Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
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, 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 |
# train-augment, arch-rnn, arch-lstm, arch-bilstm, pre-bert, struct-hmm, adv-examp, adv-train, task-spanlab, task-lm, task-seq2seq |
6 |
Combating Adversarial Misspellings with Robust Word Recognition |
Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton |
https://www.aclweb.org/anthology/P19-1561.pdf |
2019 |
ACL |
# 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 |
# norm-layer, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, task-textclass, task-spanlab, task-lm, task-seq2seq |
5 |
Large-Scale Transfer Learning for Natural Language Generation |
Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf |
https://www.aclweb.org/anthology/P19-1608.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-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, 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-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, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq |
3 |
Learning to Ask Unanswerable Questions for Machine Reading Comprehension |
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
https://www.aclweb.org/anthology/P19-1415.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, pre-glove, task-spanlab, task-seq2seq |
0 |
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text |
Jianxing Yu, Zhengjun Zha, Jian Yin |
https://www.aclweb.org/anthology/P19-1217.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-bilinear, pre-glove, task-spanlab |
0 |
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension |
Daesik Kim, Seonhoon Kim, Nojun Kwak |
https://www.aclweb.org/anthology/P19-1347.pdf |
2019 |
ACL |
# optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, loss-margin, task-spanlab, task-lm |
2 |
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension |
An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li |
https://www.aclweb.org/anthology/P19-1226.pdf |
2019 |
ACL |
# arch-cnn, arch-att, arch-copy, pre-bert, task-textpair, task-spanlab, task-lm |
4 |
Careful Selection of Knowledge to Solve Open Book Question Answering |
Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral |
https://www.aclweb.org/anthology/P19-1615.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, 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, 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, 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, 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, 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, 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 |
# 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, 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, 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, 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, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-bilinear, task-textclass, task-spanlab, task-seq2seq |
0 |
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test |
Chujie Zheng, Minlie Huang, Aixin Sun |
https://www.aclweb.org/anthology/P19-1075.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, activ-relu, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-spanlab |
0 |
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts |
Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa |
https://www.aclweb.org/anthology/P19-1414.pdf |
2019 |
ACL |
# 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 |
# 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, 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 |
# task-spanlab |
0 |
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets |
Nicole Peinelt, Maria Liakata, Dong Nguyen |
https://www.aclweb.org/anthology/P19-1268.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-sgd, optim-projection, reg-dropout, reg-stopping, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, pre-bert, task-textclass, task-spanlab, task-lm, task-tree |
5 |
Training Neural Response Selection for Task-Oriented Dialogue Systems |
Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su |
https://www.aclweb.org/anthology/P19-1536.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-glove, pre-bert, task-spanlab, task-seq2seq |
4 |
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading |
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao |
https://www.aclweb.org/anthology/P19-1539.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree |
2 |
Unsupervised Question Answering by Cloze Translation |
Patrick Lewis, Ludovic Denoyer, Sebastian Riedel |
https://www.aclweb.org/anthology/P19-1484.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-coverage, arch-subword, search-beam, pre-elmo, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
Generating Question-Answer Hierarchies |
Kalpesh Krishna, Mohit Iyyer |
https://www.aclweb.org/anthology/P19-1224.pdf |
2019 |
ACL |
# 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-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, 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, 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 |
# arch-coverage, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm |
1 |
Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark |
Nikita Nangia, Samuel R. Bowman |
https://www.aclweb.org/anthology/P19-1449.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree |
0 |
Reinforced Dynamic Reasoning for Conversational Question Generation |
Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun |
https://www.aclweb.org/anthology/P19-1203.pdf |
2019 |
ACL |
# train-mtl, arch-lstm, arch-att, arch-coverage, pre-glove, task-textpair, task-spanlab |
0 |
Delta Embedding Learning |
Xiao Zhang, Ji Wu, Dejing Dou |
https://www.aclweb.org/anthology/P19-1322.pdf |
2019 |
ACL |
# optim-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, 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 |
# init-glorot, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation |
5 |
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks |
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar |
https://www.aclweb.org/anthology/P19-1320.pdf |
2019 |
ACL |
# optim-adam, 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-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, 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 |
# reg-stopping, train-transfer, arch-rnn, arch-att, pre-glove, pre-bert, task-spanlab, task-lm, task-tree |
12 |
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension |
Alon Talmor, Jonathan Berant |
https://www.aclweb.org/anthology/P19-1485.pdf |
2019 |
ACL |
# optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, task-spanlab, task-seq2seq |
1 |
Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension |
Yimeng Zhuang, Huadong Wang |
https://www.aclweb.org/anthology/P19-1218.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, search-beam, pre-glove, pre-elmo, task-spanlab |
2 |
Exploiting Explicit Paths for Multi-hop Reading Comprehension |
Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark |
https://www.aclweb.org/anthology/P19-1263.pdf |
2019 |
ACL |
# train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze |
2 |
Exploring Pre-trained Language Models for Event Extraction and Generation |
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li |
https://www.aclweb.org/anthology/P19-1522.pdf |
2019 |
ACL |
# optim-sgd, reg-dropout, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-bert, struct-crf, task-spanlab, task-lm |
0 |
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis |
Junyi Du, He Jiang, Jiaming Shen, Xiang Ren |
https://www.aclweb.org/anthology/P19-1420.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, pool-max, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-bert, struct-crf, task-seqlab, task-spanlab |
6 |
Dynamically Fused Graph Network for Multi-hop Reasoning |
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
https://www.aclweb.org/anthology/P19-1617.pdf |
2019 |
ACL |
# optim-adam, 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, 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 |
# train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-glove, pre-bert, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation |
0 |
Self-Attention Architectures for Answer-Agnostic Neural Question Generation |
Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano |
https://www.aclweb.org/anthology/P19-1604.pdf |
2019 |
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 |
# arch-gating, task-textpair, task-spanlab |
0 |
Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing |
Michael Stewart, Wei Liu, Rachel Cardell-Oliver |
https://www.aclweb.org/anthology/D19-3033.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, 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, 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 |
# 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, 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 |
# init-glorot, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq |
2 |
Denoising based Sequence-to-Sequence Pre-training for Text Generation |
Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu |
https://www.aclweb.org/anthology/D19-1412.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-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, 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, 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, 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-stopping, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, meta-arch |
1 |
Show Your Work: Improved Reporting of Experimental Results |
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1224.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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-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-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 |
# reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textpair, task-spanlab, task-seq2seq, task-tree, task-graph |
0 |
Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing |
Jonathan Herzig, Jonathan Berant |
https://www.aclweb.org/anthology/D19-1394.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-seq2seq |
1 |
Incorporating External Knowledge into Machine Reading for Generative Question Answering |
Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
https://www.aclweb.org/anthology/D19-1255.pdf |
2019 |
EMNLP |
# arch-lstm, arch-att, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree |
1 |
“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding |
Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth |
https://www.aclweb.org/anthology/D19-1332.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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, 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 |
# arch-att, arch-coverage, pre-bert, task-spanlab, task-tree |
1 |
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions |
Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark |
https://www.aclweb.org/anthology/D19-1608.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, pre-glove, pre-bert, task-textpair, task-spanlab, task-seq2seq |
1 |
Better Rewards Yield Better Summaries: Learning to Summarise Without References |
Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1307.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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, reg-dropout, reg-patience, arch-rnn, arch-att, arch-selfatt, pre-bert, task-spanlab, task-lm |
2 |
Answering Complex Open-domain Questions Through Iterative Query Generation |
Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning |
https://www.aclweb.org/anthology/D19-1261.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information |
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee |
https://www.aclweb.org/anthology/D19-1232.pdf |
2019 |
EMNLP |
# arch-att, arch-coverage, pre-bert, task-spanlab, task-lm |
0 |
A Summarization System for Scientific Documents |
Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Francesca Bonin, David Konopnicki |
https://www.aclweb.org/anthology/D19-3036.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 |
# arch-lstm, arch-bilstm, arch-att, arch-memo, task-textpair, task-spanlab, task-lm |
0 |
Memory Grounded Conversational Reasoning |
Seungwhan Moon, Pararth Shah, Rajen Subba, Anuj Kumar |
https://www.aclweb.org/anthology/D19-3025.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq |
2 |
Knowledge Enhanced Contextual Word Representations |
Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith |
https://www.aclweb.org/anthology/D19-1005.pdf |
2019 |
EMNLP |
# 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-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-sgd, optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq |
0 |
Improving Question Generation With to the Point Context |
Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu |
https://www.aclweb.org/anthology/D19-1317.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm |
0 |
PubMedQA: A Dataset for Biomedical Research Question Answering |
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, Xinghua Lu |
https://www.aclweb.org/anthology/D19-1259.pdf |
2019 |
EMNLP |
# 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, 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, 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, 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, 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, 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-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-adagrad, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, nondif-reinforce, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
1 |
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models |
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano |
https://www.aclweb.org/anthology/D19-1320.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm |
0 |
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering |
Vikas Yadav, Steven Bethard, Mihai Surdeanu |
https://www.aclweb.org/anthology/D19-1260.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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-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-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-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-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-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-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq |
0 |
ParaQG: A System for Generating Questions and Answers from Paragraphs |
Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li |
https://www.aclweb.org/anthology/D19-3030.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze |
4 |
Revealing the Dark Secrets of BERT |
Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky |
https://www.aclweb.org/anthology/D19-1445.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-bert, adv-examp, task-textpair, task-spanlab, task-lm, task-seq2seq, task-tree |
2 |
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text |
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton |
https://www.aclweb.org/anthology/D19-1458.pdf |
2019 |
EMNLP |
# optim-adam, 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, 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 |
# arch-att, task-textpair, task-spanlab, task-seq2seq |
0 |
On the Importance of Delexicalization for Fact Verification |
Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu |
https://www.aclweb.org/anthology/D19-1340.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 |
# arch-lstm, arch-att, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq |
1 |
Can You Unpack That? Learning to Rewrite Questions-in-Context |
Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber |
https://www.aclweb.org/anthology/D19-1605.pdf |
2019 |
EMNLP |
# optim-adam, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-spanlab, task-seq2seq, task-alignment |
1 |
Hint-Based Training for Non-Autoregressive Machine Translation |
Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu |
https://www.aclweb.org/anthology/D19-1573.pdf |
2019 |
EMNLP |
# optim-adam, arch-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, 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 |
# 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 |
# arch-coverage, pre-bert, loss-nce, task-textpair, task-spanlab |
5 |
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets |
Mor Geva, Yoav Goldberg, Jonathan Berant |
https://www.aclweb.org/anthology/D19-1107.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-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, arch-lstm, arch-att, arch-selfatt, task-spanlab, task-seq2seq |
0 |
Question-type Driven Question Generation |
Wenjie Zhou, Minghua Zhang, Yunfang Wu |
https://www.aclweb.org/anthology/D19-1622.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, reg-stopping, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-tree |
1 |
What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering |
Tushar Khot, Ashish Sabharwal, Peter Clark |
https://www.aclweb.org/anthology/D19-1281.pdf |
2019 |
EMNLP |
# optim-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, 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, 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 |
# arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-spanlab, task-seq2seq, task-tree |
0 |
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs |
Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang |
https://www.aclweb.org/anthology/D19-1187.pdf |
2019 |
EMNLP |
# arch-lstm, arch-bilstm, arch-cnn, pre-fasttext, pre-glove, pre-bert, adv-examp, adv-train, task-textclass, task-spanlab, task-seq2seq |
3 |
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack |
Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston |
https://www.aclweb.org/anthology/D19-1461.pdf |
2019 |
EMNLP |
# optim-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 |
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, 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-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 |
# arch-rnn, arch-lstm, arch-bilstm, arch-memo, task-spanlab, task-lm, task-tree |
0 |
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase |
Kelvin Jiang, Dekun Wu, Hui Jiang |
https://www.aclweb.org/anthology/N19-1028.pdf |
2019 |
NAA-CL |
# optim-adam, 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-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, 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, 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-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 |