Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# optim-adam, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, search-beam, pre-bert, latent-vae, task-condlm, task-seq2seq |
1 |
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems |
Hung Le, Doyen Sahoo, Nancy Chen, Steven Hoi |
https://www.aclweb.org/anthology/P19-1564.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-stopping, 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-sgd, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-bilinear, comb-ensemble, struct-crf, struct-cfg, task-seqlab, task-relation |
2 |
Sequence Labeling Parsing by Learning across Representations |
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/P19-1531.pdf |
2019 |
ACL |
# optim-adam, 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, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, task-lm, task-condlm |
1 |
Generating Question Relevant Captions to Aid Visual Question Answering |
Jialin Wu, Zeyuan Hu, Raymond Mooney |
https://www.aclweb.org/anthology/P19-1348.pdf |
2019 |
ACL |
# optim-adam, optim-projection, arch-rnn, arch-cnn, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, task-lm, task-relation |
0 |
Global Textual Relation Embedding for Relational Understanding |
Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su |
https://www.aclweb.org/anthology/P19-1127.pdf |
2019 |
ACL |
# reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-relation |
8 |
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank |
Junru Zhou, Hai Zhao |
https://www.aclweb.org/anthology/P19-1230.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, reg-labelsmooth, train-mtl, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, struct-cfg, task-textclass, task-lm, task-seq2seq, task-relation |
1 |
Scalable Syntax-Aware Language Models Using Knowledge Distillation |
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom |
https://www.aclweb.org/anthology/P19-1337.pdf |
2019 |
ACL |
# optim-adam, 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-projection, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, comb-ensemble, pre-fasttext, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon |
3 |
Massively Multilingual Transfer for NER |
Afshin Rahimi, Yuan Li, Trevor Cohn |
https://www.aclweb.org/anthology/P19-1015.pdf |
2019 |
ACL |
# optim-sgd, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-seqlab, task-seq2seq |
0 |
End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories |
Rui Mao, Chenghua Lin, Frank Guerin |
https://www.aclweb.org/anthology/P19-1378.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-skipthought, pre-bert, task-seqlab |
0 |
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations |
Sumeet Kumar, Kathleen Carley |
https://www.aclweb.org/anthology/P19-1498.pdf |
2019 |
ACL |
# optim-adam, 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-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, 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 |
# init-glorot, train-transfer, comb-ensemble, pre-word2vec, adv-train, task-lexicon |
0 |
Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes |
Marina Sedinkina, Nikolas Breitkopf, Hinrich Schütze |
https://www.aclweb.org/anthology/P19-1034.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, pool-max, arch-rnn, arch-lstm, comb-ensemble, search-greedy, task-textclass, task-lm, task-condlm, task-seq2seq |
3 |
A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification |
Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun |
https://www.aclweb.org/anthology/P19-1518.pdf |
2019 |
ACL |
# optim-projection, reg-dropout, train-mll, arch-rnn, arch-att, comb-ensemble, struct-hmm, task-seq2seq, task-relation, task-tree |
0 |
Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages |
Garrett Nicolai, David Yarowsky |
https://www.aclweb.org/anthology/P19-1172.pdf |
2019 |
ACL |
# optim-adam, 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, 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-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-residual, arch-memo, comb-ensemble, pre-glove, task-textpair, task-condlm, task-tree |
2 |
Simple and Effective Text Matching with Richer Alignment Features |
Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen |
https://www.aclweb.org/anthology/P19-1465.pdf |
2019 |
ACL |
# optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, norm-gradient, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-glove, task-tree |
2 |
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network |
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/P19-1423.pdf |
2019 |
ACL |
# optim-adam, optim-projection, 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, 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, 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, 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-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-adadelta, train-mll, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, comb-ensemble, pre-word2vec, pre-elmo, adv-train, task-lm, task-seq2seq |
0 |
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning |
Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1429.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq |
10 |
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog |
Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1648.pdf |
2019 |
ACL |
# reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-glove, struct-crf, adv-train, task-seqlab |
1 |
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records |
Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann |
https://www.aclweb.org/anthology/P19-1584.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-elmo, pre-bert, task-seqlab, task-spanlab, task-seq2seq |
0 |
MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension |
Xuanyu Zhang |
https://www.aclweb.org/anthology/P19-1622.pdf |
2019 |
ACL |
# optim-adam, 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 |
# train-transfer, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq |
1 |
Domain Adaptive Inference for Neural Machine Translation |
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne |
https://www.aclweb.org/anthology/P19-1022.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, 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 |
# train-mll, pool-max, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, task-textpair, task-extractive, task-seq2seq |
3 |
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization |
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu |
https://www.aclweb.org/anthology/P19-1098.pdf |
2019 |
ACL |
# optim-adam, 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 |
# arch-att, arch-transformer, comb-ensemble, search-beam, pre-bert, task-spanlab, task-lm, task-seq2seq |
9 |
Synthetic QA Corpora Generation with Roundtrip Consistency |
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins |
https://www.aclweb.org/anthology/P19-1620.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, 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, arch-lstm, arch-att, arch-coverage, comb-ensemble, latent-vae, task-relation |
0 |
Data Programming for Learning Discourse Structure |
Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher |
https://www.aclweb.org/anthology/P19-1061.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, comb-ensemble, pre-glove, latent-topic, task-condlm |
1 |
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts |
Alakananda Vempala, Daniel Preoţiuc-Pietro |
https://www.aclweb.org/anthology/P19-1272.pdf |
2019 |
ACL |
# reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-transformer, comb-ensemble, pre-word2vec, task-seqlab, task-lm, task-seq2seq, task-relation |
4 |
Open Vocabulary Learning for Neural Chinese Pinyin IME |
Zhuosheng Zhang, Yafang Huang, Hai Zhao |
https://www.aclweb.org/anthology/P19-1154.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, 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 |
# reg-dropout, reg-worddropout, reg-labelsmooth, arch-att, arch-residual, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq |
0 |
Cross-Sentence Grammatical Error Correction |
Shamil Chollampatt, Weiqi Wang, Hwee Tou Ng |
https://www.aclweb.org/anthology/P19-1042.pdf |
2019 |
ACL |
# train-mtl, train-transfer, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-relation |
4 |
BAM! Born-Again Multi-Task Networks for Natural Language Understanding |
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le |
https://www.aclweb.org/anthology/P19-1595.pdf |
2019 |
ACL |
# train-mll, arch-lstm, arch-att, arch-transformer, comb-ensemble, search-beam, loss-nce, task-seq2seq |
0 |
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study |
Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou |
https://www.aclweb.org/anthology/P19-1609.pdf |
2019 |
ACL |
# optim-adam, 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, 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-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, 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-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, 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, 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, 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 |
# init-glorot, arch-rnn, arch-lstm, arch-gru, comb-ensemble, struct-hmm, loss-svd, task-lm |
0 |
Interpolated Spectral NGram Language Models |
Ariadna Quattoni, Xavier Carreras |
https://www.aclweb.org/anthology/P19-1594.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, 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 |
# train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, comb-ensemble, struct-crf |
1 |
Cost-sensitive Regularization for Label Confusion-aware Event Detection |
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun |
https://www.aclweb.org/anthology/P19-1521.pdf |
2019 |
ACL |
# optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-gating, arch-transformer, comb-ensemble, search-beam, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq |
5 |
Multi-style Generative Reading Comprehension |
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita |
https://www.aclweb.org/anthology/P19-1220.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, pre-glove, task-textclass, task-condlm |
1 |
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model |
Yitao Cai, Huiyu Cai, Xiaojun Wan |
https://www.aclweb.org/anthology/P19-1239.pdf |
2019 |
ACL |
# optim-adam, 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, 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, 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, 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, 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-sgd, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, comb-ensemble, pre-glove, task-seq2seq |
1 |
A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation |
Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin |
https://www.aclweb.org/anthology/P19-1256.pdf |
2019 |
ACL |
# arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec |
2 |
Argument Invention from First Principles |
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim |
https://www.aclweb.org/anthology/P19-1097.pdf |
2019 |
ACL |
# arch-lstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, latent-vae |
1 |
We Need to Talk about Standard Splits |
Kyle Gorman, Steven Bedrick |
https://www.aclweb.org/anthology/P19-1267.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-glove, pre-bert, adv-examp, adv-train, task-textpair |
17 |
Probing Neural Network Comprehension of Natural Language Arguments |
Timothy Niven, Hung-Yu Kao |
https://www.aclweb.org/anthology/P19-1459.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, 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 |
# reg-decay, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree |
8 |
Explain Yourself! Leveraging Language Models for Commonsense Reasoning |
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher |
https://www.aclweb.org/anthology/P19-1487.pdf |
2019 |
ACL |
# optim-adam, 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, 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, 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, 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 |
# train-mll, arch-subword, comb-ensemble, adv-train, task-lm, task-seq2seq, task-alignment |
8 |
An Effective Approach to Unsupervised Machine Translation |
Mikel Artetxe, Gorka Labaka, Eneko Agirre |
https://www.aclweb.org/anthology/P19-1019.pdf |
2019 |
ACL |
# arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-fasttext, pre-bert, task-seq2seq |
2 |
Generating Diverse Translations with Sentence Codes |
Raphael Shu, Hideki Nakayama, Kyunghyun Cho |
https://www.aclweb.org/anthology/P19-1177.pdf |
2019 |
ACL |
# 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-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 |
# init-glorot, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-energy, comb-ensemble, pre-fasttext, pre-bert, struct-crf, task-relation |
0 |
An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing |
Zhisong Zhang, Xuezhe Ma, Eduard Hovy |
https://www.aclweb.org/anthology/P19-1562.pdf |
2019 |
ACL |
# optim-sgd, init-glorot, train-mtl, train-transfer, arch-att, comb-ensemble, adv-train, task-textclass |
0 |
Learning Transferable Feature Representations Using Neural Networks |
Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar, Sriranjani Ramakrishnan |
https://www.aclweb.org/anthology/P19-1404.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, 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-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-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 |
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, 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 |
# init-glorot, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-seq2seq |
0 |
Parallel Iterative Edit Models for Local Sequence Transduction |
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla |
https://www.aclweb.org/anthology/D19-1435.pdf |
2019 |
EMNLP |
# optim-adam, 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 |
# activ-relu, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-relation, task-tree |
1 |
Dependency-Guided LSTM-CRF for Named Entity Recognition |
Zhanming Jie, Wei Lu |
https://www.aclweb.org/anthology/D19-1399.pdf |
2019 |
EMNLP |
# optim-adam, 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 |
# reg-dropout, pool-max, arch-lstm, arch-att, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq |
0 |
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching |
Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin |
https://www.aclweb.org/anthology/D19-1626.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, task-condlm |
5 |
Dual Attention Networks for Visual Reference Resolution in Visual Dialog |
Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang |
https://www.aclweb.org/anthology/D19-1209.pdf |
2019 |
EMNLP |
# 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 |
# init-glorot, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
2 |
Denoising based Sequence-to-Sequence Pre-training for Text Generation |
Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu |
https://www.aclweb.org/anthology/D19-1412.pdf |
2019 |
EMNLP |
# reg-dropout, train-active, arch-lstm, arch-cnn, comb-ensemble, search-viterbi, struct-crf, latent-vae, task-seqlab |
1 |
A Bayesian Approach for Sequence Tagging with Crowds |
Edwin D. Simpson, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1101.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, task-lm, task-tree |
0 |
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog |
Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer |
https://www.aclweb.org/anthology/D19-1163.pdf |
2019 |
EMNLP |
# optim-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 |
# train-mll, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon |
1 |
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings |
Haozhou Wang, James Henderson, Paola Merlo |
https://www.aclweb.org/anthology/D19-1450.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, 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 |
# reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, pre-word2vec, task-seqlab, task-lm, task-relation, task-graph |
0 |
Supervising Unsupervised Open Information Extraction Models |
Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan |
https://www.aclweb.org/anthology/D19-1067.pdf |
2019 |
EMNLP |
# optim-adam, 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-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, 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 |
# arch-rnn, arch-memo, comb-ensemble |
1 |
Fact-Checking Meets Fauxtography: Verifying Claims About Images |
Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev |
https://www.aclweb.org/anthology/D19-1216.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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-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 |
# train-transfer, arch-rnn, arch-att, comb-ensemble, pre-bert, task-extractive, task-lm, task-cloze |
0 |
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions |
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang |
https://www.aclweb.org/anthology/D19-1291.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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 |
# arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-bert, task-textpair, task-seqlab, task-lm |
0 |
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis |
Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu |
https://www.aclweb.org/anthology/D19-3017.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, struct-crf, task-textclass, task-extractive, task-lm, task-seq2seq |
0 |
Pretrained Language Models for Sequential Sentence Classification |
Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld |
https://www.aclweb.org/anthology/D19-1383.pdf |
2019 |
EMNLP |
# optim-adam, 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 |
# train-mll, arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-bert, latent-topic, task-textclass, task-textpair |
0 |
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach |
Wenpeng Yin, Jamaal Hay, Dan Roth |
https://www.aclweb.org/anthology/D19-1404.pdf |
2019 |
EMNLP |
# arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, task-seq2seq |
0 |
Multi-agent Learning for Neural Machine Translation |
Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang |
https://www.aclweb.org/anthology/D19-1079.pdf |
2019 |
EMNLP |
# train-parallel, comb-ensemble, pre-word2vec, pre-glove, pre-bert, task-condlm |
0 |
Grounding learning of modifier dynamics: An application to color naming |
Xudong Han, Philip Schulz, Trevor Cohn |
https://www.aclweb.org/anthology/D19-1158.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, 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-projection, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, comb-ensemble, struct-crf, task-textclass, task-seqlab, task-seq2seq |
0 |
Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation |
Huiyun Yang, Shujian Huang, Xin-Yu Dai, Jiajun Chen |
https://www.aclweb.org/anthology/D19-1429.pdf |
2019 |
EMNLP |
# optim-adam, 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-amsgrad, reg-dropout, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, comb-ensemble, search-beam, task-relation |
0 |
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection |
Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou |
https://www.aclweb.org/anthology/D19-1381.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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-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 |
# arch-lstm, comb-ensemble, task-lm |
0 |
Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition |
Zhenjie Zhao, Andrew Cattle, Evangelos Papalexakis, Xiaojuan Ma |
https://www.aclweb.org/anthology/D19-1669.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm |
0 |
PubMedQA: A Dataset for Biomedical Research Question Answering |
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, Xinghua Lu |
https://www.aclweb.org/anthology/D19-1259.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-lm, task-seq2seq |
0 |
uniblock: Scoring and Filtering Corpus with Unicode Block Information |
Yingbo Gao, Weiyue Wang, Hermann Ney |
https://www.aclweb.org/anthology/D19-1133.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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 |
# train-augment, arch-subword, arch-transformer, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq |
2 |
Simple and Effective Noisy Channel Modeling for Neural Machine Translation |
Kyra Yee, Yann Dauphin, Michael Auli |
https://www.aclweb.org/anthology/D19-1571.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-projection, train-mtl, arch-cnn, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze |
9 |
Patient Knowledge Distillation for BERT Model Compression |
Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu |
https://www.aclweb.org/anthology/D19-1441.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-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, 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, 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, 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-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-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, 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-projection, arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-bert, task-extractive, task-seq2seq |
0 |
Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization |
Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy |
https://www.aclweb.org/anthology/D19-1327.pdf |
2019 |
EMNLP |
# arch-lstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-seq2seq |
0 |
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification |
Vivian Lai, Zheng Cai, Chenhao Tan |
https://www.aclweb.org/anthology/D19-1046.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, 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, 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, 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-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, 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 |
# reg-dropout, pool-max, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-word2vec, adv-train, task-textclass, task-textpair |
0 |
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction |
Yuyun Huang, Jinhua Du |
https://www.aclweb.org/anthology/D19-1037.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-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, 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-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, 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-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 |
# reg-dropout, reg-stopping, reg-patience, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-textpair, task-spanlab |
0 |
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims |
Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen |
https://www.aclweb.org/anthology/D19-1475.pdf |
2019 |
EMNLP |
# optim-sgd, optim-projection, init-glorot, arch-cnn, arch-att, arch-bilinear, comb-ensemble, loss-margin, task-textpair |
0 |
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion |
Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang |
https://www.aclweb.org/anthology/D19-1268.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, 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 |
# arch-att, comb-ensemble, pre-bert, task-textpair, task-spanlab |
3 |
Applying BERT to Document Retrieval with Birch |
Zeynep Akkalyoncu Yilmaz, Shengjin Wang, Wei Yang, Haotian Zhang, Jimmy Lin |
https://www.aclweb.org/anthology/D19-3004.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, 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, 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-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, 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-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, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-recnn, arch-cnn, arch-att, arch-memo, arch-copy, comb-ensemble, pre-word2vec, task-tree |
0 |
Tree-structured Decoding for Solving Math Word Problems |
Qianying Liu, Wenyv Guan, Sujian Li, Daisuke Kawahara |
https://www.aclweb.org/anthology/D19-1241.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, comb-ensemble, search-beam, pre-bert, task-lm, task-seq2seq |
0 |
Exploiting Monolingual Data at Scale for Neural Machine Translation |
Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1430.pdf |
2019 |
EMNLP |
# optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, pre-use, adv-train, loss-cca, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze |
0 |
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection |
Nina Poerner, Hinrich Schütze |
https://www.aclweb.org/anthology/D19-1173.pdf |
2019 |
NAA-CL |
# arch-bilinear, arch-coverage, comb-ensemble, pre-word2vec, pre-glove, task-seqlab, task-seq2seq |
0 |
What just happened? Evaluating retrofitted distributional word vectors |
Dmetri Hayes |
https://www.aclweb.org/anthology/N19-1111.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment |
12 |
Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog |
Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis |
https://www.aclweb.org/anthology/N19-1380.pdf |
2019 |
NAA-CL |
# pool-mean, arch-lstm, arch-cnn, arch-att, arch-selfatt, comb-ensemble, pre-fasttext, pre-glove, struct-crf, loss-cca, loss-margin, task-textclass |
1 |
Ranking-Based Autoencoder for Extreme Multi-label Classification |
Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou |
https://www.aclweb.org/anthology/N19-1289.pdf |
2019 |
NAA-CL |
# optim-adam, 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, 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, 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, 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, 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 |
# arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-word2vec, task-lm, task-relation |
3 |
Incorporating Emoji Descriptions Improves Tweet Classification |
Abhishek Singh, Eduardo Blanco, Wei Jin |
https://www.aclweb.org/anthology/N19-1214.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, comb-ensemble, adv-train, task-seqlab, task-seq2seq |
1 |
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging |
Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat |
https://www.aclweb.org/anthology/N19-1416.pdf |
2019 |
NAA-CL |
# init-glorot, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-glove, adv-train, loss-triplet, task-lm |
1 |
Adversarial Category Alignment Network for Cross-domain Sentiment Classification |
Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou |
https://www.aclweb.org/anthology/N19-1258.pdf |
2019 |
NAA-CL |
# optim-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, 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 |
# train-mtl, train-mll, arch-cnn, comb-ensemble |
0 |
Strong Baselines for Complex Word Identification across Multiple Languages |
Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego, Andreas Vlachos |
https://www.aclweb.org/anthology/N19-1102.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 |
# init-glorot, train-mll, train-parallel, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-elmo, task-relation |
2 |
Recursive Subtree Composition in LSTM-Based Dependency Parsing |
Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre |
https://www.aclweb.org/anthology/N19-1159.pdf |
2019 |
NAA-CL |
# optim-adam, 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 |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq |
0 |
Automatic learner summary assessment for reading comprehension |
Menglin Xia, Ekaterina Kochmar, Ted Briscoe |
https://www.aclweb.org/anthology/N19-1261.pdf |
2019 |
NAA-CL |
# 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, 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 |
# arch-att, comb-ensemble |
1 |
Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System |
Shazia Afzal, Tejas Dhamecha, Nirmal Mukhi, Renuka Sindhgatta, Smit Marvaniya, Matthew Ventura, Jessica Yarbro |
https://www.aclweb.org/anthology/N19-2015.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-transformer, comb-ensemble, pre-word2vec, latent-vae, task-lm |
0 |
Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models |
Yiben Yang, Ji-Ping Wang, Doug Downey |
https://www.aclweb.org/anthology/N19-1330.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation |
7 |
Better, Faster, Stronger Sequence Tagging Constituent Parsers |
David Vilares, Mostafa Abdou, Anders Søgaard |
https://www.aclweb.org/anthology/N19-1341.pdf |
2019 |
NAA-CL |
# init-glorot, arch-rnn, arch-lstm, comb-ensemble, latent-vae, task-textclass, task-lm |
12 |
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing |
Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin |
https://www.aclweb.org/anthology/N19-1021.pdf |
2019 |
NAA-CL |
# 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 |
# arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, search-beam, task-seq2seq, task-relation |
4 |
Left-to-Right Dependency Parsing with Pointer Networks |
Daniel Fernández-González, Carlos Gómez-Rodríguez |
https://www.aclweb.org/anthology/N19-1076.pdf |
2019 |
NAA-CL |
# optim-adam, 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, 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 |
# reg-dropout, reg-decay, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-tree |
20 |
Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data |
Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu |
https://www.aclweb.org/anthology/N19-1014.pdf |
2019 |
NAA-CL |
# train-mll, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-word2vec, pre-glove, pre-paravec, pre-skipthought, pre-elmo, task-seq2seq |
0 |
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification |
Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova |
https://www.aclweb.org/anthology/N19-1059.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-glove, struct-crf, latent-vae, task-textclass, task-lm, task-seq2seq |
2 |
Strong and Simple Baselines for Multimodal Utterance Embeddings |
Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency |
https://www.aclweb.org/anthology/N19-1267.pdf |
2019 |
NAA-CL |
# optim-projection, comb-ensemble, loss-svd, task-textclass |
1 |
A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems |
Elham J. Barezi, Ian D. Wood, Pascale Fung, Hamid R. Rabiee |
https://www.aclweb.org/anthology/N19-1106.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, pre-word2vec, struct-hmm, struct-crf, task-seqlab, task-lm |
0 |
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings |
Yuxiao Ye, Weikang Li, Yue Zhang, Likun Qiu, Jian Sun |
https://www.aclweb.org/anthology/N19-1279.pdf |
2019 |
NAA-CL |
# optim-adam, reg-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 |
# reg-dropout, norm-gradient, train-mtl, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, comb-ensemble, task-seq2seq, task-relation |
0 |
Multi-Task Learning for Japanese Predicate Argument Structure Analysis |
Hikaru Omori, Mamoru Komachi |
https://www.aclweb.org/anthology/N19-1344.pdf |
2019 |
NAA-CL |
# optim-adam, 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-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-fasttext, task-textpair, task-lm |
5 |
CNM: An Interpretable Complex-valued Network for Matching |
Qiuchi Li, Benyou Wang, Massimo Melucci |
https://www.aclweb.org/anthology/N19-1420.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, reg-decay, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze |
3209 |
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding |
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
https://www.aclweb.org/anthology/N19-1423.pdf |
2019 |
NAA-CL |
# init-glorot, train-mtl, arch-rnn, arch-lstm, arch-att, comb-ensemble, task-lm, task-seq2seq |
2 |
A Large-Scale Comparison of Historical Text Normalization Systems |
Marcel Bollmann |
https://www.aclweb.org/anthology/N19-1389.pdf |