| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, search-beam, pre-bert, latent-vae, task-condlm, task-seq2seq | 1 | Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems | Hung Le, Doyen Sahoo, Nancy Chen, Steven Hoi | https://www.aclweb.org/anthology/P19-1564.pdf |
| 2019 | ACL | # arch-lstm, arch-gnn, arch-cnn, arch-att, arch-bilinear, pre-glove, latent-vae, loss-nce, task-seqlab, task-condlm, task-seq2seq, task-relation | 1 | Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization | Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency | https://www.aclweb.org/anthology/P19-1152.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-word2vec, task-lm, task-condlm, task-seq2seq | 1 | Attention-based Conditioning Methods for External Knowledge Integration | Katerina Margatina, Christos Baziotis, Alexandros Potamianos | https://www.aclweb.org/anthology/P19-1385.pdf |
| 2019 | ACL | # optim-adam, 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-projection, train-transfer, train-augment, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-condlm | 7 | Mitigating Gender Bias in Natural Language Processing: Literature Review | Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang | https://www.aclweb.org/anthology/P19-1159.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, task-lm, task-condlm | 1 | Generating Question Relevant Captions to Aid Visual Question Answering | Jialin Wu, Zeyuan Hu, Raymond Mooney | https://www.aclweb.org/anthology/P19-1348.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-coverage, arch-subword, task-textpair, task-condlm, task-seq2seq | 1 | Simple and Effective Paraphrastic Similarity from Parallel Translations | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/P19-1453.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-decay, train-mtl, arch-lstm, arch-bilstm, arch-att, task-condlm, task-seq2seq | 1 | Storyboarding of Recipes: Grounded Contextual Generation | Khyathi Chandu, Eric Nyberg, Alan W Black | https://www.aclweb.org/anthology/P19-1606.pdf |
| 2019 | ACL | # optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-condlm, task-seq2seq | 0 | Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing | Yuanchao Liu, Bo Pang, Bingquan Liu | https://www.aclweb.org/anthology/P19-1552.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, task-condlm | 4 | The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue | Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández | https://www.aclweb.org/anthology/P19-1184.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mtl, train-active, arch-att, arch-subword, arch-transformer, pre-fasttext, task-condlm | 14 | Learning from Dialogue after Deployment: Feed Yourself, Chatbot! | Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare, Jason Weston | https://www.aclweb.org/anthology/P19-1358.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-paravec, task-condlm, task-seq2seq | 1 | Improving Visual Question Answering by Referring to Generated Paragraph Captions | Hyounghun Kim, Mohit Bansal | https://www.aclweb.org/anthology/P19-1351.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree | 1 | Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming | Caio Corro, Ivan Titov | https://www.aclweb.org/anthology/P19-1551.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-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 | # arch-lstm, search-beam, latent-vae, task-lm, task-condlm | 0 | Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories | Sina Zarrieß, David Schlangen | https://www.aclweb.org/anthology/P19-1063.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, comb-ensemble, search-greedy, task-textclass, task-lm, task-condlm, task-seq2seq | 3 | A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification | Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun | https://www.aclweb.org/anthology/P19-1518.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, arch-memo, pre-word2vec, latent-topic, task-textpair, task-seqlab, task-condlm | 1 | Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network | Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou | https://www.aclweb.org/anthology/P19-1345.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-residual, arch-memo, comb-ensemble, pre-glove, task-textpair, task-condlm, task-tree | 2 | Simple and Effective Text Matching with Richer Alignment Features | Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen | https://www.aclweb.org/anthology/P19-1465.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-transformer, search-beam, pre-glove, pre-bert, task-lm, task-condlm, task-seq2seq | 1 | Comparison of Diverse Decoding Methods from Conditional Language Models | Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova, Chris Callison-Burch | https://www.aclweb.org/anthology/P19-1365.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq | 5 | Sparse Sequence-to-Sequence Models | Ben Peters, Vlad Niculae, André F. T. Martins | https://www.aclweb.org/anthology/P19-1146.pdf |
| 2019 | ACL | # optim-adam, 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-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation | 2 | Visually Grounded Neural Syntax Acquisition | Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu | https://www.aclweb.org/anthology/P19-1180.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq | 10 | Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog | Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1648.pdf |
| 2019 | ACL | # train-augment, arch-lstm, arch-att, arch-transformer, task-lm, task-condlm, task-seq2seq | 1 | Visual Story Post-Editing | Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Huang | https://www.aclweb.org/anthology/P19-1658.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, task-lm, task-condlm | 3 | CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication | Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh | https://www.aclweb.org/anthology/P19-1651.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, search-beam, pre-word2vec, adv-train, latent-vae, task-lm, task-condlm, task-seq2seq | 3 | Retrieval-Enhanced Adversarial Training for Neural Response Generation | Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei, Ting Liu | https://www.aclweb.org/anthology/P19-1366.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-lm, task-condlm, task-seq2seq | 1 | Informative Image Captioning with External Sources of Information | Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut | https://www.aclweb.org/anthology/P19-1650.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, search-beam, adv-examp, task-lm, task-condlm, task-seq2seq | 1 | TIGS: An Inference Algorithm for Text Infilling with Gradient Search | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv | https://www.aclweb.org/anthology/P19-1406.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, pool-max, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-condlm, task-seq2seq | 1 | Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection | Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu | https://www.aclweb.org/anthology/P19-1006.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-condlm | 1 | Learning to Discover, Ground and Use Words with Segmental Neural Language Models | Kazuya Kawakami, Chris Dyer, Phil Blunsom | https://www.aclweb.org/anthology/P19-1645.pdf |
| 2019 | ACL | # optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-beam, task-seqlab, task-lm, task-condlm, task-seq2seq, task-relation | 0 | Generating Responses with a Specific Emotion in Dialog | Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1359.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon | 2 | Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts | Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith | https://www.aclweb.org/anthology/P19-1264.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq | 2 | Exact Hard Monotonic Attention for Character-Level Transduction | Shijie Wu, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1148.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, comb-ensemble, pre-glove, latent-topic, task-condlm | 1 | Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts | Alakananda Vempala, Daniel Preoţiuc-Pietro | https://www.aclweb.org/anthology/P19-1272.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-condlm, task-seq2seq | 1 | Negative Lexically Constrained Decoding for Paraphrase Generation | Tomoyuki Kajiwara | https://www.aclweb.org/anthology/P19-1607.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-coverage, search-beam, pre-word2vec, pre-bert, nondif-reinforce, latent-vae, task-seqlab, task-condlm, task-seq2seq, task-relation, task-tree, task-graph | 0 | Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning | Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros | https://www.aclweb.org/anthology/P19-1451.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-worddropout, reg-stopping, train-mtl, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm, task-condlm | 1 | Neural Legal Judgment Prediction in English | Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras | https://www.aclweb.org/anthology/P19-1424.pdf |
| 2019 | ACL | # optim-amsgrad, init-glorot, reg-dropout, reg-labelsmooth, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, arch-bilinear, search-beam, task-lm, task-condlm, task-seq2seq | 0 | Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System | Hardik Chauhan, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1540.pdf |
| 2019 | ACL | # optim-adam, init-glorot, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-greedy, nondif-reinforce, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Towards Comprehensive Description Generation from Factual Attribute-value Tables | Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui | https://www.aclweb.org/anthology/P19-1600.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-subword, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 2 | Like a Baby: Visually Situated Neural Language Acquisition | Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter | https://www.aclweb.org/anthology/P19-1506.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-lstm, arch-att, arch-memo, pre-glove, task-textpair, task-condlm | 10 | Dialogue Natural Language Inference | Sean Welleck, Jason Weston, Arthur Szlam, Kyunghyun Cho | https://www.aclweb.org/anthology/P19-1363.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-condlm | 0 | What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues | Yu Qin, Yi Yang | https://www.aclweb.org/anthology/P19-1038.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-gru, arch-att, arch-bilinear, pre-glove, pre-elmo, loss-margin, task-lm, task-condlm, task-seq2seq | 0 | Multi-grained Attention with Object-level Grounding for Visual Question Answering | Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao, Yong Zhu | https://www.aclweb.org/anthology/P19-1349.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, pre-glove, task-textclass, task-condlm | 1 | Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model | Yitao Cai, Huiyu Cai, Xiaojun Wan | https://www.aclweb.org/anthology/P19-1239.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-stopping, train-mtl, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-transformer, search-beam, task-condlm, task-seq2seq | 4 | Distilling Translations with Visual Awareness | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/P19-1653.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-att, pre-word2vec, pre-bert, task-condlm, task-tree | 17 | A Corpus for Reasoning about Natural Language Grounded in Photographs | Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai, Yoav Artzi | https://www.aclweb.org/anthology/P19-1644.pdf |
| 2019 | ACL | # optim-sgd, arch-lstm, arch-cnn, arch-att, search-viterbi, pre-word2vec, task-textpair, task-condlm | 2 | Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video | Zhenfang Chen, Lin Ma, Wenhan Luo, Kwan-Yee Kenneth Wong | https://www.aclweb.org/anthology/P19-1183.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-att, nondif-reinforce, task-lm, task-condlm, task-seq2seq | 0 | Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports | Baoyu Jing, Zeya Wang, Eric Xing | https://www.aclweb.org/anthology/P19-1657.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-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-adam, reg-dropout, reg-patience, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, adv-examp, latent-vae, task-lm, task-condlm, task-seq2seq | 0 | Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation | Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun | https://www.aclweb.org/anthology/P19-1197.pdf |
| 2019 | ACL | # train-mtl, arch-lstm, arch-cnn, arch-att, task-condlm, task-seq2seq | 0 | Learning to Relate from Captions and Bounding Boxes | Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli | https://www.aclweb.org/anthology/P19-1660.pdf |
| 2019 | ACL | # arch-rnn, arch-att, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-condlm, task-seq2seq | 3 | VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions | Pranava Madhyastha, Josiah Wang, Lucia Specia | https://www.aclweb.org/anthology/P19-1654.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-greedy, search-beam, pre-glove, task-condlm, task-seq2seq, task-tree | 2 | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko | https://www.aclweb.org/anthology/P19-1655.pdf |
| 2019 | ACL | # 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 | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Expressing Visual Relationships via Language | Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal | https://www.aclweb.org/anthology/P19-1182.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq | 6 | Attention Guided Graph Convolutional Networks for Relation Extraction | Zhijiang Guo, Yan Zhang, Wei Lu | https://www.aclweb.org/anthology/P19-1024.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-selfatt, struct-crf, nondif-reinforce, task-seqlab, task-condlm | 0 | A Prism Module for Semantic Disentanglement in Name Entity Recognition | Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li | https://www.aclweb.org/anthology/P19-1532.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-textpair, task-condlm, task-seq2seq | 0 | YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension | Weiying Wang, Yongcheng Wang, Shizhe Chen, Qin Jin | https://www.aclweb.org/anthology/D19-1517.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-coverage, pre-bert, task-lm, task-condlm, task-seq2seq | 0 | VizSeq: a visual analysis toolkit for text generation tasks | Changhan Wang, Anirudh Jain, Danlu Chen, Jiatao Gu | https://www.aclweb.org/anthology/D19-3043.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, task-condlm | 5 | Dual Attention Networks for Visual Reference Resolution in Visual Dialog | Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang | https://www.aclweb.org/anthology/D19-1209.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-gating, adv-train, task-lm, task-condlm, task-seq2seq | 0 | Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation | Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei | https://www.aclweb.org/anthology/D19-1409.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-lstm, arch-att, pre-fasttext, pre-bert, loss-margin, loss-triplet, task-lm, task-condlm, task-seq2seq | 0 | Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations | Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann | https://www.aclweb.org/anthology/D19-1154.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, reg-dropout, norm-layer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, adv-train, latent-vae, task-condlm, task-seq2seq | 0 | Semi-supervised Text Style Transfer: Cross Projection in Latent Space | Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan | https://www.aclweb.org/anthology/D19-1499.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-viterbi, pre-glove, pre-elmo, struct-crf, task-seqlab, task-condlm | 0 | Phrase Grounding by Soft-Label Chain Conditional Random Field | Jiacheng Liu, Julia Hockenmaier | https://www.aclweb.org/anthology/D19-1515.pdf |
| 2019 | EMNLP | # arch-lstm, arch-gru, arch-transformer, task-seqlab, task-condlm, task-seq2seq | 2 | Neural data-to-text generation: A comparison between pipeline and end-to-end architectures | Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer | https://www.aclweb.org/anthology/D19-1052.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-att, arch-transformer, search-beam, pre-word2vec, task-lm, task-condlm, task-seq2seq | 2 | Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering | Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut | https://www.aclweb.org/anthology/D19-1155.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, adv-train, loss-triplet, task-condlm, task-seq2seq | 0 | Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach | Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon | https://www.aclweb.org/anthology/D19-1208.pdf |
| 2019 | EMNLP | # optim-projection, arch-gru, arch-att, task-condlm, task-seq2seq | 0 | REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning | Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao | https://www.aclweb.org/anthology/D19-1156.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, arch-subword, arch-transformer, search-greedy, search-beam, task-lm, task-condlm, task-seq2seq | 1 | Speculative Beam Search for Simultaneous Translation | Renjie Zheng, Mingbo Ma, Baigong Zheng, Liang Huang | https://www.aclweb.org/anthology/D19-1144.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, train-active, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-condlm, task-seq2seq | 14 | Learning to Speak and Act in a Fantasy Text Adventure Game | Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston | https://www.aclweb.org/anthology/D19-1062.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation | 0 | Partners in Crime: Multi-view Sequential Inference for Movie Understanding | Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen | https://www.aclweb.org/anthology/D19-1212.pdf |
| 2019 | EMNLP | # train-augment, arch-lstm, arch-att, task-lm, task-condlm | 0 | Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation | Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas | https://www.aclweb.org/anthology/D19-1596.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-condlm, task-seq2seq | 0 | What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues | Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang | https://www.aclweb.org/anthology/D19-1516.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, search-beam, nondif-reinforce, task-lm, task-condlm | 1 | Improving Generative Visual Dialog by Answering Diverse Questions | Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das | https://www.aclweb.org/anthology/D19-1152.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-lstm, arch-bilstm, arch-att, arch-coverage, task-extractive, task-condlm, task-seq2seq | 0 | Attention Optimization for Abstractive Document Summarization | Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang | https://www.aclweb.org/anthology/D19-1117.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, arch-rnn, arch-gru, arch-att, pre-word2vec, pre-elmo, task-condlm | 2 | Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts | Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky, Ajay Divakaran | https://www.aclweb.org/anthology/D19-1469.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, arch-lstm, arch-att, task-condlm, task-seq2seq, task-tree | 0 | RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation | Tzuf Paz-Argaman, Reut Tsarfaty | https://www.aclweb.org/anthology/D19-1681.pdf |
| 2019 | EMNLP | # optim-adam, optim-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 | # train-parallel, comb-ensemble, pre-word2vec, pre-glove, pre-bert, task-condlm | 0 | Grounding learning of modifier dynamics: An application to color naming | Xudong Han, Philip Schulz, Trevor Cohn | https://www.aclweb.org/anthology/D19-1158.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Compositional Generalization for Primitive Substitutions | Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness | https://www.aclweb.org/anthology/D19-1438.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, search-greedy, task-extractive, task-condlm, task-seq2seq | 1 | An Entity-Driven Framework for Abstractive Summarization | Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang | https://www.aclweb.org/anthology/D19-1323.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, pool-max, arch-gcnn, arch-cnn, arch-att, pre-glove, task-textclass, task-condlm, task-seq2seq | 0 | Hierarchical Text Classification with Reinforced Label Assignment | Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren | https://www.aclweb.org/anthology/D19-1042.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq | 0 | Select and Attend: Towards Controllable Content Selection in Text Generation | Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine | https://www.aclweb.org/anthology/D19-1054.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq | 0 | Generating Classical Chinese Poems from Vernacular Chinese | Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu | https://www.aclweb.org/anthology/D19-1637.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-cnn, arch-att, arch-selfatt, task-textpair, task-condlm | 0 | DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization | Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li, Jun Xiao | https://www.aclweb.org/anthology/D19-1518.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, search-beam, adv-train, task-lm, task-condlm, task-seq2seq, task-relation | 0 | Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation | Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1501.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-att, adv-examp, adv-train, task-condlm, task-seq2seq | 8 | Attention is not not Explanation | Sarah Wiegreffe, Yuval Pinter | https://www.aclweb.org/anthology/D19-1002.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, arch-att, arch-bilinear, adv-examp, task-lm, task-condlm, task-seq2seq | 0 | TIGEr: Text-to-Image Grounding for Image Caption Evaluation | Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao | https://www.aclweb.org/anthology/D19-1220.pdf |
| 2019 | EMNLP | # optim-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 | # train-augment, arch-transformer, adv-examp, task-textpair, task-condlm, task-seq2seq | 0 | Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets | Hong-Ren Mao, Hung-Yi Lee | https://www.aclweb.org/anthology/D19-1611.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-layer, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, task-textpair, task-condlm | 0 | Asynchronous Deep Interaction Network for Natural Language Inference | Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1271.pdf |
| 2019 | EMNLP | # train-transfer, arch-gru, task-lm, task-condlm, task-seq2seq | 1 | Domain Adaptive Text Style Transfer | Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun | https://www.aclweb.org/anthology/D19-1325.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, adv-train, task-lm, task-condlm, task-seq2seq | 0 | ARAML: A Stable Adversarial Training Framework for Text Generation | Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu | https://www.aclweb.org/anthology/D19-1436.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, train-mll, train-augment, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-lm, task-condlm, task-seq2seq | 19 | LXMERT: Learning Cross-Modality Encoder Representations from Transformers | Hao Tan, Mohit Bansal | https://www.aclweb.org/anthology/D19-1514.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, pre-glove, task-condlm, task-seq2seq, task-relation | 0 | Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks | Chen Zhang, Qiuchi Li, Dawei Song | https://www.aclweb.org/anthology/D19-1464.pdf |
| 2019 | EMNLP | # optim-projection, train-transfer, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-condlm | 0 | Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects | James Mullenbach, Jonathan Gordon, Nanyun Peng, Jonathan May | https://www.aclweb.org/anthology/D19-1625.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, 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-projection, train-mll, arch-rnn, arch-cnn, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations | Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez | https://www.aclweb.org/anthology/D19-3026.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-coverage, search-beam, task-extractive, task-condlm, task-seq2seq | 0 | Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes | Litton J Kurisinkel, Nancy Chen | https://www.aclweb.org/anthology/D19-1638.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, arch-coverage, arch-subword, task-condlm, task-seq2seq | 0 | Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning | Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura, Tomoko Ohkuma | https://www.aclweb.org/anthology/D19-1315.pdf |
| 2019 | EMNLP | # optim-adam, 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, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Semantic Relatedness Based Re-ranker for Text Spotting | Ahmed Sabir, Francesc Moreno, Lluís Padró | https://www.aclweb.org/anthology/D19-1346.pdf |
| 2019 | EMNLP | # 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-adam, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, task-condlm | 1 | Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts | Sandro Pezzelle, Raquel Fernández | https://www.aclweb.org/anthology/D19-1285.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, train-active, arch-lstm, arch-bilstm, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-condlm, task-seq2seq | 2 | MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance | Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger | https://www.aclweb.org/anthology/D19-1053.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq | 0 | Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag | Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang, Chunhong Pan | https://www.aclweb.org/anthology/D19-1213.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-word2vec, task-lm, task-condlm, task-seq2seq | 0 | Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents | Jack Hessel, Lillian Lee, David Mimno | https://www.aclweb.org/anthology/D19-1210.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator | Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow | https://www.aclweb.org/anthology/D19-1390.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-residual, search-greedy, search-beam, latent-vae, task-textclass, task-condlm, task-seq2seq | 0 | Exploring Diverse Expressions for Paraphrase Generation | Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu | https://www.aclweb.org/anthology/D19-1313.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq | 1 | Neural Naturalist: Generating Fine-Grained Image Comparisons | Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie | https://www.aclweb.org/anthology/D19-1065.pdf |
| 2019 | EMNLP | # pre-glove, pre-bert, task-extractive, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Counterfactual Story Reasoning and Generation | Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi | https://www.aclweb.org/anthology/D19-1509.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-cnn, task-lm, task-condlm | 0 | Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation | Mingyang Zhou, Josh Arnold, Zhou Yu | https://www.aclweb.org/anthology/D19-1014.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, comb-ensemble, search-beam, nondif-reinforce, task-lm, task-condlm, task-seq2seq | 2 | Countering Language Drift via Visual Grounding | Jason Lee, Kyunghyun Cho, Douwe Kiela | https://www.aclweb.org/anthology/D19-1447.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-transformer, comb-ensemble, pre-bert, task-lm, task-condlm, task-cloze, task-tree | 11 | Fusion of Detected Objects in Text for Visual Question Answering | Chris Alberti, Jeffrey Ling, Michael Collins, David Reitter | https://www.aclweb.org/anthology/D19-1219.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, task-textclass, task-extractive, task-lm, task-condlm, task-seq2seq | 0 | From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining | Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel | https://www.aclweb.org/anthology/D19-1556.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-bilstm, arch-transformer, pre-fasttext, pre-bert, adv-examp, task-textpair, task-condlm, task-seq2seq | 1 | PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification | Yinfei Yang, Yuan Zhang, Chris Tar, Jason Baldridge | https://www.aclweb.org/anthology/D19-1382.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-energy, search-sampling, pre-glove, struct-crf, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Autoregressive Text Generation Beyond Feedback Loops | Florian Schmidt, Stephan Mandt, Thomas Hofmann | https://www.aclweb.org/anthology/D19-1338.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-lm, task-condlm, task-seq2seq | 1 | Mixture Content Selection for Diverse Sequence Generation | Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/D19-1308.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-adadelta, reg-decay, arch-lstm, arch-recnn, arch-treelstm, arch-att, arch-coverage, search-beam, pre-glove, struct-cfg, nondif-reinforce, latent-vae, task-textpair, task-lm, task-condlm | 5 | Cooperative Learning of Disjoint Syntax and Semantics | Serhii Havrylov, Germán Kruszewski, Armand Joulin | https://www.aclweb.org/anthology/N19-1115.pdf |
| 2019 | NAA-CL | # optim-adam, reg-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-sgd, optim-adam, train-mll, arch-att, arch-subword, pre-word2vec, task-condlm, task-seq2seq, task-lexicon | 1 | Cross-lingual Visual Verb Sense Disambiguation | Spandana Gella, Desmond Elliott, Frank Keller | https://www.aclweb.org/anthology/N19-1200.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-glove, task-textclass, task-textpair, task-condlm, task-seq2seq | 59 | Attention is not Explanation | Sarthak Jain, Byron C. Wallace | https://www.aclweb.org/anthology/N19-1357.pdf |
| 2019 | NAA-CL | # arch-gru, task-condlm | 2 | VQD: Visual Query Detection In Natural Scenes | Manoj Acharya, Karan Jariwala, Christopher Kanan | https://www.aclweb.org/anthology/N19-1194.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, search-beam, task-condlm, task-seq2seq, task-tree | 0 | Context Dependent Semantic Parsing over Temporally Structured Data | Charles Chen, Razvan Bunescu | https://www.aclweb.org/anthology/N19-1360.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, arch-att, search-beam, adv-train, latent-vae, task-condlm, task-seq2seq | 5 | Answer-based Adversarial Training for Generating Clarification Questions | Sudha Rao, Hal Daumé III | https://www.aclweb.org/anthology/N19-1013.pdf |
| 2019 | NAA-CL | # norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm, task-condlm, task-seq2seq | 5 | Evaluating Text GANs as Language Models | Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant | https://www.aclweb.org/anthology/N19-1233.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq | 3 | Adversarial Training for Weakly Supervised Event Detection | Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li | https://www.aclweb.org/anthology/N19-1105.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-fasttext, loss-svd, task-condlm | 2 | AudioCaps: Generating Captions for Audios in The Wild | Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim | https://www.aclweb.org/anthology/N19-1011.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-att, search-beam, adv-train, task-lm, task-condlm, task-seq2seq | 14 | Unifying Human and Statistical Evaluation for Natural Language Generation | Tatsunori Hashimoto, Hugh Zhang, Percy Liang | https://www.aclweb.org/anthology/N19-1169.pdf |
| 2019 | NAA-CL | # 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-adam, optim-projection, reg-dropout, reg-stopping, norm-gradient, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, struct-crf, adv-examp, adv-train, task-textclass, task-lm, task-condlm | 3 | Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems | Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych | https://www.aclweb.org/anthology/N19-1165.pdf |
| 2019 | NAA-CL | # optim-adagrad, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, search-beam, task-condlm, task-seq2seq | 2 | Learning to Stop in Structured Prediction for Neural Machine Translation | Mingbo Ma, Renjie Zheng, Liang Huang | https://www.aclweb.org/anthology/N19-1187.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-greedy, nondif-gumbelsoftmax, adv-train, task-lm, task-condlm, task-seq2seq | 2 | Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation | Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do Omri, Ahmad Rashid | https://www.aclweb.org/anthology/N19-1234.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment | 9 | PAWS: Paraphrase Adversaries from Word Scrambling | Yuan Zhang, Jason Baldridge, Luheng He | https://www.aclweb.org/anthology/N19-1131.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-gradient, train-mll, train-augment, arch-rnn, arch-lstm, arch-att, arch-energy, task-condlm, task-seq2seq, task-relation | 7 | A Simple Joint Model for Improved Contextual Neural Lemmatization | Chaitanya Malaviya, Shijie Wu, Ryan Cotterell | https://www.aclweb.org/anthology/N19-1155.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, task-lm, task-condlm, task-seq2seq | 10 | Probing the Need for Visual Context in Multimodal Machine Translation | Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault | https://www.aclweb.org/anthology/N19-1422.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-att, arch-energy, search-beam, struct-crf, struct-cfg, loss-nce, task-condlm, task-seq2seq, task-relation | 0 | An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/N19-1171.pdf |
| 2019 | NAA-CL | # optim-adam, norm-batch, arch-lstm, arch-att, arch-bilinear, adv-feat, adv-train, task-condlm, task-seq2seq | 0 | The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding | Yiqun Yao, Jiaming Xu, Bo Xu | https://www.aclweb.org/anthology/N19-1266.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-worddropout, norm-layer, arch-rnn, arch-lstm, arch-att, pre-glove, nondif-reinforce, latent-vae, task-lm, task-condlm, task-seq2seq, task-tree | 4 | SEQˆ3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression | Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, Alexandros Potamianos | https://www.aclweb.org/anthology/N19-1071.pdf |