| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # arch-att, arch-copy, search-viterbi, pre-glove, task-extractive, task-seq2seq, task-relation | 2 | TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks | Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki | https://www.aclweb.org/anthology/P19-1204.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, latent-vae, loss-nce, task-seq2seq, task-tree, task-graph | 0 | Discourse Representation Parsing for Sentences and Documents | Jiangming Liu, Shay B. Cohen, Mirella Lapata | https://www.aclweb.org/anthology/P19-1629.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-copy, arch-coverage, task-condlm, task-seq2seq | 2 | Handling Divergent Reference Texts when Evaluating Table-to-Text Generation | Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, William Cohen | https://www.aclweb.org/anthology/P19-1483.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, arch-coverage, comb-ensemble, search-beam, task-lm, task-seq2seq | 3 | Data-to-text Generation with Entity Modeling | Ratish Puduppully, Li Dong, Mirella Lapata | https://www.aclweb.org/anthology/P19-1195.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, activ-tanh, arch-rnn, arch-lstm, arch-treelstm, arch-att, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq | 0 | Incorporating Linguistic Constraints into Keyphrase Generation | Jing Zhao, Yuxiang Zhang | https://www.aclweb.org/anthology/P19-1515.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq | 3 | Imitation Learning for Non-Autoregressive Neural Machine Translation | Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun | https://www.aclweb.org/anthology/P19-1125.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-copy, arch-coverage, task-seq2seq | 1 | HighRES: Highlight-based Reference-less Evaluation of Summarization | Hardy Hardy, Shashi Narayan, Andreas Vlachos | https://www.aclweb.org/anthology/P19-1330.pdf |
| 2019 | ACL | # optim-projection, arch-rnn, arch-gru, arch-att, arch-copy, arch-coverage, pre-glove, task-extractive, task-seq2seq | 1 | Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization | Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke | https://www.aclweb.org/anthology/P19-1210.pdf |
| 2019 | ACL | # optim-adadelta, arch-rnn, arch-gru, arch-att, arch-memo, arch-copy, search-beam, latent-vae, task-lm, task-seq2seq | 0 | Neural Response Generation with Meta-words | Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang | https://www.aclweb.org/anthology/P19-1538.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-condlm, task-seq2seq | 2 | Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning | Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1652.pdf |
| 2019 | ACL | # optim-adam, optim-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, train-augment, arch-lstm, arch-att, arch-copy, pre-bert, struct-cfg, task-seq2seq, task-tree | 4 | Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation | Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang | https://www.aclweb.org/anthology/P19-1444.pdf |
| 2019 | ACL | # 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, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 1 | Complex Question Decomposition for Semantic Parsing | Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang | https://www.aclweb.org/anthology/P19-1440.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Improving Abstractive Document Summarization with Salient Information Modeling | Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang | https://www.aclweb.org/anthology/P19-1205.pdf |
| 2019 | ACL | # optim-adagrad, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | On the Summarization of Consumer Health Questions | Asma Ben Abacha, Dina Demner-Fushman | https://www.aclweb.org/anthology/P19-1215.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, init-glorot, pool-max, arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq | 0 | Learning to Select, Track, and Generate for Data-to-Text | Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura | https://www.aclweb.org/anthology/P19-1202.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, search-greedy, task-seq2seq, task-tree | 16 | Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems | Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung | https://www.aclweb.org/anthology/P19-1078.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, norm-layer, train-augment, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, search-greedy, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, task-tree, task-graph | 2 | Generating Logical Forms from Graph Representations of Text and Entities | Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun | https://www.aclweb.org/anthology/P19-1010.pdf |
| 2019 | ACL | # optim-adam, 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, arch-gru, arch-att, arch-memo, arch-copy, search-greedy, loss-nce, task-seq2seq | 0 | A Working Memory Model for Task-oriented Dialog Response Generation | Xiuyi Chen, Jiaming Xu, Bo Xu | https://www.aclweb.org/anthology/P19-1258.pdf |
| 2019 | ACL | # optim-adam, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, task-lm, task-seq2seq, task-tree | 1 | Semantic Parsing with Dual Learning | Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu | https://www.aclweb.org/anthology/P19-1007.pdf |
| 2019 | ACL | # train-mtl, arch-rnn, arch-lstm, arch-att, arch-copy, task-lm, task-seq2seq | 0 | Automated Chess Commentator Powered by Neural Chess Engine | Hongyu Zang, Zhiwei Yu, Xiaojun Wan | https://www.aclweb.org/anthology/P19-1597.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, task-seqlab, task-seq2seq, task-relation | 0 | Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation | Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao | https://www.aclweb.org/anthology/P19-1196.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-elmo, pre-bert, struct-hmm, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization | Xingxing Zhang, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1499.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-copy, search-beam, latent-vae, latent-topic, task-textclass, task-seq2seq | 3 | Topic-Aware Neural Keyphrase Generation for Social Media Language | Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi | https://www.aclweb.org/anthology/P19-1240.pdf |
| 2019 | ACL | # optim-adam, init-glorot, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, nondif-reinforce, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Towards Comprehensive Description Generation from Factual Attribute-value Tables | Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui | https://www.aclweb.org/anthology/P19-1600.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree | 1 | Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder | Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko | https://www.aclweb.org/anthology/P19-1407.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-patience, train-mtl, arch-lstm, arch-att, arch-copy, search-beam, nondif-reinforce, task-lm, task-seq2seq, task-tree, task-graph | 1 | Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization | Hai Ye, Wenjie Li, Lu Wang | https://www.aclweb.org/anthology/P19-1201.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph | 2 | Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model | Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun | https://www.aclweb.org/anthology/P19-1479.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-layer, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-tree | 4 | Decomposable Neural Paraphrase Generation | Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu | https://www.aclweb.org/anthology/P19-1332.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-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, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, comb-ensemble, pre-glove, task-seq2seq | 1 | A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation | Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin | https://www.aclweb.org/anthology/P19-1256.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-copy, pre-glove, nondif-minrisk, latent-vae, task-seq2seq, task-relation | 7 | Towards Explainable NLP: A Generative Explanation Framework for Text Classification | Hui Liu, Qingyu Yin, William Yang Wang | https://www.aclweb.org/anthology/P19-1560.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, task-seq2seq | 2 | Global Optimization under Length Constraint for Neural Text Summarization | Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura | https://www.aclweb.org/anthology/P19-1099.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-copy, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-topic, task-condlm, task-seq2seq | 2 | Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards | Hou Pong Chan, Wang Chen, Lu Wang, Irwin King | https://www.aclweb.org/anthology/P19-1208.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 0 | Reinforced Dynamic Reasoning for Conversational Question Generation | Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun | https://www.aclweb.org/anthology/P19-1203.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, pool-kmax, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-bilinear, task-seq2seq | 1 | BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization | Kai Wang, Xiaojun Quan, Rui Wang | https://www.aclweb.org/anthology/P19-1207.pdf |
| 2019 | ACL | # init-glorot, arch-copy, arch-coverage, loss-nce, task-seq2seq, task-relation, task-tree | 3 | Transforming Complex Sentences into a Semantic Hierarchy | Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh | https://www.aclweb.org/anthology/P19-1333.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-word2vec, task-seqlab, task-seq2seq | 0 | Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation | Cao Liu, Shizhu He, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/P19-1367.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, task-seq2seq | 5 | Scoring Sentence Singletons and Pairs for Abstractive Summarization | Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu | https://www.aclweb.org/anthology/P19-1209.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, pre-word2vec, task-extractive, task-seq2seq | 0 | This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation | Rui Zhang, Joel Tetreault | https://www.aclweb.org/anthology/P19-1043.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 7 | AMR Parsing as Sequence-to-Graph Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/P19-1009.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-copy, arch-coverage, task-seqlab, task-lm | 6 | Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling | Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/P19-1598.pdf |
| 2019 | ACL | # arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-copy, arch-bilinear, arch-coverage, search-beam, task-lm, task-condlm, task-seq2seq | 2 | PaperRobot: Incremental Draft Generation of Scientific Ideas | Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan | https://www.aclweb.org/anthology/P19-1191.pdf |
| 2019 | ACL | # arch-att, arch-copy, arch-coverage, search-beam, nondif-minrisk, task-textpair, task-seq2seq, task-tree | 1 | Reranking for Neural Semantic Parsing | Pengcheng Yin, Graham Neubig | https://www.aclweb.org/anthology/P19-1447.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-copy, pre-glove, task-lm, task-seq2seq | 4 | EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing | Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1331.pdf |
| 2019 | ACL | # train-transfer, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq | 5 | Strategies for Structuring Story Generation | Angela Fan, Mike Lewis, Yann Dauphin | https://www.aclweb.org/anthology/P19-1254.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, struct-crf, task-lm, task-seq2seq | 1 | Confusionset-guided Pointer Networks for Chinese Spelling Check | Dingmin Wang, Yi Tay, Li Zhong | https://www.aclweb.org/anthology/P19-1578.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-memo, arch-copy, pre-glove, task-relation | 4 | GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction | Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma | https://www.aclweb.org/anthology/P19-1136.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, task-spanlab, task-lm, task-seq2seq | 1 | Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling | Yifan Gao, Piji Li, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/P19-1480.pdf |
| 2019 | ACL | # train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-glove, pre-bert, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Self-Attention Architectures for Answer-Agnostic Neural Question Generation | Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano | https://www.aclweb.org/anthology/P19-1604.pdf |
| 2019 | ACL | # arch-gru, arch-att, arch-copy, task-seq2seq | 2 | Unsupervised Neural Text Simplification | Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/P19-1198.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq | 1 | NCLS: Neural Cross-Lingual Summarization | Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong | https://www.aclweb.org/anthology/D19-1302.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, arch-att, arch-copy, search-greedy, task-textpair, task-seq2seq | 0 | Enhancing Neural Data-To-Text Generation Models with External Background Knowledge | Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin | https://www.aclweb.org/anthology/D19-1299.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-subword, task-lm, task-seq2seq | 0 | Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja | Kang Min Yoo, Taeuk Kim, Sang-goo Lee | https://www.aclweb.org/anthology/D19-1358.pdf |
| 2019 | EMNLP | # 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 | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-copy, arch-coverage, pre-word2vec, latent-vae, task-lm, task-seq2seq | 0 | Unsupervised Context Rewriting for Open Domain Conversation | Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu, Jingsong Yu | https://www.aclweb.org/anthology/D19-1192.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-patience, arch-rnn, arch-gru, arch-att, arch-copy, search-beam, task-seq2seq | 0 | Modeling Multi-Action Policy for Task-Oriented Dialogues | Lei Shu, Hu Xu, Bing Liu, Piero Molino | https://www.aclweb.org/anthology/D19-1130.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-copy, task-seq2seq | 0 | Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever | Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu | https://www.aclweb.org/anthology/D19-1013.pdf |
| 2019 | EMNLP | # 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-projection, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq | 0 | Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao | https://www.aclweb.org/anthology/D19-1247.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-glove, task-seq2seq | 0 | Referring Expression Generation Using Entity Profiles | Meng Cao, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/D19-1312.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, arch-bigru, arch-att, arch-copy, arch-subword, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Generating Personalized Recipes from Historical User Preferences | Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley | https://www.aclweb.org/anthology/D19-1613.pdf |
| 2019 | EMNLP | # 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 | # optim-adam, train-mll, train-active, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq, task-alignment | 0 | Learning to Copy for Automatic Post-Editing | Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun | https://www.aclweb.org/anthology/D19-1634.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # 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, optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-copy, comb-ensemble, pre-glove, latent-vae, task-relation, task-tree, task-graph, task-lexicon | 0 | Semantic graph parsing with recurrent neural network DAG grammars | Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata | https://www.aclweb.org/anthology/D19-1278.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-seq2seq, task-tree, task-graph | 0 | Modeling Graph Structure in Transformer for Better AMR-to-Text Generation | Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou | https://www.aclweb.org/anthology/D19-1548.pdf |
| 2019 | EMNLP | # optim-adam, 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, optim-projection, reg-dropout, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, latent-vae, task-tree | 0 | Answering Conversational Questions on Structured Data without Logical Forms | Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun | https://www.aclweb.org/anthology/D19-1603.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks | Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon | https://www.aclweb.org/anthology/D19-1183.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 0 | Contrastive Attention Mechanism for Abstractive Sentence Summarization | Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang | https://www.aclweb.org/anthology/D19-1301.pdf |
| 2019 | EMNLP | # reg-stopping, reg-patience, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, pre-word2vec, task-textclass, task-seq2seq, task-tree | 0 | CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases | Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev | https://www.aclweb.org/anthology/D19-1204.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, pre-glove, pre-bert, nondif-reinforce, task-textclass, task-seq2seq, task-relation, task-tree | 0 | A Split-and-Recombine Approach for Follow-up Query Analysis | Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang | https://www.aclweb.org/anthology/D19-1535.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-copy, task-seq2seq | 0 | Task-Oriented Conversation Generation Using Heterogeneous Memory Networks | Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang | https://www.aclweb.org/anthology/D19-1463.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq | 0 | Improving Question Generation With to the Point Context | Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/D19-1317.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment | 0 | Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling | Angel Daza, Anette Frank | https://www.aclweb.org/anthology/D19-1056.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-gru, arch-att, arch-copy, pre-glove, task-seq2seq | 0 | GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue | Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu | https://www.aclweb.org/anthology/D19-1462.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | Attribute-aware Sequence Network for Review Summarization | Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong | https://www.aclweb.org/anthology/D19-1297.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq | 0 | Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning | Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1035.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-copy, search-beam, task-spanlab, task-seq2seq | 0 | Generating Highly Relevant Questions | Jiazuo Qiu, Deyi Xiong | https://www.aclweb.org/anthology/D19-1614.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, task-seqlab, task-seq2seq | 0 | Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration | Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, Xiaojiang Liu | https://www.aclweb.org/anthology/D19-1191.pdf |
| 2019 | EMNLP | # optim-adam, reg-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 | # reg-dropout, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-copy, task-seq2seq | 0 | Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time) | Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/D19-1310.pdf |
| 2019 | EMNLP | # optim-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-adadelta, arch-rnn, arch-lstm, arch-att, arch-copy, task-textclass, task-seq2seq | 0 | SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence | Jun-U Park, Sang-Ki Ko, Marco Cognetta, Yo-Sub Han | https://www.aclweb.org/anthology/D19-1677.pdf |
| 2019 | EMNLP | # optim-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, pool-max, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, nondif-reinforce, task-extractive, task-lm, task-seq2seq | 0 | Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning | Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung | https://www.aclweb.org/anthology/D19-1303.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 0 | Core Semantic First: A Top-down Approach for AMR Parsing | Deng Cai, Wai Lam | https://www.aclweb.org/anthology/D19-1393.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation | Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1546.pdf |
| 2019 | EMNLP | # optim-adam, optim-amsgrad, reg-dropout, train-parallel, arch-lstm, arch-bilstm, arch-att, arch-residual, arch-memo, arch-copy, arch-subword, comb-ensemble, pre-bert, task-lm, task-seq2seq | 1 | Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation | Liliang Ren, Jianmo Ni, Julian McAuley | https://www.aclweb.org/anthology/D19-1196.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph | 0 | Enhancing AMR-to-Text Generation with Dual Graph Representations | Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1314.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, 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 | # arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 0 | Encode, Tag, Realize: High-Precision Text Editing | Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn | https://www.aclweb.org/anthology/D19-1510.pdf |
| 2019 | EMNLP | # optim-projection, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-copy, pre-bert, task-seq2seq | 0 | Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set | Katharina Kann, Kyunghyun Cho, Samuel R. Bowman | https://www.aclweb.org/anthology/D19-1329.pdf |
| 2019 | EMNLP | # optim-adagrad, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq, task-graph | 0 | Concept Pointer Network for Abstractive Summarization | Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou | https://www.aclweb.org/anthology/D19-1304.pdf |
| 2019 | EMNLP | # optim-sgd, 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 | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-viterbi, struct-crf, task-seqlab | 1 | Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction | Shun Zheng, Wei Cao, Wei Xu, Jiang Bian | https://www.aclweb.org/anthology/D19-1032.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, arch-transformer, task-lm, task-seq2seq | 0 | Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset | Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik | https://www.aclweb.org/anthology/D19-1459.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, pre-glove, task-lm, task-seq2seq, task-graph | 0 | Sentence-Level Content Planning and Style Specification for Neural Text Generation | Xinyu Hua, Lu Wang | https://www.aclweb.org/anthology/D19-1055.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-augment, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, pre-glove, pre-bert, task-seq2seq, task-tree | 0 | Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions | Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev | https://www.aclweb.org/anthology/D19-1537.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator | Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow | https://www.aclweb.org/anthology/D19-1390.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-cnn, arch-att, arch-memo, arch-copy, task-extractive, task-seq2seq | 4 | Neural Text Summarization: A Critical Evaluation | Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/D19-1051.pdf |
| 2019 | EMNLP | # 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 | # train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, pre-skipthought, task-seq2seq | 0 | A Modular Architecture for Unsupervised Sarcasm Generation | Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/D19-1636.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-elmo, pre-bert, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq, task-cloze | 6 | Text Summarization with Pretrained Encoders | Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/D19-1387.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-att, arch-copy, arch-coverage, task-seq2seq, task-tree | 0 | NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions | Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim | https://www.aclweb.org/anthology/D19-1262.pdf |
| 2019 | EMNLP | # train-transfer, train-augment, arch-att, arch-copy, arch-coverage, arch-transformer, task-seq2seq | 0 | Abstract Text Summarization: A Low Resource Challenge | Shantipriya Parida, Petr Motlicek | https://www.aclweb.org/anthology/D19-1616.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 | # arch-rnn, arch-lstm, arch-att, arch-memo, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-spanlab, task-seq2seq, task-tree | 0 | Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs | Zhibin Liu, Zheng-Yu Niu, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/D19-1187.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm | 0 | Neural Duplicate Question Detection without Labeled Training Data | Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1171.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-lm, task-condlm, task-seq2seq | 1 | Mixture Content Selection for Diverse Sequence Generation | Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/D19-1308.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm | 0 | Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization | Daniel Deutsch, Dan Roth | https://www.aclweb.org/anthology/D19-1386.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-glove, pre-elmo, task-textpair, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting | J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme | https://www.aclweb.org/anthology/N19-1090.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-seq2seq, task-tree | 1 | PoMo: Generating Entity-Specific Post-Modifiers in Context | Jun Seok Kang, Robert Logan, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian | https://www.aclweb.org/anthology/N19-1089.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, search-beam, task-condlm, task-seq2seq, task-tree | 0 | Context Dependent Semantic Parsing over Temporally Structured Data | Charles Chen, Razvan Bunescu | https://www.aclweb.org/anthology/N19-1360.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation | 6 | Guiding Extractive Summarization with Question-Answering Rewards | Kristjan Arumae, Fei Liu | https://www.aclweb.org/anthology/N19-1264.pdf |
| 2019 | NAA-CL | # reg-stopping, norm-gradient, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, nondif-reinforce, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network | Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1091.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph | 8 | Text Generation from Knowledge Graphs with Graph Transformers | Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1238.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-copy, arch-coverage, task-lm, task-seq2seq, task-tree, task-graph | 3 | Neural Text Generation from Rich Semantic Representations | Valerie Hajdik, Jan Buys, Michael Wayne Goodman, Emily M. Bender | https://www.aclweb.org/anthology/N19-1235.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, search-beam, latent-topic, task-seq2seq | 2 | Microblog Hashtag Generation via Encoding Conversation Contexts | Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi | https://www.aclweb.org/anthology/N19-1164.pdf |
| 2019 | NAA-CL | # optim-sgd, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, search-viterbi, pre-glove, latent-vae, task-lm, task-seq2seq, task-relation | 1 | Benchmarking Hierarchical Script Knowledge | Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi | https://www.aclweb.org/anthology/N19-1412.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-layer, train-augment, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-word2vec, task-seq2seq, task-tree, task-graph | 2 | Factorising AMR generation through syntax | Kris Cao, Stephen Clark | https://www.aclweb.org/anthology/N19-1223.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-gru, arch-bigru, arch-att, arch-memo, arch-copy, task-lm, task-seq2seq | 0 | Disentangling Language and Knowledge in Task-Oriented Dialogs | Dinesh Raghu, Nikhil Gupta, Mausam | https://www.aclweb.org/anthology/N19-1126.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-decay, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-tree | 20 | Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data | Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu | https://www.aclweb.org/anthology/N19-1014.pdf |
| 2019 | NAA-CL | # optim-adam, 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 |