree |
37 |
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference |
Tom McCoy, Ellie Pavlick, Tal Linzen |
https://www.aclweb.org/anthology/P19-1334.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-gru, arch-att, pre-bert, task-seq2seq |
0 |
Determining Relative Argument Specificity and Stance for Complex Argumentative Structures |
Esin Durmus, Faisal Ladhak, Claire Cardie |
https://www.aclweb.org/anthology/P19-1456.pdf |
2019 |
ACL |
# optim-adam, comb-ensemble, task-seqlab, task-tree |
0 |
Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection |
Nafise Sadat Moosavi, Leo Born, Massimo Poesio, Michael Strube |
https://www.aclweb.org/anthology/P19-1408.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 |
# 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, arch-cnn, arch-att, latent-topic |
0 |
Enhancing Air Quality Prediction with Social Media and Natural Language Processing |
Jyun-Yu Jiang, Xue Sun, Wei Wang, Sean Young |
https://www.aclweb.org/anthology/P19-1251.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, train-transfer, arch-transformer, pre-bert, struct-crf, task-seqlab |
0 |
Label-Agnostic Sequence Labeling by Copying Nearest Neighbors |
Sam Wiseman, Karl Stratos |
https://www.aclweb.org/anthology/P19-1533.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, optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-word2vec, struct-crf, task-seq2seq |
0 |
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts |
Rui Xia, Zixiang Ding |
https://www.aclweb.org/anthology/P19-1096.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-subword, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq |
2 |
Like a Baby: Visually Situated Neural Language Acquisition |
Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter |
https://www.aclweb.org/anthology/P19-1506.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-patience, train-mtl, arch-lstm, arch-att, arch-copy, search-beam, nondif-reinforce, task-lm, task-seq2seq, task-tree, task-graph |
1 |
Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization |
Hai Ye, Wenjie Li, Lu Wang |
https://www.aclweb.org/anthology/P19-1201.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gnn, arch-subword, pre-glove, task-seq2seq, meta-init |
0 |
Embedding Imputation with Grounded Language Information |
Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve |
https://www.aclweb.org/anthology/P19-1326.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, norm-gradient, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion |
Suyoun Kim, Siddharth Dalmia, Florian Metze |
https://www.aclweb.org/anthology/P19-1107.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-coverage, comb-ensemble, task-textpair, task-lm, task-seq2seq, task-tree |
3 |
An Imitation Learning Approach to Unsupervised Parsing |
Bowen Li, Lili Mou, Frank Keller |
https://www.aclweb.org/anthology/P19-1338.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-lm |
0 |
Better Exploiting Latent Variables in Text Modeling |
Canasai Kruengkrai |
https://www.aclweb.org/anthology/P19-1553.pdf |
2019 |
ACL |
# optim-adam, loss-nce, task-seqlab, task-relation, task-tree |
0 |
Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing |
Aparna Garimella, Carmen Banea, Dirk Hovy, Rada Mihalcea |
https://www.aclweb.org/anthology/P19-1339.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph |
2 |
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model |
Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun |
https://www.aclweb.org/anthology/P19-1479.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree |
0 |
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models |
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin |
https://www.aclweb.org/anthology/P19-1200.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, norm-layer, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-tree |
4 |
Decomposable Neural Paraphrase Generation |
Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu |
https://www.aclweb.org/anthology/P19-1332.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, task-seqlab |
3 |
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation |
Daniel Loureiro, Alípio Jorge |
https://www.aclweb.org/anthology/P19-1569.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, pre-fasttext, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Fine-Grained Spoiler Detection from Large-Scale Review Corpora |
Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley |
https://www.aclweb.org/anthology/P19-1248.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, comb-ensemble, adv-train, task-textclass, meta-arch |
1 |
Incorporating Priors with Feature Attribution on Text Classification |
Frederick Liu, Besim Avci |
https://www.aclweb.org/anthology/P19-1631.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-att, arch-memo, pre-glove, task-textpair, task-condlm |
10 |
Dialogue Natural Language Inference |
Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho |
https://www.aclweb.org/anthology/P19-1363.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, arch-gru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-spanlab, task-lm, task-seq2seq, task-alignment |
3 |
XQA: A Cross-lingual Open-domain Question Answering Dataset |
Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
https://www.aclweb.org/anthology/P19-1227.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-bilinear, pre-bert, nondif-minrisk, nondif-reinforce, loss-nce, task-spanlab, task-lm, task-relation |
7 |
Entity-Relation Extraction as Multi-Turn Question Answering |
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li |
https://www.aclweb.org/anthology/P19-1129.pdf |
2019 |
ACL |
# optim-adam, reg-decay, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-paravec, latent-topic, task-relation |
0 |
Modeling Financial Analysts’ Decision Making via the Pragmatics and Semantics of Earnings Calls |
Katherine Keith, Amanda Stent |
https://www.aclweb.org/anthology/P19-1047.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-att, arch-memo, arch-bilinear |
1 |
A2N: Attending to Neighbors for Knowledge Graph Inference |
Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum |
https://www.aclweb.org/anthology/P19-1431.pdf |
2019 |
ACL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm, task-tree |
0 |
Towards Lossless Encoding of Sentences |
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp |
https://www.aclweb.org/anthology/P19-1153.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-att, arch-selfatt, arch-transformer, search-beam, nondif-reinforce, task-seq2seq |
0 |
Look Harder: A Neural Machine Translation Model with Hard Attention |
Sathish Reddy Indurthi, Insoo Chung, Sangha Kim |
https://www.aclweb.org/anthology/P19-1290.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-seqlab |
2 |
Robust Representation Learning of Biomedical Names |
Minh C. Phan, Aixin Sun, Yi Tay |
https://www.aclweb.org/anthology/P19-1317.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-att |
0 |
Morphological Irregularity Correlates with Frequency |
Shijie Wu, Ryan Cotterell, Timothy O’Donnell |
https://www.aclweb.org/anthology/P19-1505.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, latent-vae, latent-topic, loss-nce, task-relation |
1 |
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling |
Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, Ryan Cotterell |
https://www.aclweb.org/anthology/P19-1167.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 |
# optim-adam, reg-dropout, train-mll, train-transfer, pool-max, pool-kmax, arch-lstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-fasttext, task-lm, task-seq2seq, task-lexicon, task-alignment |
0 |
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations |
Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, William Hu, Neha Verma, Dragomir Radev |
https://www.aclweb.org/anthology/P19-1306.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-bert, adv-examp, adv-train, latent-vae, task-textclass, task-textpair, task-seq2seq |
0 |
Soft Representation Learning for Sparse Transfer |
Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang |
https://www.aclweb.org/anthology/P19-1151.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-att, task-seq2seq |
1 |
Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection |
Maria Corkery, Yevgen Matusevych, Sharon Goldwater |
https://www.aclweb.org/anthology/P19-1376.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, adv-train, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment |
1 |
Domain Adaptation of Neural Machine Translation by Lexicon Induction |
Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell |
https://www.aclweb.org/anthology/P19-1286.pdf |
2019 |
ACL |
# optim-adam, train-mll, arch-lstm, arch-coverage, pre-word2vec, task-seq2seq |
3 |
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning |
Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych |
https://www.aclweb.org/anthology/P19-1572.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-glove, pre-bert, task-spanlab, task-seq2seq |
4 |
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading |
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1539.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree |
2 |
Unsupervised Question Answering by Cloze Translation |
Patrick Lewis, Ludovic Denoyer, Sebastian Riedel |
https://www.aclweb.org/anthology/P19-1484.pdf |
2019 |
ACL |
# optim-adam, 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 |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-coverage, arch-subword, search-beam, pre-elmo, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
Generating Question-Answer Hierarchies |
Kalpesh Krishna, Mohit Iyyer |
https://www.aclweb.org/anthology/P19-1224.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-elmo, loss-margin, task-lm, task-condlm, task-seq2seq |
0 |
Multi-grained Attention with Object-level Grounding for Visual Question Answering |
Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao, Yong Zhu |
https://www.aclweb.org/anthology/P19-1349.pdf |
2019 |
ACL |
# optim-adam, arch-att |
0 |
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts |
Ioana Hulpuș, Sanja Štajner, Heiner Stuckenschmidt |
https://www.aclweb.org/anthology/P19-1377.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-gating, arch-transformer, comb-ensemble, search-beam, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq |
5 |
Multi-style Generative Reading Comprehension |
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita |
https://www.aclweb.org/anthology/P19-1220.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, adv-train, loss-nce, task-seqlab, task-relation |
2 |
Reinforced Training Data Selection for Domain Adaptation |
Miaofeng Liu, Yan Song, Hongbin Zou, Tong Zhang |
https://www.aclweb.org/anthology/P19-1189.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, pre-glove, task-textclass, task-condlm |
1 |
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model |
Yitao Cai, Huiyu Cai, Xiaojun Wan |
https://www.aclweb.org/anthology/P19-1239.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, task-lm, task-seq2seq, task-lexicon |
0 |
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories |
Ignacio Iacobacci, Roberto Navigli |
https://www.aclweb.org/anthology/P19-1165.pdf |
2019 |
ACL |
# 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, train-mll, arch-att, task-textpair, task-spanlab, task-seq2seq |
0 |
HEAD-QA: A Healthcare Dataset for Complex Reasoning |
David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/P19-1092.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, reg-dropout, reg-decay, reg-labelsmooth, train-mll, train-transfer, arch-att, arch-selfatt, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze |
1 |
A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning |
Gonçalo M. Correia, André F. T. Martins |
https://www.aclweb.org/anthology/P19-1292.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-energy, arch-transformer, search-beam, task-seq2seq |
2 |
Self-Attentional Models for Lattice Inputs |
Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel |
https://www.aclweb.org/anthology/P19-1115.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, reg-patience, reg-decay, arch-att, arch-coverage, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textpair, task-lm |
1 |
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification |
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun |
https://www.aclweb.org/anthology/P19-1085.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 |
# optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon |
5 |
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies |
Yunsu Kim, Yingbo Gao, Hermann Ney |
https://www.aclweb.org/anthology/P19-1120.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-subword, pre-glove, pre-elmo, task-textclass, task-lm, task-relation |
2 |
Unsupervised Learning of PCFGs with Normalizing Flow |
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz, William Schuler |
https://www.aclweb.org/anthology/P19-1234.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, arch-cnn, arch-att, arch-bilinear |
4 |
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs |
Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul |
https://www.aclweb.org/anthology/P19-1466.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq, task-alignment |
10 |
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation |
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li, Colin Raffel |
https://www.aclweb.org/anthology/P19-1126.pdf |
2019 |
ACL |
# optim-adam, arch-att |
2 |
A Just and Comprehensive Strategy for Using NLP to Address Online Abuse |
David Jurgens, Libby Hemphill, Eshwar Chandrasekharan |
https://www.aclweb.org/anthology/P19-1357.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-parallel, arch-lstm, arch-att, comb-ensemble, task-seqlab, task-seq2seq |
0 |
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms |
Henry Moss, Andrew Moore, David Leslie, Paul Rayson |
https://www.aclweb.org/anthology/P19-1281.pdf |
2019 |
ACL |
# 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-adam, reg-dropout, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq |
1 |
Learning to Control the Fine-grained Sentiment for Story Ending Generation |
Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun |
https://www.aclweb.org/anthology/P19-1603.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-lstm, comb-ensemble |
1 |
Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment |
Nanjiang Jiang, Marie-Catherine de Marneffe |
https://www.aclweb.org/anthology/P19-1412.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, task-tree |
1 |
Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following |
David Gaddy, Dan Klein |
https://www.aclweb.org/anthology/P19-1188.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, arch-att, pre-glove |
0 |
Making Fast Graph-based Algorithms with Graph Metric Embeddings |
Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko |
https://www.aclweb.org/anthology/P19-1325.pdf |
2019 |
ACL |
# optim-adam, train-mll, pre-word2vec, latent-topic, loss-svd, task-lm |
0 |
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains |
Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde |
https://www.aclweb.org/anthology/P19-1072.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, adv-train, task-lm, task-seq2seq, task-relation |
0 |
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation |
Yftah Ziser, Roi Reichart |
https://www.aclweb.org/anthology/P19-1591.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-coverage, search-beam, pre-word2vec, task-lm, task-seq2seq |
0 |
Abstractive Text Summarization Based on Deep Learning and Semantic Content Generalization |
Panagiotis Kouris, Georgios Alexandridis, Andreas Stafylopatis |
https://www.aclweb.org/anthology/P19-1501.pdf |
2019 |
ACL |
# optim-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-sgd, optim-adam, norm-layer, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert |
8 |
Matching the Blanks: Distributional Similarity for Relation Learning |
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski |
https://www.aclweb.org/anthology/P19-1279.pdf |
2019 |
ACL |
# optim-adam, arch-coverage, pre-bert, loss-margin, loss-triplet, task-textpair, task-lm |
1 |
Learning to Rank for Plausible Plausibility |
Zhongyang Li, Tongfei Chen, Benjamin Van Durme |
https://www.aclweb.org/anthology/P19-1475.pdf |
2019 |
ACL |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-lm, task-condlm, task-seq2seq |
0 |
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports |
Baoyu Jing, Zeya Wang, Eric Xing |
https://www.aclweb.org/anthology/P19-1657.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, task-seq2seq |
2 |
Global Optimization under Length Constraint for Neural Text Summarization |
Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura |
https://www.aclweb.org/anthology/P19-1099.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-glove, pre-bert, adv-examp, adv-train, task-textpair |
17 |
Probing Neural Network Comprehension of Natural Language Arguments |
Timothy Niven, Hung-Yu Kao |
https://www.aclweb.org/anthology/P19-1459.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, pre-glove, latent-vae, loss-nce, task-seqlab |
0 |
Distant Learning for Entity Linking with Automatic Noise Detection |
Phong Le, Ivan Titov |
https://www.aclweb.org/anthology/P19-1400.pdf |
2019 |
ACL |
# optim-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-sgd, optim-adam, optim-projection, train-mtl, train-mll, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq |
2 |
A Multi-Task Architecture on Relevance-based Neural Query Translation |
Sheikh Muhammad Sarwar, Hamed Bonab, James Allan |
https://www.aclweb.org/anthology/P19-1639.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-sgd, optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm |
3 |
Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference |
Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme, Alexander Rush |
https://www.aclweb.org/anthology/P19-1084.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-relation |
2 |
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers |
Agnieszka Falenska, Jonas Kuhn |
https://www.aclweb.org/anthology/P19-1012.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, adv-examp, latent-vae, task-lm, task-condlm, task-seq2seq |
0 |
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation |
Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun |
https://www.aclweb.org/anthology/P19-1197.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, pool-kmax, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-bilinear, task-seq2seq |
1 |
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization |
Kai Wang, Xiaojun Quan, Rui Wang |
https://www.aclweb.org/anthology/P19-1207.pdf |
2019 |
ACL |
# optim-adam, 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 |
# optim-adam, init-glorot, norm-layer, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq |
0 |
Text Categorization by Learning Predominant Sense of Words as Auxiliary Task |
Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto |
https://www.aclweb.org/anthology/P19-1105.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, latent-topic, task-seq2seq |
3 |
Generating Summaries with Topic Templates and Structured Convolutional Decoders |
Laura Perez-Beltrachini, Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1504.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, loss-margin, task-seqlab, task-seq2seq |
15 |
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings |
Mikel Artetxe, Holger Schwenk |
https://www.aclweb.org/anthology/P19-1309.pdf |
2019 |
ACL |
# 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, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, pre-paravec, pre-bert, task-relation |
1 |
Multi-Task Learning for Coherence Modeling |
Youmna Farag, Helen Yannakoudakis |
https://www.aclweb.org/anthology/P19-1060.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm |
1 |
Variational Pretraining for Semi-supervised Text Classification |
Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1590.pdf |
2019 |
ACL |
# optim-adam, 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, optim-projection, init-glorot, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-cnn, arch-att, comb-ensemble, adv-train, latent-vae, latent-topic, task-textclass, task-seq2seq |
0 |
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference |
Yitong Li, Timothy Baldwin, Trevor Cohn |
https://www.aclweb.org/anthology/P19-1186.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm |
0 |
Multi-task Pairwise Neural Ranking for Hashtag Segmentation |
Mounica Maddela, Wei Xu, Daniel Preoţiuc-Pietro |
https://www.aclweb.org/anthology/P19-1242.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, pre-glove, pre-skipthought, pre-elmo, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification |
Tu Vu, Mohit Iyyer |
https://www.aclweb.org/anthology/P19-1638.pdf |
2019 |
ACL |
# optim-adam, 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 |
# optim-adam, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, task-seq2seq |
5 |
Scoring Sentence Singletons and Pairs for Abstractive Summarization |
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu |
https://www.aclweb.org/anthology/P19-1209.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-treelstm, pre-elmo, struct-crf, latent-vae, task-lm, task-tree |
0 |
Latent Variable Sentiment Grammar |
Liwen Zhang, Kewei Tu, Yue Zhang |
https://www.aclweb.org/anthology/P19-1457.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq |
1 |
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation |
Benjamin Heinzerling, Michael Strube |
https://www.aclweb.org/anthology/P19-1027.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-coverage, task-seq2seq, task-relation, task-tree, task-graph |
0 |
SemBleu: A Robust Metric for AMR Parsing Evaluation |
Linfeng Song, Daniel Gildea |
https://www.aclweb.org/anthology/P19-1446.pdf |
2019 |
ACL |
# 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 |
# optim-adam, optim-projection, reg-dropout, reg-norm, reg-labelsmooth, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-seqlab, task-seq2seq, task-relation |
3 |
Leveraging Local and Global Patterns for Self-Attention Networks |
Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao |
https://www.aclweb.org/anthology/P19-1295.pdf |
2019 |
ACL |
# optim-adam, arch-att, arch-selfatt, arch-transformer, pre-bert, task-textpair, task-seqlab, task-graph |
4 |
Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction |
Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly |
https://www.aclweb.org/anthology/P19-1513.pdf |
2019 |
ACL |
# optim-adam, norm-layer, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
A Compact and Language-Sensitive Multilingual Translation Method |
Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong |
https://www.aclweb.org/anthology/P19-1117.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, adv-examp, task-textclass, task-textpair, task-lm |
14 |
HellaSwag: Can a Machine Really Finish Your Sentence? |
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi |
https://www.aclweb.org/anthology/P19-1472.pdf |
2019 |
ACL |
# optim-adam, train-augment, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-greedy, search-beam, pre-glove, task-condlm, task-seq2seq, task-tree |
2 |
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation |
Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko |
https://www.aclweb.org/anthology/P19-1655.pdf |
2019 |
ACL |
# 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, train-transfer, arch-cnn, comb-ensemble, pre-bert, task-textclass, task-lm |
0 |
A Surprisingly Robust Trick for the Winograd Schema Challenge |
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz |
https://www.aclweb.org/anthology/P19-1478.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree |
1 |
Improving Multi-turn Dialogue Modelling with Utterance ReWriter |
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou |
https://www.aclweb.org/anthology/P19-1003.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph |
7 |
AMR Parsing as Sequence-to-Graph Transduction |
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme |
https://www.aclweb.org/anthology/P19-1009.pdf |
2019 |
ACL |
# optim-adam, optim-projection, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-bert |
5 |
SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking |
Hwaran Lee, Jinsik Lee, Tae-Yoon Kim |
https://www.aclweb.org/anthology/P19-1546.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, task-textpair, task-seq2seq, task-relation, task-tree |
0 |
An Empirical Study of Span Representations in Argumentation Structure Parsing |
Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui |
https://www.aclweb.org/anthology/P19-1464.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, adv-train, latent-vae |
1 |
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification |
Wei Jia, Dai Dai, Xinyan Xiao, Hua Wu |
https://www.aclweb.org/anthology/P19-1135.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, struct-crf, adv-train, task-seqlab, task-lm |
2 |
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling |
Nasser Zalmout, Nizar Habash |
https://www.aclweb.org/anthology/P19-1173.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, reg-stopping, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, task-lm |
13 |
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction |
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi |
https://www.aclweb.org/anthology/P19-1470.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze |
116 |
Multi-Task Deep Neural Networks for Natural Language Understanding |
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1441.pdf |
2019 |
ACL |
# optim-adam, norm-gradient, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-seq2seq |
1 |
Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References |
Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/P19-1372.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-lm |
0 |
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text |
Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, Marius Kloft |
https://www.aclweb.org/anthology/P19-1398.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-copy, arch-coverage, task-seqlab, task-lm |
6 |
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling |
Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/P19-1598.pdf |
2019 |
ACL |
# optim-adam, optim-adadelta, reg-dropout, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-beam, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-seq2seq |
4 |
Multi-Hop Paragraph Retrieval for Open-Domain Question Answering |
Yair Feldman, Ran El-Yaniv |
https://www.aclweb.org/anthology/P19-1222.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq |
5 |
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition |
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok |
https://www.aclweb.org/anthology/P19-1336.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mll, train-augment, arch-att, arch-selfatt, arch-residual, arch-transformer, struct-hmm, adv-train, latent-vae, task-textclass, task-lm, task-seq2seq |
4 |
Unsupervised Paraphrasing without Translation |
Aurko Roy, David Grangier |
https://www.aclweb.org/anthology/P19-1605.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-word2vec, pre-elmo, pre-bert, task-textclass |
4 |
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues |
Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/P19-1001.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze |
27 |
ERNIE: Enhanced Language Representation with Informative Entities |
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu |
https://www.aclweb.org/anthology/P19-1139.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, arch-memo, arch-transformer, pre-bert, task-textclass, task-textpair, task-seq2seq, task-tree, meta-init |
3 |
Personalizing Dialogue Agents via Meta-Learning |
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Pascale Fung |
https://www.aclweb.org/anthology/P19-1542.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-adam, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, task-textclass, task-seqlab |
1 |
Incremental Learning from Scratch for Task-Oriented Dialogue Systems |
Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li |
https://www.aclweb.org/anthology/P19-1361.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, search-viterbi, pre-elmo, task-seqlab, task-lm, task-relation, task-tree |
1 |
Semi-supervised Domain Adaptation for Dependency Parsing |
Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si |
https://www.aclweb.org/anthology/P19-1229.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, task-spanlab, task-seq2seq |
1 |
Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension |
Yimeng Zhuang, Huadong Wang |
https://www.aclweb.org/anthology/P19-1218.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-transformer, pre-elmo, pre-bert, task-textpair, task-lm, task-cloze |
37 |
BERT Rediscovers the Classical NLP Pipeline |
Ian Tenney, Dipanjan Das, Ellie Pavlick |
https://www.aclweb.org/anthology/P19-1452.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, search-beam, pre-glove, pre-elmo, task-spanlab |
2 |
Exploiting Explicit Paths for Multi-hop Reading Comprehension |
Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark |
https://www.aclweb.org/anthology/P19-1263.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, task-textclass, task-seq2seq |
0 |
Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis |
Jialong Tang, Ziyao Lu, Jinsong Su, Yubin Ge, Linfeng Song, Le Sun, Jiebo Luo |
https://www.aclweb.org/anthology/P19-1053.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-copy, pre-glove, task-lm, task-seq2seq |
4 |
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing |
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/P19-1331.pdf |
2019 |
ACL |
# optim-adam, arch-rnn, arch-lstm, arch-coverage, comb-ensemble, search-viterbi, pre-elmo |
5 |
Wide-Coverage Neural A* Parsing for Minimalist Grammars |
John Torr, Milos Stanojevic, Mark Steedman, Shay B. Cohen |
https://www.aclweb.org/anthology/P19-1238.pdf |
2019 |
ACL |
# optim-adam, optim-projection, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze |
0 |
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings |
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti |
https://www.aclweb.org/anthology/P19-1168.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq |
2 |
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings |
Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar |
https://www.aclweb.org/anthology/P19-1568.pdf |
2019 |
ACL |
# optim-adam, reg-norm, train-mtl, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-lm |
0 |
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition |
Subhradeep Kayal, George Tsatsaronis |
https://www.aclweb.org/anthology/P19-1445.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-transformer, task-condlm, task-seq2seq |
0 |
Expressing Visual Relationships via Language |
Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1182.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-norm, arch-bilinear, nondif-straightthrough |
1 |
Relation Embedding with Dihedral Group in Knowledge Graph |
Canran Xu, Ruijiang Li |
https://www.aclweb.org/anthology/P19-1026.pdf |
2019 |
ACL |
# optim-adam, arch-cnn, arch-att, arch-memo |
1 |
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language |
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel |
https://www.aclweb.org/anthology/P19-1618.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-bert, struct-crf, task-seqlab, task-spanlab |
6 |
Dynamically Fused Graph Network for Multi-hop Reasoning |
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
https://www.aclweb.org/anthology/P19-1617.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq |
6 |
Attention Guided Graph Convolutional Networks for Relation Extraction |
Zhijiang Guo, Yan Zhang, Wei Lu |
https://www.aclweb.org/anthology/P19-1024.pdf |
2019 |
ACL |
# 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 |
# optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq |
1 |
Boosting Dialog Response Generation |
Wenchao Du, Alan W Black |
https://www.aclweb.org/anthology/P19-1005.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-seqlab, task-lm, task-seq2seq, task-relation, meta-arch |
76 |
Energy and Policy Considerations for Deep Learning in NLP |
Emma Strubell, Ananya Ganesh, Andrew McCallum |
https://www.aclweb.org/anthology/P19-1355.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-norm, arch-cnn, arch-att, arch-energy, pre-glove |
0 |
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses |
Étienne Simon, Vincent Guigue, Benjamin Piwowarski |
https://www.aclweb.org/anthology/P19-1133.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-glove, task-textpair |
1 |
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification |
Zhi-Xiu Ye, Zhen-Hua Ling |
https://www.aclweb.org/anthology/P19-1277.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, train-active, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gating, arch-subword, pre-fasttext, pre-glove, task-lm, task-seq2seq |
1 |
Low-resource Deep Entity Resolution with Transfer and Active Learning |
Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa |
https://www.aclweb.org/anthology/P19-1586.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, reg-patience, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-gating, search-viterbi, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq |
1 |
Sentiment Tagging with Partial Labels using Modular Architectures |
Xiao Zhang, Dan Goldwasser |
https://www.aclweb.org/anthology/P19-1055.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, struct-crf, task-lm, task-seq2seq |
1 |
Confusionset-guided Pointer Networks for Chinese Spelling Check |
Dingmin Wang, Yi Tay, Li Zhong |
https://www.aclweb.org/anthology/P19-1578.pdf |
2019 |
ACL |
# optim-adam, 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 |
# optim-sgd, optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-subword, pre-word2vec, pre-elmo, adv-train, loss-svd, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment |
1 |
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models |
Takashi Wada, Tomoharu Iwata, Yuji Matsumoto |
https://www.aclweb.org/anthology/P19-1300.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, train-parallel, arch-gru, arch-subword, adv-train, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
0 |
Better OOV Translation with Bilingual Terminology Mining |
Matthias Huck, Viktor Hangya, Alexander Fraser |
https://www.aclweb.org/anthology/P19-1581.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-projection, reg-dropout, arch-transformer, pre-word2vec, pre-glove, pre-bert, adv-feat, task-seq2seq |
1 |
Gender-preserving Debiasing for Pre-trained Word Embeddings |
Masahiro Kaneko, Danushka Bollegala |
https://www.aclweb.org/anthology/P19-1160.pdf |
2019 |
ACL |
# optim-adam, optim-adagrad, reg-dropout, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-paravec, task-seq2seq |
9 |
Hierarchical Transformers for Multi-Document Summarization |
Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/P19-1500.pdf |
2019 |
ACL |
# optim-adam, reg-stopping, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq |
6 |
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion |
Elena Voita, Rico Sennrich, Ivan Titov |
https://www.aclweb.org/anthology/P19-1116.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, arch-lstm, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textclass, task-seq2seq |
0 |
Unraveling Antonym’s Word Vectors through a Siamese-like Network |
Mathias Etcheverry, Dina Wonsever |
https://www.aclweb.org/anthology/P19-1319.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mtl, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, struct-crf, task-seq2seq, task-relation, task-tree |
1 |
How to Best Use Syntax in Semantic Role Labelling |
Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang |
https://www.aclweb.org/anthology/P19-1529.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment |
3 |
Multi-Source Cross-Lingual Model Transfer: Learning What to Share |
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie |
https://www.aclweb.org/anthology/P19-1299.pdf |
2019 |
ACL |
# optim-adam, optim-projection, init-glorot, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-elmo, task-lm, task-relation |
1 |
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution |
Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan |
https://www.aclweb.org/anthology/P19-1409.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-seq2seq |
0 |
Modelling the interplay of metaphor and emotion through multitask learning |
Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova |
https://www.aclweb.org/anthology/D19-1227.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-textpair, task-condlm, task-seq2seq |
0 |
YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension |
Weiying Wang, Yongcheng Wang, Shizhe Chen, Qin Jin |
https://www.aclweb.org/anthology/D19-1517.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, pre-glove, pre-bert, task-lm, task-seq2seq |
0 |
Robust Navigation with Language Pretraining and Stochastic Sampling |
Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi |
https://www.aclweb.org/anthology/D19-1159.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, pre-bert, adv-examp, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze |
0 |
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models |
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/D19-3002.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-transfer, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-spanlab |
6 |
A Span-Extraction Dataset for Chinese Machine Reading Comprehension |
Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu |
https://www.aclweb.org/anthology/D19-1600.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-elmo, task-extractive |
5 |
Neural Extractive Text Summarization with Syntactic Compression |
Jiacheng Xu, Greg Durrett |
https://www.aclweb.org/anthology/D19-1324.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, activ-relu, arch-lstm, struct-crf, latent-vae, task-seqlab |
0 |
Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities |
Bailin Wang, Wei Lu |
https://www.aclweb.org/anthology/D19-1644.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Bias and Fairness in Natural Language Processing |
Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mtl, train-mll, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq |
1 |
NCLS: Neural Cross-Lingual Summarization |
Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong |
https://www.aclweb.org/anthology/D19-1302.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce, task-textclass, task-seq2seq, task-tree |
0 |
Automatically Learning Data Augmentation Policies for Dialogue Tasks |
Tong Niu, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1132.pdf |
2019 |
EMNLP |
# optim-adam, 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 |
# optim-adam, arch-att, arch-selfatt, comb-ensemble, pre-bert, adv-examp, task-spanlab |
0 |
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization |
Yi-Ting Yeh, Yun-Nung Chen |
https://www.aclweb.org/anthology/D19-1333.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-relation, task-tree |
0 |
Syntax-aware Multilingual Semantic Role Labeling |
Shexia He, Zuchao Li, Hai Zhao |
https://www.aclweb.org/anthology/D19-1538.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, arch-transformer, struct-crf, task-seqlab |
1 |
Low-Resource Name Tagging Learned with Weakly Labeled Data |
Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu, Heng Ji |
https://www.aclweb.org/anthology/D19-1025.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-gru, arch-gnn, arch-cnn, arch-att, arch-coverage, task-seq2seq |
0 |
Learning to Update Knowledge Graphs by Reading News |
Jizhi Tang, Yansong Feng, Dongyan Zhao |
https://www.aclweb.org/anthology/D19-1265.pdf |
2019 |
EMNLP |
# 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, optim-projection, reg-patience, reg-decay, arch-att, arch-coverage, arch-subword, pre-bert, task-seqlab |
13 |
Fine-Grained Analysis of Propaganda in News Article |
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov |
https://www.aclweb.org/anthology/D19-1565.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, arch-att, comb-ensemble, pre-bert, task-lm |
6 |
Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval |
Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang, Jimmy Lin |
https://www.aclweb.org/anthology/D19-1352.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 |
# optim-adam, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment |
0 |
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation |
Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma |
https://www.aclweb.org/anthology/D19-1071.pdf |
2019 |
EMNLP |
# 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 |
# optim-adam, train-mll, arch-att, arch-coverage, pre-bert, task-lm, task-condlm, task-seq2seq |
0 |
VizSeq: a visual analysis toolkit for text generation tasks |
Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu |
https://www.aclweb.org/anthology/D19-3043.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-cnn, arch-att, arch-selfatt, pre-glove, adv-examp, adv-train, task-textclass, task-seqlab, task-lm |
2 |
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation |
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli |
https://www.aclweb.org/anthology/D19-1419.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, task-condlm |
5 |
Dual Attention Networks for Visual Reference Resolution in Visual Dialog |
Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang |
https://www.aclweb.org/anthology/D19-1209.pdf |
2019 |
EMNLP |
# 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, latent-topic, task-lm |
0 |
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings |
Philippa Shoemark, Farhana Ferdousi Liza, Dong Nguyen, Scott Hale, Barbara McGillivray |
https://www.aclweb.org/anthology/D19-1007.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, pool-max, comb-ensemble, pre-glove, task-textclass |
0 |
Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings |
Hwiyeol Jo, Ceyda Cinarel |
https://www.aclweb.org/anthology/D19-1347.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-coverage, pre-word2vec, struct-crf, task-seq2seq |
0 |
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis |
Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao |
https://www.aclweb.org/anthology/D19-1563.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-lstm, arch-att, adv-train, task-lm |
0 |
Pun-GAN: Generative Adversarial Network for Pun Generation |
Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun |
https://www.aclweb.org/anthology/D19-1336.pdf |
2019 |
EMNLP |
# optim-adam, reg-norm, pool-max, pool-mean, arch-lstm, task-textclass |
0 |
Out-of-Domain Detection for Low-Resource Text Classification Tasks |
Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu |
https://www.aclweb.org/anthology/D19-1364.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, search-greedy, search-beam, pre-word2vec, pre-glove, loss-svd, task-seq2seq |
0 |
Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning |
Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang |
https://www.aclweb.org/anthology/D19-1207.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-transfer, pool-max, arch-subword, search-beam, loss-svd, task-lm, task-seq2seq |
1 |
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages |
Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney |
https://www.aclweb.org/anthology/D19-1080.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-gating, arch-coverage, pre-fasttext, pre-bert, task-spanlab, task-lm |
1 |
Interactive Language Learning by Question Answering |
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler |
https://www.aclweb.org/anthology/D19-1280.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-bilinear, pre-word2vec, pre-elmo, task-seq2seq, task-relation |
0 |
Hierarchical Pointer Net Parsing |
Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing |
https://www.aclweb.org/anthology/D19-1093.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, reg-norm, reg-decay, arch-lstm, arch-bilstm, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation |
1 |
Designing and Interpreting Probes with Control Tasks |
John Hewitt, Percy Liang |
https://www.aclweb.org/anthology/D19-1275.pdf |
2019 |
EMNLP |
# optim-adam, 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-dropout, arch-cnn, pre-glove, struct-crf, latent-vae, task-lm |
0 |
Learning with Noisy Labels for Sentence-level Sentiment Classification |
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li |
https://www.aclweb.org/anthology/D19-1655.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-gating, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation |
Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei |
https://www.aclweb.org/anthology/D19-1409.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, pool-max, arch-lstm, arch-att, arch-selfatt, pre-glove, task-spanlab |
0 |
Ranking and Sampling in Open-Domain Question Answering |
Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang, Dan Meng |
https://www.aclweb.org/anthology/D19-1245.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, pre-fasttext, task-textclass |
0 |
PRADO: Projection Attention Networks for Document Classification On-Device |
Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva |
https://www.aclweb.org/anthology/D19-1506.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-lstm, arch-subword, loss-nce, task-lm, task-seq2seq |
0 |
Experimenting with Power Divergences for Language Modeling |
Matthieu Labeau, Shay B. Cohen |
https://www.aclweb.org/anthology/D19-1421.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-att, task-textpair, task-tree |
1 |
Posing Fair Generalization Tasks for Natural Language Inference |
Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts |
https://www.aclweb.org/anthology/D19-1456.pdf |
2019 |
EMNLP |
# 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, train-mll, train-transfer, arch-coverage, arch-subword, task-lm, task-lexicon |
1 |
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction |
Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard |
https://www.aclweb.org/anthology/D19-1328.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 |
# optim-sgd, optim-adam, reg-dropout, train-augment, arch-subword, arch-transformer, task-seq2seq |
0 |
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization |
Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao |
https://www.aclweb.org/anthology/D19-1570.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-lstm, arch-cnn, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert |
0 |
An Improved Neural Baseline for Temporal Relation Extraction |
Qiang Ning, Sanjay Subramanian, Dan Roth |
https://www.aclweb.org/anthology/D19-1642.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, pre-bert, adv-train, latent-topic, task-lexicon |
1 |
Contrastive Language Adaptation for Cross-Lingual Stance Detection |
Mitra Mohtarami, James Glass, Preslav Nakov |
https://www.aclweb.org/anthology/D19-1452.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-rnn, arch-lstm, arch-att, pre-fasttext, pre-bert, loss-margin, loss-triplet, task-lm, task-condlm, task-seq2seq |
0 |
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations |
Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann |
https://www.aclweb.org/anthology/D19-1154.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, norm-layer, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, search-beam, struct-crf, task-lm, task-seq2seq |
0 |
Efficient Convolutional Neural Networks for Diacritic Restoration |
Sawsan Alqahtani, Ajay Mishra, Mona Diab |
https://www.aclweb.org/anthology/D19-1151.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-augment, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree |
0 |
Do NLP Models Know Numbers? Probing Numeracy in Embeddings |
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner |
https://www.aclweb.org/anthology/D19-1534.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
74 |
Semantic Specialization of Distributional Word Vectors |
Goran Glavaś, Edoardo Maria Ponti, Ivan Vulić |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, comb-ensemble, pre-word2vec, task-seq2seq |
0 |
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis |
Twin Karmakharm, Nikolaos Aletras, Kalina Bontcheva |
https://www.aclweb.org/anthology/D19-3020.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-viterbi, pre-glove, pre-elmo, struct-crf, task-seqlab, task-condlm |
0 |
Phrase Grounding by Soft-Label Chain Conditional Random Field |
Jiacheng Liu, Julia Hockenmaier |
https://www.aclweb.org/anthology/D19-1515.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, norm-layer, train-mll, pool-mean, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm, task-seq2seq |
0 |
Cross-Lingual Machine Reading Comprehension |
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu |
https://www.aclweb.org/anthology/D19-1169.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, optim-projection, train-mtl, arch-att, arch-memo, arch-bilinear, arch-transformer, search-beam, pre-bert, task-seq2seq, task-tree |
0 |
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base |
Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang |
https://www.aclweb.org/anthology/D19-1248.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-word2vec, pre-bert, task-seqlab, task-seq2seq, task-relation, task-tree |
0 |
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling |
Qingrong Xia, Zhenghua Li, Min Zhang |
https://www.aclweb.org/anthology/D19-1541.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-copy, task-seq2seq |
0 |
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever |
Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu |
https://www.aclweb.org/anthology/D19-1013.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, pre-elmo, pre-bert, task-textpair, task-lm, task-seq2seq, task-cloze, task-alignment |
4 |
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks |
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou |
https://www.aclweb.org/anthology/D19-1252.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, norm-layer, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, task-seq2seq |
1 |
Synchronously Generating Two Languages with Interactive Decoding |
Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu, Chengqing Zong |
https://www.aclweb.org/anthology/D19-1330.pdf |
2019 |
EMNLP |
# optim-adam, latent-topic |
0 |
Automatically Inferring Gender Associations from Language |
Serina Chang, Kathy McKeown |
https://www.aclweb.org/anthology/D19-1579.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 |
# optim-adam, optim-projection, train-mll, train-transfer, pool-mean, arch-att, arch-transformer, pre-fasttext, pre-bert, loss-cca, task-spanlab, task-lm, task-seq2seq, task-lexicon |
0 |
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model |
Tsung-Yuan Hsu, Chi-Liang Liu, Hung-yi Lee |
https://www.aclweb.org/anthology/D19-1607.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, arch-cnn, arch-att, pre-glove, task-textclass |
0 |
Human-grounded Evaluations of Explanation Methods for Text Classification |
Piyawat Lertvittayakumjorn, Francesca Toni |
https://www.aclweb.org/anthology/D19-1523.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-adam, init-glorot, norm-gradient, arch-gru, arch-bigru, arch-att, adv-train, latent-vae, task-seq2seq |
0 |
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation |
Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang |
https://www.aclweb.org/anthology/D19-1511.pdf |
2019 |
EMNLP |
# optim-adam, arch-transformer, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab |
0 |
Evaluating adversarial attacks against multiple fact verification systems |
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal |
https://www.aclweb.org/anthology/D19-1292.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-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-subword, struct-crf, task-seq2seq |
0 |
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity |
Penghui Wei, Nan Xu, Wenji Mao |
https://www.aclweb.org/anthology/D19-1485.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze, task-relation |
22 |
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT |
Shijie Wu, Mark Dredze |
https://www.aclweb.org/anthology/D19-1077.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, pre-elmo, pre-bert, task-textpair, task-seqlab, task-lm |
0 |
Entity, Relation, and Event Extraction with Contextualized Span Representations |
David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/D19-1585.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-coverage, pre-glove, pre-bert, task-textpair |
0 |
Evaluating BERT for natural language inference: A case study on the CommitmentBank |
Nanjiang Jiang, Marie-Catherine de Marneffe |
https://www.aclweb.org/anthology/D19-1630.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, latent-vae, task-seq2seq, task-tree |
0 |
Data-Anonymous Encoding for Text-to-SQL Generation |
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang |
https://www.aclweb.org/anthology/D19-1543.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-att, arch-transformer, search-beam, pre-word2vec, task-lm, task-condlm, task-seq2seq |
2 |
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering |
Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut |
https://www.aclweb.org/anthology/D19-1155.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-adam, train-mll, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon |
0 |
Machine Translation With Weakly Paired Documents |
Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1446.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-seq2seq |
0 |
MoEL: Mixture of Empathetic Listeners |
Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung |
https://www.aclweb.org/anthology/D19-1012.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, train-augment, arch-att, comb-ensemble, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-relation |
0 |
CFO: A Framework for Building Production NLP Systems |
Rishav Chakravarti, Cezar Pendus, Andrzej Sakrajda, Anthony Ferritto, Lin Pan, Michael Glass, Vittorio Castelli, J William Murdock, Radu Florian, Salim Roukos, Avi Sil |
https://www.aclweb.org/anthology/D19-3006.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, comb-ensemble, search-beam, adv-train, task-seqlab, task-seq2seq, task-graph |
0 |
Iterative Dual Domain Adaptation for Neural Machine Translation |
Jiali Zeng, Yang Liu, Jinsong Su, Yubing Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo |
https://www.aclweb.org/anthology/D19-1078.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 |
# optim-adam, optim-projection, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq |
0 |
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations |
Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan |
https://www.aclweb.org/anthology/D19-1533.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, latent-vae, task-seq2seq, task-tree, task-graph |
0 |
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs |
Bailin Wang, Ivan Titov, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1391.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-active, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq, task-alignment |
0 |
Learning to Copy for Automatic Post-Editing |
Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun |
https://www.aclweb.org/anthology/D19-1634.pdf |
2019 |
EMNLP |
# optim-adam, arch-gru, arch-memo, arch-transformer, pre-bert, task-lm, task-seq2seq |
0 |
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution |
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz |
https://www.aclweb.org/anthology/D19-1439.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-augment, arch-coverage |
3 |
It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution |
Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel |
https://www.aclweb.org/anthology/D19-1530.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-seq2seq, task-cloze |
1 |
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects |
Jianmo Ni, Jiacheng Li, Julian McAuley |
https://www.aclweb.org/anthology/D19-1018.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-seq2seq, task-tree |
0 |
Data Augmentation with Atomic Templates for Spoken Language Understanding |
Zijian Zhao, Su Zhu, Kai Yu |
https://www.aclweb.org/anthology/D19-1375.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, norm-layer, norm-batch, struct-crf, adv-train, task-textclass, task-seqlab |
0 |
Open Event Extraction from Online Text using a Generative Adversarial Network |
Rui Wang, Deyu Zhou, Yulan He |
https://www.aclweb.org/anthology/D19-1027.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 |
# optim-adam, arch-att, arch-coverage, latent-topic |
0 |
Interpretable Word Embeddings via Informative Priors |
Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson |
https://www.aclweb.org/anthology/D19-1661.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-gru, arch-att, search-beam, latent-vae, task-seq2seq |
1 |
A Discrete CVAE for Response Generation on Short-Text Conversation |
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi |
https://www.aclweb.org/anthology/D19-1198.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, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-fasttext, pre-elmo, latent-vae, task-textclass, task-seq2seq, task-tree |
1 |
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks |
Xinchi Chen, Chunchuan Lyu, Ivan Titov |
https://www.aclweb.org/anthology/D19-1544.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Dive into Deep Learning for Natural Language Processing |
Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander Smola |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree |
6 |
An End-to-End Generative Architecture for Paraphrase Generation |
Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin |
https://www.aclweb.org/anthology/D19-1309.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-beam, pre-glove, task-spanlab, task-lm |
0 |
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text |
Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark |
https://www.aclweb.org/anthology/D19-1457.pdf |
2019 |
EMNLP |
# optim-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 |
# optim-adam, train-augment, pool-max, pool-mean, arch-cnn, arch-att, arch-selfatt, arch-memo, latent-vae, task-textclass, meta-init |
0 |
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion |
Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing, Wai Lam |
https://www.aclweb.org/anthology/D19-1024.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-spanlab, task-lm, task-relation, task-tree |
0 |
Linking artificial and human neural representations of language |
Jon Gauthier, Roger Levy |
https://www.aclweb.org/anthology/D19-1050.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, arch-cnn, arch-att, arch-gating, arch-coverage, arch-transformer, pre-bert, loss-margin, task-textpair, task-seqlab, task-lm, task-seq2seq |
0 |
Aligning Cross-Lingual Entities with Multi-Aspect Information |
Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun |
https://www.aclweb.org/anthology/D19-1451.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, train-mll, struct-cfg |
0 |
Constraint-based Learning of Phonological Processes |
Shraddha Barke, Rose Kunkel, Nadia Polikarpova, Eric Meinhardt, Eric Bakovic, Leon Bergen |
https://www.aclweb.org/anthology/D19-1639.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 |
# optim-adam, arch-transformer, comb-ensemble, pre-bert, task-seq2seq |
0 |
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction |
Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui |
https://www.aclweb.org/anthology/D19-1119.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-stopping, latent-vae |
0 |
A Deep Factorization of Style and Structure in Fonts |
Akshay Srivatsan, Jonathan Barron, Dan Klein, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/D19-1225.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-transformer, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm |
0 |
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings |
Kawin Ethayarajh |
https://www.aclweb.org/anthology/D19-1006.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-coverage, pre-glove, pre-bert, struct-crf, task-textclass |
0 |
Detecting Causal Language Use in Science Findings |
Bei Yu, Yingya Li, Jun Wang |
https://www.aclweb.org/anthology/D19-1473.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-condlm, task-seq2seq |
0 |
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues |
Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang |
https://www.aclweb.org/anthology/D19-1516.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-gru, arch-cnn, pre-word2vec, pre-skipthought, task-textpair, task-lm, task-seq2seq, task-lexicon |
0 |
Incorporating Visual Semantics into Sentence Representations within a Grounded Space |
Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari |
https://www.aclweb.org/anthology/D19-1064.pdf |
2019 |
EMNLP |
# optim-adam, arch-att |
0 |
Are You for Real? Detecting Identity Fraud via Dialogue Interactions |
Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong, Zhifei Li |
https://www.aclweb.org/anthology/D19-1185.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, norm-layer, train-mtl, train-mll, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, loss-svd, task-textpair, task-seq2seq |
0 |
Parameter-free Sentence Embedding via Orthogonal Basis |
Ziyi Yang, Chenguang Zhu, Weizhu Chen |
https://www.aclweb.org/anthology/D19-1059.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Data Collection and End-to-End Learning for Conversational AI |
Tsung-Hsien Wen, Pei-Hao Su, Paweł Budzianowski, Iñigo Casanueva, Ivan Vulić |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, task-spanlab, task-lm, task-seq2seq |
0 |
Multi-Task Learning with Language Modeling for Question Generation |
Wenjie Zhou, Minghua Zhang, Yunfang Wu |
https://www.aclweb.org/anthology/D19-1337.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-textpair, task-lm |
0 |
Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching |
Mingtong Liu, Yujie Zhang, Jinan Xu, Yufeng Chen |
https://www.aclweb.org/anthology/D19-1267.pdf |
2019 |
EMNLP |
# 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 |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, struct-crf, task-textclass, task-extractive, task-lm, task-seq2seq |
0 |
Pretrained Language Models for Sequential Sentence Classification |
Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld |
https://www.aclweb.org/anthology/D19-1383.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-active, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq |
19 |
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks |
Jason Wei, Kai Zou |
https://www.aclweb.org/anthology/D19-1670.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-coverage, task-lm |
0 |
Neural News Recommendation with Heterogeneous User Behavior |
Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/D19-1493.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq |
0 |
Adaptive Parameterization for Neural Dialogue Generation |
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin |
https://www.aclweb.org/anthology/D19-1188.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-seq2seq, task-tree, task-graph |
0 |
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation |
Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou |
https://www.aclweb.org/anthology/D19-1548.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-att, arch-coverage, arch-transformer, search-beam, task-seq2seq |
0 |
INMT: Interactive Neural Machine Translation Prediction |
Sebastin Santy, Sandipan Dandapat, Monojit Choudhury, Kalika Bali |
https://www.aclweb.org/anthology/D19-3018.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, search-beam, nondif-reinforce, task-lm, task-condlm |
1 |
Improving Generative Visual Dialog by Answering Diverse Questions |
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das |
https://www.aclweb.org/anthology/D19-1152.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, adv-train |
0 |
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network |
Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen |
https://www.aclweb.org/anthology/D19-1487.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, train-mll, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, adv-train, task-spanlab, task-lm, task-seq2seq |
2 |
Adversarial Domain Adaptation for Machine Reading Comprehension |
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang |
https://www.aclweb.org/anthology/D19-1254.pdf |
2019 |
EMNLP |
# 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, optim-projection, reg-dropout, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, latent-vae, task-tree |
0 |
Answering Conversational Questions on Structured Data without Logical Forms |
Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun |
https://www.aclweb.org/anthology/D19-1603.pdf |
2019 |
EMNLP |
# 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, arch-subword, pre-fasttext, task-lexicon |
2 |
Analytical Methods for Interpretable Ultradense Word Embeddings |
Philipp Dufter, Hinrich Schütze |
https://www.aclweb.org/anthology/D19-1111.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-bert, loss-cca, task-seq2seq |
0 |
Dialog Intent Induction with Deep Multi-View Clustering |
Hugh Perkins, Yi Yang |
https://www.aclweb.org/anthology/D19-1413.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, task-textclass, task-lm |
0 |
Label-Specific Document Representation for Multi-Label Text Classification |
Lin Xiao, Xin Huang, Boli Chen, Liping Jing |
https://www.aclweb.org/anthology/D19-1044.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, arch-lstm, arch-att, task-condlm, task-seq2seq, task-tree |
0 |
RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation |
Tzuf Paz-Argaman, Reut Tsarfaty |
https://www.aclweb.org/anthology/D19-1681.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, search-viterbi, pre-word2vec, pre-skipthought, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation |
0 |
Learning to Infer Entities, Properties and their Relations from Clinical Conversations |
Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran |
https://www.aclweb.org/anthology/D19-1503.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information |
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee |
https://www.aclweb.org/anthology/D19-1232.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-elmo |
0 |
Rewarding Coreference Resolvers for Being Consistent with World Knowledge |
Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Herschcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard |
https://www.aclweb.org/anthology/D19-1118.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree |
0 |
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks |
Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon |
https://www.aclweb.org/anthology/D19-1183.pdf |
2019 |
EMNLP |
# optim-adam, 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, reg-dropout, train-mll, train-transfer, arch-cnn, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq, task-relation |
0 |
Cross-lingual intent classification in a low resource industrial setting |
Talaat Khalil, Kornel Kiełczewski, Georgios Christos Chouliaras, Amina Keldibek, Maarten Versteegh |
https://www.aclweb.org/anthology/D19-1676.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, search-greedy, task-extractive, task-condlm, task-seq2seq |
1 |
An Entity-Driven Framework for Abstractive Summarization |
Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang |
https://www.aclweb.org/anthology/D19-1323.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping |
Jian Ni, Radu Florian |
https://www.aclweb.org/anthology/D19-1038.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, pool-max, arch-gcnn, arch-cnn, arch-att, pre-glove, task-textclass, task-condlm, task-seq2seq |
0 |
Hierarchical Text Classification with Reinforced Label Assignment |
Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren |
https://www.aclweb.org/anthology/D19-1042.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, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-coverage, pre-elmo, pre-bert, task-relation |
0 |
MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering |
Hojae Han, Seungtaek Choi, Haeju Park, Seung-won Hwang |
https://www.aclweb.org/anthology/D19-1601.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
0 |
Discreteness in Neural Natural Language Processing |
Lili Mou, Hao Zhou, Lei Li |
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, struct-crf, loss-triplet, task-seqlab, task-lm, task-seq2seq, task-context |
14 |
Cloze-driven Pretraining of Self-attention Networks |
Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli |
https://www.aclweb.org/anthology/D19-1539.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, latent-vae, task-seqlab, task-lm, task-seq2seq, task-tree |
0 |
Latent Part-of-Speech Sequences for Neural Machine Translation |
Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian |
https://www.aclweb.org/anthology/D19-1072.pdf |
2019 |
EMNLP |
# optim-adam, 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-adam, optim-projection, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq |
2 |
Knowledge Enhanced Contextual Word Representations |
Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1005.pdf |
2019 |
EMNLP |
# 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-adam, init-glorot, reg-dropout, reg-stopping, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-seqlab |
0 |
Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks |
Hailong Jin, Lei Hou, Juanzi Li, Tiansi Dong |
https://www.aclweb.org/anthology/D19-1502.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, task-seq2seq |
1 |
Controlling Text Complexity in Neural Machine Translation |
Sweta Agrawal, Marine Carpuat |
https://www.aclweb.org/anthology/D19-1166.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, train-transfer, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, meta-init |
0 |
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks |
Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos |
https://www.aclweb.org/anthology/D19-1112.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, nondif-gumbelsoftmax, loss-svd, task-lm, task-seq2seq |
0 |
MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model |
Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh |
https://www.aclweb.org/anthology/D19-1529.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, arch-bilinear, pre-fasttext, loss-nce, task-textclass, task-lexicon, task-alignment |
0 |
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation |
Yogarshi Vyas, Marine Carpuat |
https://www.aclweb.org/anthology/D19-1532.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, train-mll, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq |
1 |
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English |
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc’Aurelio Ranzato |
https://www.aclweb.org/anthology/D19-1632.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-seqlab, task-lm, task-seq2seq, task-tree, task-alignment |
0 |
Handling Syntactic Divergence in Low-resource Machine Translation |
Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig |
https://www.aclweb.org/anthology/D19-1143.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, optim-projection, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, search-greedy, search-beam, pre-elmo, pre-bert, nondif-reinforce, task-textpair, task-seqlab, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering |
Shiyue Zhang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1253.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, task-tree |
1 |
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text |
Haitian Sun, Tania Bedrax-Weiss, William Cohen |
https://www.aclweb.org/anthology/D19-1242.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, loss-nce, task-textclass, task-lm, task-cloze |
0 |
Multi-Granularity Representations of Dialog |
Shikib Mehri, Maxine Eskenazi |
https://www.aclweb.org/anthology/D19-1184.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, pre-glove, pre-bert, nondif-reinforce, task-textclass, task-seq2seq, task-relation, task-tree |
0 |
A Split-and-Recombine Approach for Follow-up Query Analysis |
Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang |
https://www.aclweb.org/anthology/D19-1535.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, struct-crf, task-lm, task-seq2seq |
0 |
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots |
Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab |
https://www.aclweb.org/anthology/D19-1127.pdf |
2019 |
EMNLP |
# optim-adam, arch-cnn, arch-att, pre-fasttext, pre-bert, task-spanlab, task-seq2seq |
0 |
Finding Generalizable Evidence by Learning to Convince Q&A Models |
Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho |
https://www.aclweb.org/anthology/D19-1244.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-lstm, arch-bilstm, pre-glove, struct-crf |
0 |
Neural Conversation Recommendation with Online Interaction Modeling |
Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong |
https://www.aclweb.org/anthology/D19-1470.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-lstm, task-textclass |
1 |
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control |
Mo Yu, Shiyu Chang, Yang Zhang, Tommi Jaakkola |
https://www.aclweb.org/anthology/D19-1420.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-word2vec, task-alignment |
0 |
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots |
Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu |
https://www.aclweb.org/anthology/D19-1011.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-layer, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textpair, task-condlm |
0 |
Asynchronous Deep Interaction Network for Natural Language Inference |
Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang |
https://www.aclweb.org/anthology/D19-1271.pdf |
2019 |
EMNLP |
# optim-adam, arch-coverage, pre-bert, task-textpair |
2 |
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale |
Yixin Nie, Songhe Wang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1258.pdf |
2019 |
EMNLP |
# optim-adam, arch-cnn, arch-att |
0 |
Easy First Relation Extraction with Information Redundancy |
Shuai Ma, Gang Wang, Yansong Feng, Jinpeng Huai |
https://www.aclweb.org/anthology/D19-1398.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-bert, latent-vae |
0 |
Transfer Learning Between Related Tasks Using Expected Label Proportions |
Matan Ben Noach, Yoav Goldberg |
https://www.aclweb.org/anthology/D19-1004.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, task-textpair |
2 |
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling |
Jinfeng Rao, Linqing Liu, Yi Tay, Wei Yang, Peng Shi, Jimmy Lin |
https://www.aclweb.org/anthology/D19-1540.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-norm, train-mll, arch-att, arch-coverage, loss-margin, task-seq2seq |
0 |
Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment |
Xiaofei Shi, Yanghua Xiao |
https://www.aclweb.org/anthology/D19-1075.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-seq2seq |
0 |
Sequential Learning of Convolutional Features for Effective Text Classification |
Avinash Madasu, Vijjini Anvesh Rao |
https://www.aclweb.org/anthology/D19-1567.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq |
1 |
The Role of Pragmatic and Discourse Context in Determining Argument Impact |
Esin Durmus, Faisal Ladhak, Claire Cardie |
https://www.aclweb.org/anthology/D19-1568.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-bert, loss-nce, task-seqlab, task-relation |
0 |
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population |
Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza, Denilson Barbosa |
https://www.aclweb.org/anthology/D19-1069.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, task-textclass |
1 |
Perturbation Sensitivity Analysis to Detect Unintended Model Biases |
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell |
https://www.aclweb.org/anthology/D19-1578.pdf |
2019 |
EMNLP |
# optim-adam |
0 |
Text-based inference of moral sentiment change |
Jing Yi Xie, Renato Ferreira Pinto Junior, Graeme Hirst, Yang Xu |
https://www.aclweb.org/anthology/D19-1472.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-viterbi, pre-elmo, pre-bert, struct-crf, loss-nce, task-seqlab, task-lm |
0 |
Effective Use of Transformer Networks for Entity Tracking |
Aditya Gupta, Greg Durrett |
https://www.aclweb.org/anthology/D19-1070.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-bert, adv-examp, latent-vae, task-textclass, task-lm, task-seq2seq, task-relation |
0 |
Latent-Variable Generative Models for Data-Efficient Text Classification |
Xiaoan Ding, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1048.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-bert, task-lm |
1 |
Attending to Future Tokens for Bidirectional Sequence Generation |
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert |
https://www.aclweb.org/anthology/D19-1001.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-augment, arch-gru, task-lm, task-seq2seq |
1 |
Structuring Latent Spaces for Stylized Response Generation |
Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan |
https://www.aclweb.org/anthology/D19-1190.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 |
# optim-adam, reg-dropout, train-transfer, arch-lstm, latent-vae, task-lm |
0 |
Neural Gaussian Copula for Variational Autoencoder |
Prince Zizhuang Wang, William Yang Wang |
https://www.aclweb.org/anthology/D19-1442.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-transformer, pre-bert, task-spanlab, task-lm |
11 |
Social IQa: Commonsense Reasoning about Social Interactions |
Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi |
https://www.aclweb.org/anthology/D19-1454.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-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment |
0 |
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling |
Angel Daza, Anette Frank |
https://www.aclweb.org/anthology/D19-1056.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-gru, arch-att, arch-copy, pre-glove, task-seq2seq |
0 |
GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue |
Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu |
https://www.aclweb.org/anthology/D19-1462.pdf |
2019 |
EMNLP |
# optim-adam, train-active, arch-att |
1 |
Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts |
Luke Breitfeller, Emily Ahn, David Jurgens, Yulia Tsvetkov |
https://www.aclweb.org/anthology/D19-1176.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq |
0 |
Attribute-aware Sequence Network for Review Summarization |
Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong |
https://www.aclweb.org/anthology/D19-1297.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
ARAML: A Stable Adversarial Training Framework for Text Generation |
Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu |
https://www.aclweb.org/anthology/D19-1436.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq |
0 |
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning |
Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1035.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, struct-crf |
0 |
Event Detection with Trigger-Aware Lattice Neural Network |
Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin |
https://www.aclweb.org/anthology/D19-1033.pdf |
2019 |
EMNLP |
# optim-adam, norm-layer, train-mll, train-augment, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-lm, task-condlm, task-seq2seq |
19 |
LXMERT: Learning Cross-Modality Encoder Representations from Transformers |
Hao Tan, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1514.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq |
0 |
Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer |
Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao |
https://www.aclweb.org/anthology/D19-1365.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-labelsmooth, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-seq2seq, task-tree |
0 |
Improving Back-Translation with Uncertainty-based Confidence Estimation |
Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun |
https://www.aclweb.org/anthology/D19-1073.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, loss-cca, task-seq2seq |
0 |
Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis |
Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/D19-1566.pdf |
2019 |
EMNLP |
# optim-adam, pre-glove, pre-bert, task-textpair, task-spanlab |
3 |
Towards Debiasing Fact Verification Models |
Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, Daniel Roberto Filizzola Ortiz, Enrico Santus, Regina Barzilay |
https://www.aclweb.org/anthology/D19-1341.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-glove, adv-train, latent-topic, task-textclass, task-seq2seq |
0 |
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis |
Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li |
https://www.aclweb.org/anthology/D19-1478.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, pre-bert, loss-cca, loss-svd, task-lm, task-seq2seq |
4 |
Investigating Multilingual NMT Representations at Scale |
Sneha Kudugunta, Ankur Bapna, Isaac Caswell, Orhan Firat |
https://www.aclweb.org/anthology/D19-1167.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, pre-glove, struct-crf |
0 |
Revealing and Predicting Online Persuasion Strategy with Elementary Units |
Gaku Morio, Ryo Egawa, Katsuhide Fujita |
https://www.aclweb.org/anthology/D19-1653.pdf |
2019 |
EMNLP |
# optim-adam, arch-att, arch-copy, search-beam, task-spanlab, task-seq2seq |
0 |
Generating Highly Relevant Questions |
Jiazuo Qiu, Deyi Xiong |
https://www.aclweb.org/anthology/D19-1614.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, pre-glove |
0 |
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs |
Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/D19-1498.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce |
0 |
Learning Dynamic Context Augmentation for Global Entity Linking |
Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren |
https://www.aclweb.org/anthology/D19-1026.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-textclass, task-seq2seq |
0 |
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation |
Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou |
https://www.aclweb.org/anthology/D19-1164.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-norm, task-textclass |
0 |
Auditing Deep Learning processes through Kernel-based Explanatory Models |
Danilo Croce, Daniele Rossini, Roberto Basili |
https://www.aclweb.org/anthology/D19-1415.pdf |
2019 |
EMNLP |
# optim-adam, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq, task-cloze |
0 |
Fine-tune BERT with Sparse Self-Attention Mechanism |
Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang |
https://www.aclweb.org/anthology/D19-1361.pdf |
2019 |
EMNLP |
# optim-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 |
# optim-adam, reg-dropout, reg-norm, pool-max, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, task-textclass, task-seq2seq |
1 |
Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification |
Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu |
https://www.aclweb.org/anthology/D19-1551.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, task-seqlab, task-seq2seq |
0 |
Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration |
Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, Xiaojiang Liu |
https://www.aclweb.org/anthology/D19-1191.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, loss-nce, task-textclass, task-textpair, task-lm, task-cloze |
0 |
Multi-label Categorization of Accounts of Sexism using a Neural Framework |
Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma |
https://www.aclweb.org/anthology/D19-1174.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, pre-bert, task-spanlab |
0 |
Movie Plot Analysis via Turning Point Identification |
Pinelopi Papalampidi, Frank Keller, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1180.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gcnn, arch-cnn, arch-att, arch-memo, pre-glove |
1 |
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation |
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh |
https://www.aclweb.org/anthology/D19-1015.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, pool-max, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-seq2seq |
0 |
Correlations between Word Vector Sets |
Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Hammerla |
https://www.aclweb.org/anthology/D19-1008.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 |
# optim-adam, reg-patience, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm |
10 |
Language Models as Knowledge Bases? |
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander Miller |
https://www.aclweb.org/anthology/D19-1250.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-memo, arch-transformer, pre-bert, task-textpair, task-relation |
1 |
STANCY: Stance Classification Based on Consistency Cues |
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum |
https://www.aclweb.org/anthology/D19-1675.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, meta-arch |
1 |
RNN Architecture Learning with Sparse Regularization |
Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1110.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, arch-subword, pre-fasttext, task-lm, task-seq2seq, task-lexicon |
1 |
Examining Gender Bias in Languages with Grammatical Gender |
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang |
https://www.aclweb.org/anthology/D19-1531.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-tree |
0 |
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis |
Hiroki Ouchi, Jun Suzuki, Kentaro Inui |
https://www.aclweb.org/anthology/D19-1379.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, reg-patience, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-fasttext, pre-glove, task-textpair, task-seqlab, task-lm, task-relation, task-tree |
0 |
LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations |
Max Eichler, Gözde Gül Şahin, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-3022.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-glove |
0 |
Feature2Vec: Distributional semantic modelling of human property knowledge |
Steven Derby, Paul Miller, Barry Devereux |
https://www.aclweb.org/anthology/D19-1595.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
0 |
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations |
Zuyi Bao, Rui Huang, Chen Li, Kenny Zhu |
https://www.aclweb.org/anthology/D19-1095.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, pre-glove, task-condlm, task-seq2seq, task-relation |
0 |
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks |
Chen Zhang, Qiuchi Li, Dawei Song |
https://www.aclweb.org/anthology/D19-1464.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-cnn, arch-att, nondif-reinforce, adv-train, task-textpair |
0 |
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning |
Ruiping Li, Xiang Cheng |
https://www.aclweb.org/anthology/D19-1266.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, pre-glove, pre-skipthought, pre-elmo, pre-use, adv-train, task-textpair, task-seqlab, task-lm, task-seq2seq |
0 |
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation |
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus |
https://www.aclweb.org/anthology/D19-1306.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, arch-att, pre-elmo, loss-svd |
1 |
An Attentive Fine-Grained Entity Typing Model with Latent Type Representation |
Ying Lin, Heng Ji |
https://www.aclweb.org/anthology/D19-1641.pdf |
2019 |
EMNLP |
# 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-adam, train-mtl, train-mll, train-parallel, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-spanlab, task-seq2seq, task-alignment |
0 |
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels |
Yimin Jing, Deyi Xiong, Zhen Yan |
https://www.aclweb.org/anthology/D19-1249.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq |
2 |
Multilingual Neural Machine Translation with Language Clustering |
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1089.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, comb-ensemble, adv-feat, adv-train, task-lm, task-seq2seq |
0 |
Pushing the Limits of Low-Resource Morphological Inflection |
Antonios Anastasopoulos, Graham Neubig |
https://www.aclweb.org/anthology/D19-1091.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm |
0 |
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/D19-1260.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, pre-glove, pre-bert, nondif-reinforce, task-lm, task-seq2seq |
0 |
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue |
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston |
https://www.aclweb.org/anthology/D19-1203.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-bert |
1 |
A deep-learning framework to detect sarcasm targets |
Jasabanta Patro, Srijan Bansal, Animesh Mukherjee |
https://www.aclweb.org/anthology/D19-1663.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, pre-glove, adv-train, task-textpair, task-spanlab, meta-arch |
3 |
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1455.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-seq2seq |
0 |
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis |
Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang |
https://www.aclweb.org/anthology/D19-1654.pdf |
2019 |
EMNLP |
# optim-adam, arch-cnn |
0 |
Visual Detection with Context for Document Layout Analysis |
Carlos Soto, Shinjae Yoo |
https://www.aclweb.org/anthology/D19-1348.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-greedy, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation |
0 |
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited |
Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre |
https://www.aclweb.org/anthology/D19-1277.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, struct-crf, latent-vae, task-seqlab |
0 |
A Boundary-aware Neural Model for Nested Named Entity Recognition |
Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu |
https://www.aclweb.org/anthology/D19-1034.pdf |
2019 |
EMNLP |
# optim-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 |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-relation |
0 |
Weak Supervision for Learning Discourse Structure |
Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher |
https://www.aclweb.org/anthology/D19-1234.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq |
0 |
Reading Like HER: Human Reading Inspired Extractive Summarization |
Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He |
https://www.aclweb.org/anthology/D19-1300.pdf |
2019 |
EMNLP |
# optim-adam, train-parallel, arch-lstm, arch-att, pre-glove, pre-bert, loss-nce, task-textclass, task-seqlab, task-seq2seq |
0 |
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas |
Dongyeop Kang, Varun Gangal, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1179.pdf |
2019 |
EMNLP |
# optim-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-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, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-textpair, task-spanlab |
1 |
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension |
Daniel Andor, Luheng He, Kenton Lee, Emily Pitler |
https://www.aclweb.org/anthology/D19-1609.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, pre-bert, task-textclass, task-seq2seq |
0 |
HMEAE: Hierarchical Modular Event Argument Extraction |
Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren |
https://www.aclweb.org/anthology/D19-1584.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, pre-glove, task-seqlab, task-seq2seq, task-relation, task-tree |
0 |
A Pilot Study for Chinese SQL Semantic Parsing |
Qingkai Min, Yuefeng Shi, Yue Zhang |
https://www.aclweb.org/anthology/D19-1377.pdf |
2019 |
EMNLP |
# optim-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, reg-stopping, reg-patience, train-transfer, train-active, arch-lstm, arch-bilstm, comb-ensemble, pre-glove, pre-elmo, adv-examp, adv-train, task-lm |
0 |
To Annotate or Not? Predicting Performance Drop under Domain Shift |
Hady Elsahar, Matthias Gallé |
https://www.aclweb.org/anthology/D19-1222.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, pool-max, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Cross-lingual Structure Transfer for Relation and Event Extraction |
Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss |
https://www.aclweb.org/anthology/D19-1030.pdf |
2019 |
EMNLP |
# optim-adam, 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, train-mll, arch-att, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, loss-nce, task-seqlab, task-relation, task-alignment |
0 |
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing |
Tao Meng, Nanyun Peng, Kai-Wei Chang |
https://www.aclweb.org/anthology/D19-1103.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 |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, latent-vae, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Core Semantic First: A Top-down Approach for AMR Parsing |
Deng Cai, Wai Lam |
https://www.aclweb.org/anthology/D19-1393.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-selfatt |
2 |
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning |
Khanh Nguyen, Hal Daumé III |
https://www.aclweb.org/anthology/D19-1063.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree |
1 |
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation |
Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1546.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, norm-gradient, arch-gnn, arch-att, arch-selfatt, arch-transformer, pre-bert, task-spanlab, task-tree |
0 |
NumNet: Machine Reading Comprehension with Numerical Reasoning |
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu |
https://www.aclweb.org/anthology/D19-1251.pdf |
2019 |
EMNLP |
# optim-adam, optim-amsgrad, reg-dropout, train-parallel, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-memo, arch-copy, arch-subword, comb-ensemble, pre-bert, task-lm, task-seq2seq |
1 |
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation |
Liliang Ren, Jianmo Ni, Julian McAuley |
https://www.aclweb.org/anthology/D19-1196.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-lstm, arch-gating, pre-glove, loss-margin, task-seq2seq |
0 |
Jointly Learning Entity and Relation Representations for Entity Alignment |
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao |
https://www.aclweb.org/anthology/D19-1023.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph |
0 |
Enhancing AMR-to-Text Generation with Dual Graph Representations |
Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1314.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, nondif-reinforce, task-spanlab, task-condlm, task-seq2seq |
0 |
Let’s Ask Again: Refine Network for Automatic Question Generation |
Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran |
https://www.aclweb.org/anthology/D19-1326.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-lstm, meta-init, meta-optim |
3 |
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs |
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen |
https://www.aclweb.org/anthology/D19-1431.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, pre-word2vec, pre-glove |
0 |
Exploring Human Gender Stereotypes with Word Association Test |
Yupei Du, Yuanbin Wu, Man Lan |
https://www.aclweb.org/anthology/D19-1635.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, activ-tanh, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, task-lm, task-seq2seq, task-relation |
1 |
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks |
Binxuan Huang, Kathleen Carley |
https://www.aclweb.org/anthology/D19-1549.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Semantic Relatedness Based Re-ranker for Text Spotting |
Ahmed Sabir, Francesc Moreno, Lluís Padró |
https://www.aclweb.org/anthology/D19-1346.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, comb-ensemble, search-viterbi, pre-fasttext, pre-glove, struct-crf, task-seqlab, task-lm, task-seq2seq, task-lexicon |
0 |
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition |
Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung |
https://www.aclweb.org/anthology/D19-1360.pdf |
2019 |
EMNLP |
# optim-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-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze |
0 |
Transfer Fine-Tuning: A BERT Case Study |
Yuki Arase, Jun’ichi Tsujii |
https://www.aclweb.org/anthology/D19-1542.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-gnn, arch-cnn, arch-att, latent-topic, loss-svd |
0 |
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network |
Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/D19-1494.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass |
0 |
Label Embedding using Hierarchical Structure of Labels for Twitter Classification |
Taro Miyazaki, Kiminobu Makino, Yuka Takei, Hiroki Okamoto, Jun Goto |
https://www.aclweb.org/anthology/D19-1660.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree |
0 |
Semantic Role Labeling with Iterative Structure Refinement |
Chunchuan Lyu, Shay B. Cohen, Ivan Titov |
https://www.aclweb.org/anthology/D19-1099.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, task-textclass |
0 |
A Label Informative Wide & Deep Classifier for Patents and Papers |
Muyao Niu, Jie Cai |
https://www.aclweb.org/anthology/D19-1344.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-att, pre-bert, task-lm, task-seq2seq |
0 |
The Woman Worked as a Babysitter: On Biases in Language Generation |
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng |
https://www.aclweb.org/anthology/D19-1339.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, task-condlm |
1 |
Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts |
Sandro Pezzelle, Raquel Fernández |
https://www.aclweb.org/anthology/D19-1285.pdf |
2019 |
EMNLP |
# optim-adam, arch-cnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq |
0 |
Towards Knowledge-Based Recommender Dialog System |
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang |
https://www.aclweb.org/anthology/D19-1189.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-seq2seq, task-tree |
0 |
Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation |
Dongjun Lee |
https://www.aclweb.org/anthology/D19-1624.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, latent-vae, latent-topic |
0 |
Document Hashing with Mixture-Prior Generative Models |
Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen |
https://www.aclweb.org/anthology/D19-1526.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-bilinear |
0 |
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets |
Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal |
https://www.aclweb.org/anthology/D19-1368.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-energy, adv-train |
0 |
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog |
Ryuichi Takanobu, Hanlin Zhu, Minlie Huang |
https://www.aclweb.org/anthology/D19-1010.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, train-active, arch-lstm, arch-bilstm, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-condlm, task-seq2seq |
2 |
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance |
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger |
https://www.aclweb.org/anthology/D19-1053.pdf |
2019 |
EMNLP |
# 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 |
# optim-adam, pool-mean, arch-lstm, arch-cnn, arch-att, task-seq2seq, task-alignment |
0 |
A Deep Neural Information Fusion Architecture for Textual Network Embeddings |
Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang |
https://www.aclweb.org/anthology/D19-1476.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-word2vec, pre-glove, struct-crf, task-textclass, task-seqlab |
2 |
Practical Obstacles to Deploying Active Learning |
David Lowell, Zachary C. Lipton, Byron C. Wallace |
https://www.aclweb.org/anthology/D19-1003.pdf |
2019 |
EMNLP |
# optim-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-adam, task-relation, task-tree |
0 |
A Stylometry Toolkit for Latin Literature |
Thomas J. Bolt, Jeffrey H. Flynt, Pramit Chaudhuri, Joseph P. Dexter |
https://www.aclweb.org/anthology/D19-3035.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 |
# 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 |
# optim-adam, arch-lstm, arch-att, comb-ensemble, pre-bert, task-lm |
1 |
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG |
Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung |
https://www.aclweb.org/anthology/D19-1335.pdf |
2019 |
EMNLP |
# optim-adam, norm-gradient, arch-lstm, arch-att, adv-train, task-lm, task-seq2seq |
0 |
Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora |
Canasai Kruengkrai |
https://www.aclweb.org/anthology/D19-1659.pdf |
2019 |
EMNLP |
# 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, pool-max, arch-att, arch-bilinear, pre-glove, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq |
3 |
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning |
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi |
https://www.aclweb.org/anthology/D19-1243.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, reg-labelsmooth, train-mll, train-transfer, arch-lstm, task-lm, task-seq2seq, task-relation |
0 |
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding |
Quynh Do, Judith Gaspers |
https://www.aclweb.org/anthology/D19-1153.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq |
1 |
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation |
Xin Tan, Longyin Zhang, Deyi Xiong, Guodong Zhou |
https://www.aclweb.org/anthology/D19-1168.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-cnn, arch-coverage, pre-glove, struct-cfg, task-lm |
0 |
What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments |
David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan |
https://www.aclweb.org/anthology/D19-1289.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-elmo, task-textpair, task-seq2seq |
0 |
Query-focused Scenario Construction |
Su Wang, Greg Durrett, Katrin Erk |
https://www.aclweb.org/anthology/D19-1273.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq |
1 |
Learning Explicit and Implicit Structures for Targeted Sentiment Analysis |
Hao Li, Wei Lu |
https://www.aclweb.org/anthology/D19-1550.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, reg-patience, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq, task-relation |
6 |
SciBERT: A Pretrained Language Model for Scientific Text |
Iz Beltagy, Kyle Lo, Arman Cohan |
https://www.aclweb.org/anthology/D19-1371.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, arch-transformer, task-lm, task-seq2seq |
0 |
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset |
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik |
https://www.aclweb.org/anthology/D19-1459.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm, task-seq2seq |
2 |
Certified Robustness to Adversarial Word Substitutions |
Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang |
https://www.aclweb.org/anthology/D19-1423.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, train-transfer, train-active, pre-elmo, pre-bert, adv-train, latent-vae, task-textclass, task-seqlab, task-lm, task-seq2seq, task-lexicon |
2 |
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER |
Phillip Keung, Yichao Lu, Vikas Bhardwaj |
https://www.aclweb.org/anthology/D19-1138.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-transfer, pool-max, arch-lstm, arch-cnn, arch-att, adv-train |
0 |
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data |
Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun |
https://www.aclweb.org/anthology/D19-1021.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, train-mll, train-transfer, train-augment, arch-lstm, arch-transformer, pre-fasttext, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation |
0 |
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages |
Clara Vania, Yova Kementchedjhieva, Anders Søgaard, Adam Lopez |
https://www.aclweb.org/anthology/D19-1102.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-seq2seq |
0 |
Open Domain Web Keyphrase Extraction Beyond Language Modeling |
Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk |
https://www.aclweb.org/anthology/D19-1521.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, pool-max, arch-lstm, arch-bilstm, arch-att, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, task-seqlab, task-spanlab |
3 |
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases |
Christopher Clark, Mark Yatskar, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1418.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-lstm, arch-att, pre-bert, task-textpair, task-spanlab |
0 |
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level |
Zixian Huang, Yulin Shen, Xiao Li, Yu’ang Wei, Gong Cheng, Lin Zhou, Xinyu Dai, Yuzhong Qu |
https://www.aclweb.org/anthology/D19-1597.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-labelsmooth, norm-batch, norm-gradient, pool-max, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-cloze, task-relation |
2 |
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow |
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1437.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-stopping, arch-lstm, arch-memo, comb-ensemble, pre-bert, latent-vae, task-textpair |
0 |
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds |
John P. Lalor, Hao Wu, Hong Yu |
https://www.aclweb.org/anthology/D19-1434.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-augment, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, pre-glove, pre-bert, task-seq2seq, task-tree |
0 |
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions |
Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev |
https://www.aclweb.org/anthology/D19-1537.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-mtl, arch-lstm, arch-att, pre-glove, latent-vae, latent-topic, task-seq2seq |
0 |
Coupling Global and Local Context for Unsupervised Aspect Extraction |
Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong |
https://www.aclweb.org/anthology/D19-1465.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment |
0 |
Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator |
Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow |
https://www.aclweb.org/anthology/D19-1390.pdf |
2019 |
EMNLP |
# optim-adam, reg-decay, arch-lstm, arch-cnn, pre-glove, task-textclass |
0 |
Learning Only from Relevant Keywords and Unlabeled Documents |
Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama |
https://www.aclweb.org/anthology/D19-1411.pdf |
2019 |
EMNLP |
# 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-adam, reg-dropout, arch-rnn, arch-lstm, arch-transformer, pre-fasttext, pre-bert, latent-topic |
0 |
The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets |
Charuta Pethe, Steve Skiena |
https://www.aclweb.org/anthology/D19-1175.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, nondif-reinforce, loss-margin |
0 |
Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning |
Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao |
https://www.aclweb.org/anthology/D19-1264.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seq2seq |
0 |
Multi-Task Stance Detection with Sentiment and Stance Lexicons |
Yingjie Li, Cornelia Caragea |
https://www.aclweb.org/anthology/D19-1657.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, train-transfer, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon |
8 |
75 Languages, 1 Model: Parsing Universal Dependencies Universally |
Dan Kondratyuk, Milan Straka |
https://www.aclweb.org/anthology/D19-1279.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, arch-att, arch-subword, arch-transformer, search-beam, task-seq2seq |
2 |
Context-Aware Monolingual Repair for Neural Machine Translation |
Elena Voita, Rico Sennrich, Ivan Titov |
https://www.aclweb.org/anthology/D19-1081.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-augment, arch-att, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-cloze |
1 |
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification |
Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang |
https://www.aclweb.org/anthology/D19-1496.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze |
1 |
Visualizing and Understanding the Effectiveness of BERT |
Yaru Hao, Li Dong, Furu Wei, Ke Xu |
https://www.aclweb.org/anthology/D19-1424.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-patience, train-mtl, arch-lstm, arch-bilstm, arch-att, task-seq2seq, task-relation |
0 |
Toward a Task of Feedback Comment Generation for Writing Learning |
Ryo Nagata |
https://www.aclweb.org/anthology/D19-1316.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, init-glorot, reg-norm, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, task-lm, task-relation |
0 |
Specializing Word Embeddings (for Parsing) by Information Bottleneck |
Xiang Lisa Li, Jason Eisner |
https://www.aclweb.org/anthology/D19-1276.pdf |
2019 |
EMNLP |
# optim-adam, task-textpair, task-seq2seq |
0 |
Revisiting the Evaluation of Theory of Mind through Question Answering |
Matthew Le, Y-Lan Boureau, Maximilian Nickel |
https://www.aclweb.org/anthology/D19-1598.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-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 |
# 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 |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-examp, adv-train, task-textpair, task-lm |
0 |
A Logic-Driven Framework for Consistency of Neural Models |
Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar |
https://www.aclweb.org/anthology/D19-1405.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-elmo, task-textclass, task-lm |
0 |
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data |
Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, Mona Diab |
https://www.aclweb.org/anthology/D19-1460.pdf |
2019 |
EMNLP |
# optim-adam, optim-adadelta, optim-projection, init-glorot, reg-dropout, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-residual, arch-bilinear, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-seq2seq, task-relation, task-tree |
0 |
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling |
Yue Zhang, Rui Wang, Luo Si |
https://www.aclweb.org/anthology/D19-1057.pdf |
2019 |
EMNLP |
# 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, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-spanlab, task-seq2seq, task-alignment |
1 |
Hint-Based Training for Non-Autoregressive Machine Translation |
Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1573.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Detecting and Reducing Bias in a High Stakes Domain |
Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown |
https://www.aclweb.org/anthology/D19-1483.pdf |
2019 |
EMNLP |
# 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, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-textpair, task-seq2seq |
0 |
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP |
Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández |
https://www.aclweb.org/anthology/D19-1477.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, comb-ensemble, search-beam, nondif-reinforce, task-lm, task-condlm, task-seq2seq |
2 |
Countering Language Drift via Visual Grounding |
Jason Lee, Kyunghyun Cho, Douwe Kiela |
https://www.aclweb.org/anthology/D19-1447.pdf |
2019 |
EMNLP |
# 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 |
# optim-adam, optim-projection, init-glorot, reg-dropout, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, search-beam, pre-elmo, pre-bert, task-spanlab, task-seq2seq, task-relation, task-tree |
1 |
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning |
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li |
https://www.aclweb.org/anthology/D19-1170.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, loss-svd, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
0 |
Neural Cross-Lingual Event Detection with Minimal Parallel Resources |
Jian Liu, Yubo Chen, Kang Liu, Jun Zhao |
https://www.aclweb.org/anthology/D19-1068.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-bert, loss-nce, task-textpair, task-lm |
4 |
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning |
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren |
https://www.aclweb.org/anthology/D19-1282.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, struct-crf, task-textclass, task-tree |
0 |
Reconstructing Capsule Networks for Zero-shot Intent Classification |
Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y.S. Lam |
https://www.aclweb.org/anthology/D19-1486.pdf |
2019 |
EMNLP |
# optim-adam, arch-lstm, arch-coverage, comb-ensemble, pre-word2vec, struct-crf, task-textclass |
0 |
Coverage of Information Extraction from Sentences and Paragraphs |
Simon Razniewski, Nitisha Jain, Paramita Mirza, Gerhard Weikum |
https://www.aclweb.org/anthology/D19-1583.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-lstm, arch-bilstm, task-relation |
0 |
Multilingual Grammar Induction with Continuous Language Identification |
Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu |
https://www.aclweb.org/anthology/D19-1576.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-bert, struct-crf |
1 |
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding |
Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu |
https://www.aclweb.org/anthology/D19-1214.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, struct-crf, adv-train, task-seqlab, task-seq2seq |
3 |
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning |
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang |
https://www.aclweb.org/anthology/D19-1466.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, norm-batch, train-mtl, arch-bilinear, loss-svd |
14 |
TuckER: Tensor Factorization for Knowledge Graph Completion |
Ivana Balazevic, Carl Allen, Timothy Hospedales |
https://www.aclweb.org/anthology/D19-1522.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, search-viterbi, struct-crf, task-textclass, task-seqlab |
0 |
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network |
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
https://www.aclweb.org/anthology/D19-1396.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, search-viterbi, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-seq2seq |
0 |
Leveraging Medical Literature for Section Prediction in Electronic Health Records |
Sara Rosenthal, Ken Barker, Zhicheng Liang |
https://www.aclweb.org/anthology/D19-1492.pdf |
2019 |
EMNLP |
# optim-adam, 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, optim-projection, train-mll, train-augment, arch-lstm, arch-bilstm, task-relation |
0 |
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers |
Adam Fisch, Jiang Guo, Regina Barzilay |
https://www.aclweb.org/anthology/D19-1574.pdf |
2019 |
EMNLP |
# optim-adam, arch-att, arch-selfatt, arch-energy, pre-bert, task-spanlab |
4 |
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering |
Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang |
https://www.aclweb.org/anthology/D19-1599.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, latent-topic, task-lm |
0 |
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation |
Binxuan Huang, Kathleen Carley |
https://www.aclweb.org/anthology/D19-1480.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-elmo, pre-bert, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq, task-cloze |
6 |
Text Summarization with Pretrained Encoders |
Yang Liu, Mirella Lapata |
https://www.aclweb.org/anthology/D19-1387.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-stopping, train-mll, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-spanlab, task-lm, task-seq2seq |
1 |
Retrofitting Contextualized Word Embeddings with Paraphrases |
Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang |
https://www.aclweb.org/anthology/D19-1113.pdf |
2019 |
EMNLP |
# 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-lstm, arch-att, arch-selfatt, task-spanlab, task-seq2seq |
0 |
Question-type Driven Question Generation |
Wenjie Zhou, Minghua Zhang, Yunfang Wu |
https://www.aclweb.org/anthology/D19-1622.pdf |
2019 |
EMNLP |
# optim-adam, 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-adam, reg-dropout, reg-stopping, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-tree |
1 |
What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering |
Tushar Khot, Ashish Sabharwal, Peter Clark |
https://www.aclweb.org/anthology/D19-1281.pdf |
2019 |
EMNLP |
# optim-adam, arch-cnn, arch-coverage |
0 |
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts |
Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O’Connor, Mohit Iyyer |
https://www.aclweb.org/anthology/D19-1666.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, init-glorot, arch-att, arch-bilinear, task-relation, task-tree |
0 |
Dependency Parsing for Spoken Dialog Systems |
Sam Davidson, Dian Yu, Zhou Yu |
https://www.aclweb.org/anthology/D19-1162.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-selfatt |
0 |
Neural News Recommendation with Multi-Head Self-Attention |
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie |
https://www.aclweb.org/anthology/D19-1671.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use |
1 |
, abs |
|
https://www.aclweb.org/anthology/D19-1682.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, arch-lstm, arch-bilstm, arch-cnn, nondif-reinforce, adv-examp, task-textclass, task-seq2seq |
0 |
Adversarial Reprogramming of Text Classification Neural Networks |
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar |
https://www.aclweb.org/anthology/D19-1525.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-subword, struct-crf, latent-topic, task-seqlab, task-seq2seq |
1 |
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers |
Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell |
https://www.aclweb.org/anthology/D19-1520.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, arch-cnn, arch-att, comb-ensemble, pre-bert, struct-crf |
0 |
Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge |
Kazuma Kadowaki, Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer |
https://www.aclweb.org/anthology/D19-1590.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-decay, norm-layer, train-mll, train-parallel, arch-rnn, arch-att, arch-subword, arch-transformer, search-greedy, search-beam, pre-bert, task-lm, task-seq2seq, task-cloze |
2 |
Mask-Predict: Parallel Decoding of Conditional Masked Language Models |
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1633.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, adv-train, task-lm, task-seq2seq |
0 |
Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification |
Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun |
https://www.aclweb.org/anthology/D19-1553.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, task-seq2seq |
0 |
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space |
Kawin Ethayarajh |
https://www.aclweb.org/anthology/D19-1354.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-stopping, train-mll, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-seq2seq |
0 |
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification |
Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun |
https://www.aclweb.org/anthology/D19-1554.pdf |
2019 |
EMNLP |
# optim-adam, pool-mean, arch-rnn, arch-lstm, pre-glove, task-seqlab, task-seq2seq |
0 |
Extracting Possessions from Social Media: Images Complement Language |
Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco |
https://www.aclweb.org/anthology/D19-1061.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-cloze |
3 |
Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs |
Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic, Samuel R. Bowman |
https://www.aclweb.org/anthology/D19-1286.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, reg-norm, arch-lstm, arch-att, arch-memo, nondif-reinforce, latent-topic |
0 |
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning |
Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou |
https://www.aclweb.org/anthology/D19-1560.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, pre-word2vec, pre-glove, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
8 |
Universal Adversarial Triggers for Attacking and Analyzing NLP |
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh |
https://www.aclweb.org/anthology/D19-1221.pdf |
2019 |
EMNLP |
# optim-adam, arch-att, arch-selfatt, arch-coverage, pre-bert, nondif-reinforce, latent-vae, task-spanlab, task-tree |
2 |
A Discrete Hard EM Approach for Weakly Supervised Question Answering |
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1284.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-coverage, arch-subword, pre-fasttext, loss-svd, task-textpair, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment |
0 |
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? |
Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen |
https://www.aclweb.org/anthology/D19-1449.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, task-seq2seq, task-graph |
2 |
VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling |
Andrea Di Fabio, Simone Conia, Roberto Navigli |
https://www.aclweb.org/anthology/D19-1058.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, pre-word2vec, pre-fasttext, task-textclass, task-seq2seq |
0 |
ProSeqo: Projection Sequence Networks for On-Device Text Classification |
Zornitsa Kozareva, Sujith Ravi |
https://www.aclweb.org/anthology/D19-1402.pdf |
2019 |
EMNLP |
# optim-adam, arch-att, arch-transformer, comb-ensemble, pre-bert, task-lm, task-condlm, task-cloze, task-tree |
11 |
Fusion of Detected Objects in Text for Visual Question Answering |
Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter |
https://www.aclweb.org/anthology/D19-1219.pdf |
2019 |
EMNLP |
# optim-adam, arch-cnn, arch-att, arch-coverage, pre-glove, pre-bert, latent-topic, task-spanlab |
1 |
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives |
Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, Norman Sadeh |
https://www.aclweb.org/anthology/D19-1500.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, reg-dropout, train-mtl, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-coverage, pre-word2vec, latent-topic, task-spanlab, task-seq2seq |
0 |
A Neural Citation Count Prediction Model based on Peer Review Text |
Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen |
https://www.aclweb.org/anthology/D19-1497.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-recnn, arch-cnn, arch-att, arch-memo, arch-copy, comb-ensemble, pre-word2vec, task-tree |
0 |
Tree-structured Decoding for Solving Math Word Problems |
Qianying Liu, Wenyv Guan, Sujian Li, Daisuke Kawahara |
https://www.aclweb.org/anthology/D19-1241.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, comb-ensemble, search-beam, pre-bert, task-lm, task-seq2seq |
0 |
Exploiting Monolingual Data at Scale for Neural Machine Translation |
Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1430.pdf |
2019 |
EMNLP |
# optim-adam, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, pre-use, loss-triplet, task-textpair |
5 |
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks |
Nils Reimers, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1410.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-subword, struct-crf, task-lm |
0 |
Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary |
Adithya Renduchintala, Philipp Koehn, Jason Eisner |
https://www.aclweb.org/anthology/D19-1679.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, search-beam, task-lm, task-relation, task-tree |
0 |
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal |
Benoit Crabbé, Murielle Fabre, Christophe Pallier |
https://www.aclweb.org/anthology/D19-1106.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-att, arch-selfatt, pre-bert, task-spanlab, task-lm |
3 |
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning |
Pradeep Dasigi, Nelson F. Liu, Ana Marasović, Noah A. Smith, Matt Gardner |
https://www.aclweb.org/anthology/D19-1606.pdf |
2019 |
EMNLP |
# optim-adam, train-mll, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-memo, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq |
0 |
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations |
Mingda Chen, Zewei Chu, Kevin Gimpel |
https://www.aclweb.org/anthology/D19-1060.pdf |
2019 |
EMNLP |
# optim-adam, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, pre-word2vec, pre-elmo, task-lm, task-seq2seq, task-tree |
0 |
A Unified Neural Coherence Model |
Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty, Chi Xu |
https://www.aclweb.org/anthology/D19-1231.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seq2seq, task-relation, task-alignment |
0 |
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank |
Meishan Zhang, Yue Zhang, Guohong Fu |
https://www.aclweb.org/anthology/D19-1092.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm |
0 |
Neural Duplicate Question Detection without Labeled Training Data |
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1171.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-energy, search-sampling, pre-glove, struct-crf, task-textpair, task-lm, task-condlm, task-seq2seq |
0 |
Autoregressive Text Generation Beyond Feedback Loops |
Florian Schmidt, Stephan Mandt, Thomas Hofmann |
https://www.aclweb.org/anthology/D19-1338.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Mixture Content Selection for Diverse Sequence Generation |
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/D19-1308.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm |
0 |
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization |
Daniel Deutsch, Dan Roth |
https://www.aclweb.org/anthology/D19-1386.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-adadelta, reg-decay, arch-lstm, arch-recnn, arch-treelstm, arch-att, arch-coverage, search-beam, pre-glove, struct-cfg, nondif-reinforce, latent-vae, task-textpair, task-lm, task-condlm |
5 |
Cooperative Learning of Disjoint Syntax and Semantics |
Serhii Havrylov, Germán Kruszewski, Armand Joulin |
https://www.aclweb.org/anthology/N19-1115.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-coverage, pre-word2vec, struct-crf, latent-vae, loss-nce, task-seqlab, task-relation |
0 |
Neural Chinese Address Parsing |
Hao Li, Wei Lu, Pengjun Xie, Linlin Li |
https://www.aclweb.org/anthology/N19-1346.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, pre-elmo, loss-cca, loss-svd, task-seqlab, task-lm, task-seq2seq |
13 |
Understanding Learning Dynamics Of Language Models with SVCCA |
Naomi Saphra, Adam Lopez |
https://www.aclweb.org/anthology/N19-1329.pdf |
2019 |
NAA-CL |
# 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 |
# optim-adam, optim-projection, arch-coverage, pre-glove, latent-topic |
5 |
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings |
Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky |
https://www.aclweb.org/anthology/N19-1304.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, train-mll, arch-lstm, task-lm, task-alignment |
2 |
A Probabilistic Generative Model of Linguistic Typology |
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein |
https://www.aclweb.org/anthology/N19-1156.pdf |
2019 |
NAA-CL |
# optim-adam, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, latent-vae |
3 |
Be Consistent! Improving Procedural Text Comprehension using Label Consistency |
Xinya Du, Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie |
https://www.aclweb.org/anthology/N19-1244.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, struct-crf, task-textclass, task-lm, task-seq2seq |
5 |
Improving Lemmatization of Non-Standard Languages with Joint Learning |
Enrique Manjavacas, Ákos Kádár, Mike Kestemont |
https://www.aclweb.org/anthology/N19-1153.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-glove, pre-elmo, task-textpair, task-lm, task-condlm, task-seq2seq, task-tree |
1 |
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting |
J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme |
https://www.aclweb.org/anthology/N19-1090.pdf |
2019 |
NAA-CL |
# optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, search-beam |
19 |
MuST-C: a Multilingual Speech Translation Corpus |
Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, Marco Turchi |
https://www.aclweb.org/anthology/N19-1202.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, train-mll, arch-att, arch-subword, pre-word2vec, task-condlm, task-seq2seq, task-lexicon |
1 |
Cross-lingual Visual Verb Sense Disambiguation |
Spandana Gella, Desmond Elliott, Frank Keller |
https://www.aclweb.org/anthology/N19-1200.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment |
12 |
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog |
Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis |
https://www.aclweb.org/anthology/N19-1380.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, train-parallel, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-tree |
0 |
Understanding and Improving Hidden Representations for Neural Machine Translation |
Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi |
https://www.aclweb.org/anthology/N19-1046.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, struct-crf, task-textclass, task-seq2seq |
3 |
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition |
Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/N19-1037.pdf |
2019 |
NAA-CL |
# 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, train-active, arch-coverage, comb-ensemble, struct-hmm, struct-crf, task-textclass, task-seqlab |
2 |
Active Learning for New Domains in Natural Language Understanding |
Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas |
https://www.aclweb.org/anthology/N19-2012.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, task-spanlab, task-seq2seq |
0 |
Online Distilling from Checkpoints for Neural Machine Translation |
Hao-Ran Wei, Shujian Huang, Ran Wang, Xin-yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1192.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-seq2seq, task-tree |
1 |
PoMo: Generating Entity-Specific Post-Modifiers in Context |
Jun Seok Kang, Robert Logan, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian |
https://www.aclweb.org/anthology/N19-1089.pdf |
2019 |
NAA-CL |
# optim-adam, comb-ensemble, struct-crf |
2 |
Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach |
Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann |
https://www.aclweb.org/anthology/N19-1038.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-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-sgd, optim-adam, optim-adagrad, optim-projection, reg-norm, arch-lstm, arch-bilstm, arch-memo, pre-glove, latent-topic, task-lexicon |
1 |
Sentence Embedding Alignment for Lifelong Relation Extraction |
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang |
https://www.aclweb.org/anthology/N19-1086.pdf |
2019 |
NAA-CL |
# 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-adam, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, task-textclass, task-spanlab, task-lm, task-cloze |
19 |
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis |
Hu Xu, Bing Liu, Lei Shu, Philip Yu |
https://www.aclweb.org/anthology/N19-1242.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, task-lm |
3 |
Recursive Routing Networks: Learning to Compose Modules for Language Understanding |
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen |
https://www.aclweb.org/anthology/N19-1365.pdf |
2019 |
NAA-CL |
# optim-adam, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-alignment |
3 |
Curriculum Learning for Domain Adaptation in Neural Machine Translation |
Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh |
https://www.aclweb.org/anthology/N19-1189.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm |
3 |
Mining Discourse Markers for Unsupervised Sentence Representation Learning |
Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller |
https://www.aclweb.org/anthology/N19-1351.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, reg-decay, train-active, arch-lstm, pre-word2vec, latent-vae, task-textclass, task-seqlab |
0 |
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks |
Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou |
https://www.aclweb.org/anthology/N19-1295.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, pre-glove, struct-crf, task-lm, task-seq2seq |
0 |
Early Rumour Detection |
Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau |
https://www.aclweb.org/anthology/N19-1163.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-decay, norm-batch, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, task-lm, task-seq2seq |
23 |
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation |
Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater |
https://www.aclweb.org/anthology/N19-1006.pdf |
2019 |
NAA-CL |
# optim-adam, arch-att, arch-coverage, search-beam, task-seq2seq |
0 |
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting |
Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang, Vikas Bhardwaj |
https://www.aclweb.org/anthology/N19-2007.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, optim-projection, pre-word2vec, pre-glove |
46 |
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them |
Hila Gonen, Yoav Goldberg |
https://www.aclweb.org/anthology/N19-1061.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, train-mtl, train-mll, arch-att, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-use, latent-vae, task-textclass, task-textpair, task-seq2seq |
2 |
Correlation Coefficients and Semantic Textual Similarity |
Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Hammerla |
https://www.aclweb.org/anthology/N19-1100.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 |
# optim-adam, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq |
2 |
Jointly Extracting and Compressing Documents with Summary State Representations |
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen |
https://www.aclweb.org/anthology/N19-1397.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-transfer, arch-lstm, arch-cnn, arch-memo, latent-vae, task-lm |
3 |
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling |
Prince Zizhuang Wang, William Yang Wang |
https://www.aclweb.org/anthology/N19-1025.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree |
4 |
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases |
Yu Chen, Lingfei Wu, Mohammed J. Zaki |
https://www.aclweb.org/anthology/N19-1299.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation |
3 |
Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging |
Apostolos Kemos, Heike Adel, Hinrich Schütze |
https://www.aclweb.org/anthology/N19-1280.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment |
0 |
Zero-Shot Cross-Lingual Opinion Target Extraction |
Soufian Jebbara, Philipp Cimiano |
https://www.aclweb.org/anthology/N19-1257.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, task-textpair |
0 |
Using Natural Language Relations between Answer Choices for Machine Comprehension |
Rajkumar Pujari, Dan Goldwasser |
https://www.aclweb.org/anthology/N19-1403.pdf |
2019 |
NAA-CL |
# 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-adam, arch-lstm, arch-gru, arch-att, latent-vae, task-seq2seq, task-lexicon |
3 |
Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms |
Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard Hovy |
https://www.aclweb.org/anthology/N19-1364.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-lstm, arch-coverage, pre-word2vec, struct-crf, task-seqlab |
1 |
TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy |
Lin Sun, Kai Zhang, Fule Ji, Zhenhua Yang |
https://www.aclweb.org/anthology/N19-2022.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-transfer, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq |
7 |
Non-Parametric Adaptation for Neural Machine Translation |
Ankur Bapna, Orhan Firat |
https://www.aclweb.org/anthology/N19-1191.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, norm-gradient, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-memo, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seq2seq, task-relation |
3 |
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations |
Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang |
https://www.aclweb.org/anthology/N19-1118.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-seq2seq, task-tree |
2 |
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems |
Ting-Rui Chiang, Yun-Nung Chen |
https://www.aclweb.org/anthology/N19-1272.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, pool-max, arch-cnn, arch-att, adv-train, latent-vae, task-textclass |
0 |
Exploiting Noisy Data in Distant Supervision Relation Classification |
Kaijia Yang, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1325.pdf |
2019 |
NAA-CL |
# optim-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-adam, optim-projection, init-glorot, loss-svd, task-textpair |
0 |
Fact Discovery from Knowledge Base via Facet Decomposition |
Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam |
https://www.aclweb.org/anthology/N19-1297.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 |
# optim-adam, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-glove, struct-crf, task-seqlab, task-lm |
0 |
VCWE: Visual Character-Enhanced Word Embeddings |
Chi Sun, Xipeng Qiu, Xuanjing Huang |
https://www.aclweb.org/anthology/N19-1277.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, adv-examp, task-seq2seq |
5 |
Neural Machine Translation of Text from Non-Native Speakers |
Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, David Chiang |
https://www.aclweb.org/anthology/N19-1311.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, search-greedy, search-beam, struct-crf, struct-cfg, task-seqlab, task-relation |
1 |
Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle |
Maximin Coavoux, Shay B. Cohen |
https://www.aclweb.org/anthology/N19-1018.pdf |
2019 |
NAA-CL |
# optim-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 |
# optim-adam, optim-projection, pre-word2vec, task-seqlab |
7 |
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings |
Thomas Manzini, Lim Yao Chong, Alan W Black, Yulia Tsvetkov |
https://www.aclweb.org/anthology/N19-1062.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, arch-coverage, struct-crf |
4 |
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media |
Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James Glass, Preslav Nakov |
https://www.aclweb.org/anthology/N19-1216.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, norm-batch, train-mtl, train-transfer, struct-cfg, adv-train, latent-topic, task-seq2seq |
5 |
Detecting cognitive impairments by agreeing on interpretations of linguistic features |
Zining Zhu, Jekaterina Novikova, Frank Rudzicz |
https://www.aclweb.org/anthology/N19-1146.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-elmo, task-textclass, task-lm, task-seq2seq |
10 |
Pre-trained language model representations for language generation |
Sergey Edunov, Alexei Baevski, Michael Auli |
https://www.aclweb.org/anthology/N19-1409.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, latent-vae, loss-nce, task-seq2seq |
0 |
Learning to Decipher Hate Symbols |
Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang |
https://www.aclweb.org/anthology/N19-1305.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-dropout, train-augment, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, task-seq2seq, task-tree |
1 |
Iterative Search for Weakly Supervised Semantic Parsing |
Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard Hovy |
https://www.aclweb.org/anthology/N19-1273.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-glove, task-textpair, task-lm, task-seq2seq |
1 |
Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation |
Wei-Jen Ko, Greg Durrett, Junyi Jessy Li |
https://www.aclweb.org/anthology/N19-1349.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-cnn, pre-glove |
4 |
Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media |
Shi Zong, Alan Ritter, Graham Mueller, Evan Wright |
https://www.aclweb.org/anthology/N19-1140.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 |
# optim-adam, reg-dropout, reg-norm, arch-rnn, arch-gru, arch-att, search-beam, loss-nce, task-textclass, task-seq2seq |
3 |
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction |
Kechen Qin, Cheng Li, Virgil Pavlu, Javed Aslam |
https://www.aclweb.org/anthology/N19-1321.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
7 |
Polyglot Contextual Representations Improve Crosslingual Transfer |
Phoebe Mulcaire, Jungo Kasai, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1392.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-fasttext, loss-svd, task-condlm |
2 |
AudioCaps: Generating Captions for Audios in The Wild |
Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim |
https://www.aclweb.org/anthology/N19-1011.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-memo, pre-glove, loss-nce, task-spanlab, task-lm, task-seq2seq |
0 |
Harry Potter and the Action Prediction Challenge from Natural Language |
David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/N19-1218.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-gating, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, task-relation |
3 |
Learning to Denoise Distantly-Labeled Data for Entity Typing |
Yasumasa Onoe, Greg Durrett |
https://www.aclweb.org/anthology/N19-1250.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, task-textpair |
0 |
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification |
Santosh Tokala, Vishal G, Avirup Saha, Niloy Ganguly |
https://www.aclweb.org/anthology/N19-1230.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, task-extractive, task-seq2seq, task-relation |
4 |
Single Document Summarization as Tree Induction |
Yang Liu, Ivan Titov, Mirella Lapata |
https://www.aclweb.org/anthology/N19-1173.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-stopping, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation |
0 |
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning |
Han Guo, Ramakanth Pasunuru, Mohit Bansal |
https://www.aclweb.org/anthology/N19-1355.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation |
6 |
Guiding Extractive Summarization with Question-Answering Rewards |
Kristjan Arumae, Fei Liu |
https://www.aclweb.org/anthology/N19-1264.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seqlab |
1 |
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features |
Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin |
https://www.aclweb.org/anthology/N19-2008.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-cnn, arch-att, pre-glove, struct-crf, task-seqlab |
2 |
Entity Recognition at First Sight: Improving NER with Eye Movement Information |
Nora Hollenstein, Ce Zhang |
https://www.aclweb.org/anthology/N19-1001.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, task-seqlab |
0 |
On the Idiosyncrasies of the Mandarin Chinese Classifier System |
Shijia Liu, Hongyuan Mei, Adina Williams, Ryan Cotterell |
https://www.aclweb.org/anthology/N19-1415.pdf |
2019 |
NAA-CL |
# optim-adam, train-augment, pre-glove, pre-elmo, pre-bert, task-lm |
24 |
Gender Bias in Contextualized Word Embeddings |
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang |
https://www.aclweb.org/anthology/N19-1064.pdf |
2019 |
NAA-CL |
# optim-adam, comb-ensemble |
0 |
A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd |
Tristan Miller, Maria Sukhareva, Iryna Gurevych |
https://www.aclweb.org/anthology/N19-1177.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm, task-seq2seq |
0 |
Conversation Initiation by Diverse News Contents Introduction |
Satoshi Akasaki, Nobuhiro Kaji |
https://www.aclweb.org/anthology/N19-1400.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, task-lm, task-seq2seq, task-tree, task-graph |
3 |
Neural Text Generation from Rich Semantic Representations |
Valerie Hajdik, Jan Buys, Michael Wayne Goodman, Emily M. Bender |
https://www.aclweb.org/anthology/N19-1235.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, norm-gradient, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, struct-crf, adv-examp, adv-train, task-textclass, task-lm, task-condlm |
3 |
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems |
Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych |
https://www.aclweb.org/anthology/N19-1165.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, search-viterbi, loss-svd, task-lm, task-seq2seq |
0 |
Enabling Real-time Neural IME with Incremental Vocabulary Selection |
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama |
https://www.aclweb.org/anthology/N19-2001.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-relation, task-tree |
0 |
Decomposed Local Models for Coordinate Structure Parsing |
Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto |
https://www.aclweb.org/anthology/N19-1343.pdf |
2019 |
NAA-CL |
# optim-adam, arch-att, search-viterbi, task-tree, task-graph |
3 |
The problem with probabilistic DAG automata for semantic graphs |
Ieva Vasiljeva, Sorcha Gilroy, Adam Lopez |
https://www.aclweb.org/anthology/N19-1096.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, train-mll, arch-subword, pre-fasttext, latent-vae, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment |
5 |
Density Matching for Bilingual Word Embedding |
Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig |
https://www.aclweb.org/anthology/N19-1161.pdf |
2019 |
NAA-CL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-bert, struct-crf, task-textclass, task-textpair, task-lm, task-seq2seq, task-alignment |
0 |
Alignment over Heterogeneous Embeddings for Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/N19-1274.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, reg-stopping, train-mtl, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, search-viterbi, pre-glove, struct-crf, task-relation, task-tree, task-alignment |
2 |
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling |
Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1259.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, struct-crf |
0 |
Subword-Level Language Identification for Intra-Word Code-Switching |
Manuel Mager, Özlem Çetinoğlu, Katharina Kann |
https://www.aclweb.org/anthology/N19-1201.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-greedy, nondif-gumbelsoftmax, adv-train, task-lm, task-condlm, task-seq2seq |
2 |
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation |
Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do Omri, Ahmad Rashid |
https://www.aclweb.org/anthology/N19-1234.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adagrad, arch-lstm, arch-att, arch-coverage, search-beam, task-extractive, task-seq2seq, task-tree |
4 |
Question Answering as an Automatic Evaluation Metric for News Article Summarization |
Matan Eyal, Tal Baumel, Michael Elhadad |
https://www.aclweb.org/anthology/N19-1395.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, search-beam, latent-topic, task-seq2seq |
2 |
Microblog Hashtag Generation via Encoding Conversation Contexts |
Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi |
https://www.aclweb.org/anthology/N19-1164.pdf |
2019 |
NAA-CL |
# optim-adam, optim-adadelta, optim-projection, norm-gradient, train-mtl, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, search-beam, task-lm, task-seq2seq |
2 |
Acoustic-to-Word Models with Conversational Context Information |
Suyoun Kim, Florian Metze |
https://www.aclweb.org/anthology/N19-1283.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, arch-lstm, arch-gru, search-beam, task-lm, task-seq2seq |
8 |
Jointly Optimizing Diversity and Relevance in Neural Response Generation |
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan |
https://www.aclweb.org/anthology/N19-1125.pdf |
2019 |
NAA-CL |
# optim-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-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-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-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 |
# optim-adam, comb-ensemble, pre-word2vec, latent-topic |
1 |
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process |
Dingcheng Li, Siamak Zamani, Jingyuan Zhang, Ping Li |
https://www.aclweb.org/anthology/N19-1099.pdf |
2019 |
NAA-CL |
# optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, task-lm, task-relation |
6 |
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages |
Shauli Ravfogel, Yoav Goldberg, Tal Linzen |
https://www.aclweb.org/anthology/N19-1356.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, norm-layer, train-augment, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-word2vec, task-seq2seq, task-tree, task-graph |
2 |
Factorising AMR generation through syntax |
Kris Cao, Stephen Clark |
https://www.aclweb.org/anthology/N19-1223.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq |
0 |
Disentangling Language and Knowledge in Task-Oriented Dialogs |
Dinesh Raghu, Nikhil Gupta, Mausam |
https://www.aclweb.org/anthology/N19-1126.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove |
3 |
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis |
Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/N19-1034.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, arch-lstm, arch-att, arch-memo, adv-train, task-textclass, task-seqlab, task-spanlab, task-seq2seq |
0 |
Document-Level Event Factuality Identification via Adversarial Neural Network |
Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
https://www.aclweb.org/anthology/N19-1287.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq |
4 |
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension |
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao |
https://www.aclweb.org/anthology/N19-1271.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment |
9 |
PAWS: Paraphrase Adversaries from Word Scrambling |
Yuan Zhang, Jason Baldridge, Luheng He |
https://www.aclweb.org/anthology/N19-1131.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-coverage, pre-glove, pre-elmo, struct-hmm, task-textpair, task-seq2seq |
3 |
Incorporating Context and External Knowledge for Pronoun Coreference Resolution |
Hongming Zhang, Yan Song, Yangqiu Song |
https://www.aclweb.org/anthology/N19-1093.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation, task-lexicon |
12 |
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing |
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson |
https://www.aclweb.org/anthology/N19-1162.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, arch-lstm, arch-att, comb-ensemble, struct-hmm, task-textclass |
2 |
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations |
Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun |
https://www.aclweb.org/anthology/N19-1296.pdf |
2019 |
NAA-CL |
# optim-adam, init-glorot, arch-att, arch-bilinear |
3 |
Graph Pattern Entity Ranking Model for Knowledge Graph Completion |
Takuma Ebisu, Ryutaro Ichise |
https://www.aclweb.org/anthology/N19-1104.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, train-mll, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, pre-word2vec, task-seq2seq, task-relation, task-alignment |
2 |
Low-Resource Syntactic Transfer with Unsupervised Source Reordering |
Mohammad Sadegh Rasooli, Michael Collins |
https://www.aclweb.org/anthology/N19-1385.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, pre-elmo, task-spanlab, task-seq2seq |
7 |
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering |
Yu Cao, Meng Fang, Dacheng Tao |
https://www.aclweb.org/anthology/N19-1032.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, norm-gradient, train-mll, train-augment, arch-rnn, arch-lstm, arch-att, arch-energy, task-condlm, task-seq2seq, task-relation |
7 |
A Simple Joint Model for Improved Contextual Neural Lemmatization |
Chaitanya Malaviya, Shijie Wu, Ryan Cotterell |
https://www.aclweb.org/anthology/N19-1155.pdf |
2019 |
NAA-CL |
# optim-adam, 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 |
# 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, arch-memo, task-tree |
4 |
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters |
Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, Gerhard Weikum |
https://www.aclweb.org/anthology/N19-1027.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 |
# optim-adam, optim-projection, train-transfer, pool-max, pool-mean, arch-lstm, arch-att, arch-memo, arch-bilinear, pre-word2vec, pre-glove, task-textclass, task-seqlab |
1 |
Description-Based Zero-shot Fine-Grained Entity Typing |
Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli |
https://www.aclweb.org/anthology/N19-1087.pdf |
2019 |
NAA-CL |
# optim-adam, reg-decay, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, comb-ensemble, pre-glove |
0 |
On Knowledge distillation from complex networks for response prediction |
Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy |
https://www.aclweb.org/anthology/N19-1382.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, arch-lstm, arch-att, pre-glove, pre-bert, task-spanlab, task-seq2seq |
3 |
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring |
Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen |
https://www.aclweb.org/anthology/N19-2004.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq |
10 |
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets |
Nelson F. Liu, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1225.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, activ-tanh, arch-rnn, arch-lstm, arch-att, arch-memo, pre-glove, task-seq2seq |
3 |
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding |
Jonggu Kim, Jong-Hyeok Lee |
https://www.aclweb.org/anthology/N19-1372.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-att, task-seqlab, task-lm |
1 |
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering |
Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren |
https://www.aclweb.org/anthology/N19-1294.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, struct-crf, task-seqlab |
1 |
Neural Lexicons for Slot Tagging in Spoken Language Understanding |
Kyle Williams |
https://www.aclweb.org/anthology/N19-2011.pdf |
2019 |
NAA-CL |
# optim-adam, 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 |
# optim-adam, arch-att, task-lm |
3 |
Short-Term Meaning Shift: A Distributional Exploration |
Marco Del Tredici, Raquel Fernández, Gemma Boleda |
https://www.aclweb.org/anthology/N19-1210.pdf |
2019 |
NAA-CL |
# optim-adam, norm-batch, arch-lstm, arch-att, arch-bilinear, adv-feat, adv-train, task-condlm, task-seq2seq |
0 |
The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding |
Yiqun Yao, Jiaming Xu, Bo Xu |
https://www.aclweb.org/anthology/N19-1266.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, init-glorot, reg-dropout, reg-labelsmooth, norm-batch, arch-cnn, arch-att, arch-bilinear, task-textpair |
2 |
Adaptive Convolution for Multi-Relational Learning |
Xiaotian Jiang, Quan Wang, Bin Wang |
https://www.aclweb.org/anthology/N19-1103.pdf |
2019 |
NAA-CL |
# optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, search-beam |
9 |
CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog |
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach |
https://www.aclweb.org/anthology/N19-1058.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-decay, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze |
3209 |
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
https://www.aclweb.org/anthology/N19-1423.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, norm-layer, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, search-greedy, search-beam, struct-cfg, nondif-gumbelsoftmax, task-lm, task-seq2seq |
5 |
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation |
Xing Niu, Weijia Xu, Marine Carpuat |
https://www.aclweb.org/anthology/N19-1043.pdf |
2019 |
NAA-CL |
# optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-elmo |
2 |
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs |
Debjit Paul, Anette Frank |
https://www.aclweb.org/anthology/N19-1368.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-worddropout, norm-layer, arch-rnn, arch-lstm, arch-att, pre-glove, nondif-reinforce, latent-vae, task-lm, task-condlm, task-seq2seq, task-tree |
4 |
SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression |
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos |
https://www.aclweb.org/anthology/N19-1071.pdf |