| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 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, 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, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-lm | 2 | Target-Guided Open-Domain Conversation | Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing, Zhiting Hu | https://www.aclweb.org/anthology/P19-1565.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, adv-train, latent-vae, latent-topic | 0 | Topic Modeling with Wasserstein Autoencoders | Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang | https://www.aclweb.org/anthology/P19-1640.pdf |
| 2019 | ACL | # 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 | # optim-adam, optim-projection, norm-gradient, train-mll, train-transfer, activ-relu, pool-max, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-skipthought, latent-vae, task-textpair, task-lm, task-seq2seq, task-cloze | 0 | Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning | Shuai Tang, Virginia R. de Sa | https://www.aclweb.org/anthology/P19-1397.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-att, arch-residual, arch-coverage, latent-vae, loss-nce, task-lm, task-seq2seq, task-lexicon | 1 | Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B | Jiaming Luo, Yuan Cao, Regina Barzilay | https://www.aclweb.org/anthology/P19-1303.pdf |
| 2019 | ACL | # pre-glove, latent-vae | 8 | Towards Understanding Linear Word Analogies | Kawin Ethayarajh, David Duvenaud, Graeme Hirst | https://www.aclweb.org/anthology/P19-1315.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-parallel, arch-rnn, arch-gru, arch-memo, pre-glove, pre-bert, latent-vae, task-lm | 3 | The Referential Reader: A Recurrent Entity Network for Anaphora Resolution | Fei Liu, Luke Zettlemoyer, Jacob Eisenstein | https://www.aclweb.org/anthology/P19-1593.pdf |
| 2019 | ACL | # train-mll, pool-max, arch-lstm, arch-att, arch-memo, nondif-reinforce, adv-train, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze, task-context | 1 | Self-Supervised Dialogue Learning | Jiawei Wu, Xin Wang, William Yang Wang | https://www.aclweb.org/anthology/P19-1375.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-att, search-beam, pre-elmo, latent-vae, task-extractive, task-lm, task-seq2seq | 1 | Simple Unsupervised Summarization by Contextual Matching | Jiawei Zhou, Alexander Rush | https://www.aclweb.org/anthology/P19-1503.pdf |
| 2019 | ACL | # reg-labelsmooth, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq | 4 | Syntactically Supervised Transformers for Faster Neural Machine Translation | Nader Akoury, Kalpesh Krishna, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1122.pdf |
| 2019 | ACL | # train-mll, struct-crf, latent-vae, task-seqlab, task-tree | 3 | Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems | Yanyan Zou, Wei Lu | https://www.aclweb.org/anthology/P19-1517.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, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-fasttext, pre-glove, latent-vae, task-relation | 1 | An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier | https://www.aclweb.org/anthology/P19-1048.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, nondif-straightthrough, nondif-reinforce, latent-vae, task-textclass, task-textpair, task-lm | 3 | Interpretable Neural Predictions with Differentiable Binary Variables | Joost Bastings, Wilker Aziz, Ivan Titov | https://www.aclweb.org/anthology/P19-1284.pdf |
| 2019 | ACL | # optim-adam, 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-projection, arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-vae, latent-topic, loss-cca, loss-svd, task-textclass | 0 | Word2Sense: Sparse Interpretable Word Embeddings | Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya | https://www.aclweb.org/anthology/P19-1570.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, pre-bert, latent-vae, task-textpair, task-spanlab, task-lm, task-tree | 5 | Latent Retrieval for Weakly Supervised Open Domain Question Answering | Kenton Lee, Ming-Wei Chang, Kristina Toutanova | https://www.aclweb.org/anthology/P19-1612.pdf |
| 2019 | ACL | # 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, 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 | # train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-word2vec, adv-train, latent-vae | 2 | Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation | Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou | https://www.aclweb.org/anthology/P19-1192.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-viterbi, struct-crf, latent-vae, loss-nce, task-relation, task-tree | 1 | Enhancing Unsupervised Generative Dependency Parser with Contextual Information | Wenjuan Han, Yong Jiang, Kewei Tu | https://www.aclweb.org/anthology/P19-1526.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Improving Abstractive Document Summarization with Salient Information Modeling | Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang | https://www.aclweb.org/anthology/P19-1205.pdf |
| 2019 | ACL | # optim-adam, optim-projection, pre-glove, latent-vae | 3 | Understanding Undesirable Word Embedding Associations | Kawin Ethayarajh, David Duvenaud, Graeme Hirst | https://www.aclweb.org/anthology/P19-1166.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, pool-max, arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-skipthought, latent-vae, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq | 1 | Learning Compressed Sentence Representations for On-Device Text Processing | Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin | https://www.aclweb.org/anthology/P19-1011.pdf |
| 2019 | ACL | # 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-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, search-viterbi, pre-skipthought, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq | 2 | Extracting Symptoms and their Status from Clinical Conversations | Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran | https://www.aclweb.org/anthology/P19-1087.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-subword, pre-fasttext, latent-vae, loss-svd, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Multilingual Factor Analysis | Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis, Nils Hammerla | https://www.aclweb.org/anthology/P19-1170.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-active, arch-att, arch-memo, arch-transformer, pre-word2vec, pre-fasttext, latent-vae, loss-nce, task-seq2seq | 1 | Improving Neural Conversational Models with Entropy-Based Data Filtering | Richárd Csáky, Patrik Purgai, Gábor Recski | https://www.aclweb.org/anthology/P19-1567.pdf |
| 2019 | ACL | # train-mtl, arch-att, pre-glove, latent-vae, task-textpair | 0 | Evidence-based Trustworthiness | Yi Zhang, Zachary Ives, Dan Roth | https://www.aclweb.org/anthology/P19-1040.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-gating, arch-memo, arch-coverage, pre-word2vec, adv-train, latent-vae, task-seq2seq | 0 | Enhancing Topic-to-Essay Generation with External Commonsense Knowledge | Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun | https://www.aclweb.org/anthology/P19-1193.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, search-beam, latent-vae, task-textclass, task-lm, task-seq2seq | 2 | Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking | Masaru Isonuma, Junichiro Mori, Ichiro Sakata | https://www.aclweb.org/anthology/P19-1206.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, latent-vae, task-relation | 0 | Data Programming for Learning Discourse Structure | Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher | https://www.aclweb.org/anthology/P19-1061.pdf |
| 2019 | ACL | # train-mtl, train-transfer, arch-lstm, arch-att, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq, task-cloze | 6 | Pretraining Methods for Dialog Context Representation Learning | Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, Maxine Eskenazi | https://www.aclweb.org/anthology/P19-1373.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, reg-dropout, reg-worddropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, struct-cfg, adv-train, latent-vae, task-lm, task-seq2seq | 0 | Generating Sentences from Disentangled Syntactic and Semantic Spaces | Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/P19-1602.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, comb-ensemble, pre-glove, latent-vae | 3 | Graph Neural Networks with Generated Parameters for Relation Extraction | Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun | https://www.aclweb.org/anthology/P19-1128.pdf |
| 2019 | ACL | # optim-adam, 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-dropout, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-vae, task-seq2seq | 3 | Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation | Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1288.pdf |
| 2019 | ACL | # optim-adam, 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-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-att, arch-coverage, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Syntax-Infused Variational Autoencoder for Text Generation | Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin | https://www.aclweb.org/anthology/P19-1199.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-lm | 0 | Better Exploiting Latent Variables in Text Modeling | Canasai Kruengkrai | https://www.aclweb.org/anthology/P19-1553.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models | Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin | https://www.aclweb.org/anthology/P19-1200.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-layer, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-tree | 4 | Decomposable Neural Paraphrase Generation | Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu | https://www.aclweb.org/anthology/P19-1332.pdf |
| 2019 | ACL | # optim-adam, latent-vae, latent-topic, loss-nce, task-relation | 1 | Unsupervised Discovery of Gendered Language through Latent-Variable Modeling | Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1167.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, pre-word2vec, latent-vae, task-seq2seq | 1 | Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables | Lei Shen, Yang Feng, Haolan Zhan | https://www.aclweb.org/anthology/P19-1549.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-bert, adv-examp, adv-train, latent-vae, task-textclass, task-textpair, task-seq2seq | 0 | Soft Representation Learning for Sparse Transfer | Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang | https://www.aclweb.org/anthology/P19-1151.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | Unsupervised Question Answering by Cloze Translation | Patrick Lewis, Ludovic Denoyer, Sebastian Riedel | https://www.aclweb.org/anthology/P19-1484.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-batch, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, latent-vae, latent-topic, task-lm | 1 | Open Domain Event Extraction Using Neural Latent Variable Models | Xiao Liu, Heyan Huang, Yue Zhang | https://www.aclweb.org/anthology/P19-1276.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, latent-vae, loss-margin, task-seq2seq | 2 | Latent Variable Model for Multi-modal Translation | Iacer Calixto, Miguel Rios, Wilker Aziz | https://www.aclweb.org/anthology/P19-1642.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-stopping, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, struct-crf, struct-cfg, latent-vae, task-seqlab, task-lm, task-graph | 4 | Compound Probabilistic Context-Free Grammars for Grammar Induction | Yoon Kim, Chris Dyer, Alexander Rush | https://www.aclweb.org/anthology/P19-1228.pdf |
| 2019 | ACL | # init-glorot, reg-stopping, train-mtl, arch-lstm, arch-memo, search-beam, pre-glove, latent-vae, task-seqlab, task-seq2seq, task-tree | 2 | Controllable Paraphrase Generation with a Syntactic Exemplar | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel | https://www.aclweb.org/anthology/P19-1599.pdf |
| 2019 | ACL | # reg-norm, arch-att, arch-subword, pre-fasttext, pre-glove, latent-vae, latent-topic, task-textclass, task-lm | 0 | Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors | Shoaib Jameel, Steven Schockaert | https://www.aclweb.org/anthology/P19-1321.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-att, arch-selfatt, arch-transformer, pre-fasttext, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq | 6 | Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation | Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1601.pdf |
| 2019 | ACL | # arch-lstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, latent-vae | 1 | We Need to Talk about Standard Splits | Kyle Gorman, Steven Bedrick | https://www.aclweb.org/anthology/P19-1267.pdf |
| 2019 | ACL | # optim-adam, 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-stopping, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, pre-glove, latent-vae, loss-nce, task-seqlab | 0 | Distant Learning for Entity Linking with Automatic Noise Detection | Phong Le, Ivan Titov | https://www.aclweb.org/anthology/P19-1400.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, adv-examp, latent-vae, task-lm, task-condlm, task-seq2seq | 0 | Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation | Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun | https://www.aclweb.org/anthology/P19-1197.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm | 1 | Variational Pretraining for Semi-supervised Text Classification | Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith | https://www.aclweb.org/anthology/P19-1590.pdf |
| 2019 | ACL | # reg-dropout, reg-stopping, arch-att, pre-word2vec, pre-glove, latent-vae, task-seqlab | 1 | Boosting Entity Linking Performance by Leveraging Unlabeled Documents | Phong Le, Ivan Titov | https://www.aclweb.org/anthology/P19-1187.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-cnn, arch-att, comb-ensemble, adv-train, latent-vae, latent-topic, task-textclass, task-seq2seq | 0 | Semi-supervised Stochastic Multi-Domain Learning using Variational Inference | Yitong Li, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1186.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-treelstm, pre-elmo, struct-crf, latent-vae, task-lm, task-tree | 0 | Latent Variable Sentiment Grammar | Liwen Zhang, Kewei Tu, Yue Zhang | https://www.aclweb.org/anthology/P19-1457.pdf |
| 2019 | ACL | # pre-glove, latent-vae, latent-topic, task-textclass | 0 | Leveraging Meta Information in Short Text Aggregation | He Zhao, Lan Du, Guanfeng Liu, Wray Buntine | https://www.aclweb.org/anthology/P19-1396.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-transformer, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq | 1 | Coreference Resolution with Entity Equalization | Ben Kantor, Amir Globerson | https://www.aclweb.org/anthology/P19-1066.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, search-beam, pre-glove, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 0 | A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching | Jihun Choi, Taeuk Kim, Sang-goo Lee | https://www.aclweb.org/anthology/P19-1469.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-augment, pool-max, pool-mean, arch-rnn, arch-lstm, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, search-greedy, search-beam, pre-glove, pre-bert, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 7 | AMR Parsing as Sequence-to-Graph Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/P19-1009.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, adv-train, latent-vae | 1 | ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification | Wei Jia, Dai Dai, Xinyan Xiao, Hua Wu | https://www.aclweb.org/anthology/P19-1135.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-seq2seq | 1 | Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References | Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/P19-1372.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, train-augment, arch-att, arch-selfatt, arch-residual, arch-transformer, struct-hmm, adv-train, latent-vae, task-textclass, task-lm, task-seq2seq | 4 | Unsupervised Paraphrasing without Translation | Aurko Roy, David Grangier | https://www.aclweb.org/anthology/P19-1605.pdf |
| 2019 | ACL | # optim-adam, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, task-textclass, task-seqlab | 1 | Incremental Learning from Scratch for Task-Oriented Dialogue Systems | Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li | https://www.aclweb.org/anthology/P19-1361.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-alignment | 0 | Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach | Zonghan Yang, Yong Cheng, Yang Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1623.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq | 1 | Boosting Dialog Response Generation | Wenchao Du, Alan W Black | https://www.aclweb.org/anthology/P19-1005.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, latent-vae, task-textclass, task-seq2seq | 1 | Fine-Grained Sentence Functions for Short-Text Conversation | Wei Bi, Jun Gao, Xiaojiang Liu, Shuming Shi | https://www.aclweb.org/anthology/P19-1389.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, reg-patience, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-textpair, task-lm, task-seq2seq | 7 | Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study | Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio | https://www.aclweb.org/anthology/P19-1004.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-seq2seq | 0 | Modelling the interplay of metaphor and emotion through multitask learning | Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova | https://www.aclweb.org/anthology/D19-1227.pdf |
| 2019 | EMNLP | # train-active, arch-att, latent-vae, loss-nce, task-tree | 0 | Learning to Ask for Conversational Machine Learning | Shashank Srivastava, Igor Labutov, Tom Mitchell | https://www.aclweb.org/anthology/D19-1426.pdf |
| 2019 | EMNLP | # init-glorot, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-seq2seq | 0 | Parallel Iterative Edit Models for Local Sequence Transduction | Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla | https://www.aclweb.org/anthology/D19-1435.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, activ-relu, arch-lstm, struct-crf, latent-vae, task-seqlab | 0 | Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities | Bailin Wang, Wei Lu | https://www.aclweb.org/anthology/D19-1644.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, reg-patience, arch-lstm, latent-vae, task-textpair, task-lm | 1 | A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text | Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang | https://www.aclweb.org/anthology/D19-1370.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab | 0 | Answering questions by learning to rank - Learning to rank by answering questions | George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti | https://www.aclweb.org/anthology/D19-1256.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, search-viterbi, nondif-reinforce, latent-vae, task-seq2seq | 0 | Low-Resource Response Generation with Template Prior | Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li | https://www.aclweb.org/anthology/D19-1197.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-cnn, pre-glove, struct-crf, latent-vae, task-lm | 0 | Learning with Noisy Labels for Sentence-level Sentiment Classification | Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li | https://www.aclweb.org/anthology/D19-1655.pdf |
| 2019 | EMNLP | # reg-dropout, train-active, arch-lstm, arch-cnn, comb-ensemble, search-viterbi, struct-crf, latent-vae, task-seqlab | 1 | A Bayesian Approach for Sequence Tagging with Crowds | Edwin D. Simpson, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1101.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-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-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 | # train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, struct-crf, adv-train, latent-vae, task-seqlab, task-seq2seq, task-lexicon | 1 | Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables | Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung | https://www.aclweb.org/anthology/D19-1129.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, norm-gradient, arch-gru, arch-bigru, arch-att, adv-train, latent-vae, task-seq2seq | 0 | Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation | Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang | https://www.aclweb.org/anthology/D19-1511.pdf |
| 2019 | EMNLP | # reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features | Hongyin Tang, Miao Li, Beihong Jin | https://www.aclweb.org/anthology/D19-1513.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Anonymous Encoding for Text-to-SQL Generation | Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang | https://www.aclweb.org/anthology/D19-1543.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, search-viterbi, pre-word2vec, pre-glove, pre-elmo, struct-crf, latent-vae, task-textpair, task-lm, task-seq2seq | 0 | A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing | Zeyu Dai, Ruihong Huang | https://www.aclweb.org/anthology/D19-1295.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textpair, task-spanlab, task-seq2seq, task-tree, task-graph | 0 | Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing | Jonathan Herzig, Jonathan Berant | https://www.aclweb.org/anthology/D19-1394.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, latent-vae, task-spanlab, task-seq2seq | 1 | Incorporating External Knowledge into Machine Reading for Generative Question Answering | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li | https://www.aclweb.org/anthology/D19-1255.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-att, arch-coverage, comb-ensemble, search-beam, pre-glove, latent-vae, task-seq2seq, task-tree, task-graph | 0 | Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs | Bailin Wang, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/D19-1391.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, arch-rnn, arch-gru, arch-att, arch-memo, pre-word2vec, latent-vae | 0 | A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation | Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang, Ruifang Wang | https://www.aclweb.org/anthology/D19-1200.pdf |
| 2019 | EMNLP | # optim-adam, arch-gru, arch-att, search-beam, latent-vae, task-seq2seq | 1 | A Discrete CVAE for Response Generation on Short-Text Conversation | Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi | https://www.aclweb.org/anthology/D19-1198.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-fasttext, pre-elmo, latent-vae, task-textclass, task-seq2seq, task-tree | 1 | Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks | Xinchi Chen, Chunchuan Lyu, Ivan Titov | https://www.aclweb.org/anthology/D19-1544.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree | 6 | An End-to-End Generative Architecture for Paraphrase Generation | Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin | https://www.aclweb.org/anthology/D19-1309.pdf |
| 2019 | EMNLP | # arch-att, pre-use, latent-vae, latent-topic | 0 | Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery | Zhe Zhang, Munindar Singh | https://www.aclweb.org/anthology/D19-1555.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, pool-max, pool-mean, arch-cnn, arch-att, arch-selfatt, arch-memo, latent-vae, task-textclass, meta-init | 0 | Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion | Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing, Wai Lam | https://www.aclweb.org/anthology/D19-1024.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-stopping, latent-vae | 0 | A Deep Factorization of Style and Structure in Fonts | Akshay Srivatsan, Jonathan Barron, Dan Klein, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/D19-1225.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, latent-vae, latent-topic, task-seq2seq | 0 | Variational Hierarchical User-based Conversation Model | JinYeong Bak, Alice Oh | https://www.aclweb.org/anthology/D19-1202.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, train-mtl, train-active, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq | 19 | EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks | Jason Wei, Kai Zou | https://www.aclweb.org/anthology/D19-1670.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq | 0 | Adaptive Parameterization for Neural Dialogue Generation | Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin | https://www.aclweb.org/anthology/D19-1188.pdf |
| 2019 | EMNLP | # optim-adam, 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, 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, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, latent-vae, task-seqlab, task-lm, task-seq2seq, task-tree | 0 | Latent Part-of-Speech Sequences for Neural Machine Translation | Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian | https://www.aclweb.org/anthology/D19-1072.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq | 2 | Knowledge Enhanced Contextual Word Representations | Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith | https://www.aclweb.org/anthology/D19-1005.pdf |
| 2019 | EMNLP | # init-glorot, arch-lstm, arch-gru, search-sampling, pre-fasttext, latent-vae, task-textclass, task-lm, task-seq2seq | 1 | Implicit Deep Latent Variable Models for Text Generation | Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen | https://www.aclweb.org/anthology/D19-1407.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-bert, latent-vae | 0 | Transfer Learning Between Related Tasks Using Expected Label Proportions | Matan Ben Noach, Yoav Goldberg | https://www.aclweb.org/anthology/D19-1004.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-bert, adv-examp, latent-vae, task-textclass, task-lm, task-seq2seq, task-relation | 0 | Latent-Variable Generative Models for Data-Efficient Text Classification | Xiaoan Ding, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1048.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-lstm, latent-vae, task-lm | 0 | Neural Gaussian Copula for Variational Autoencoder | Prince Zizhuang Wang, William Yang Wang | https://www.aclweb.org/anthology/D19-1442.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, search-beam, latent-vae, task-extractive, task-lm, task-seq2seq | 1 | BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle | Peter West, Ari Holtzman, Jan Buys, Yejin Choi | https://www.aclweb.org/anthology/D19-1389.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, norm-gradient, pool-mean, arch-rnn, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-vae, task-seq2seq | 0 | Long and Diverse Text Generation with Planning-based Hierarchical Variational Model | Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu | https://www.aclweb.org/anthology/D19-1321.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, pool-max, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-seq2seq | 0 | Correlations between Word Vector Sets | Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Hammerla | https://www.aclweb.org/anthology/D19-1008.pdf |
| 2019 | EMNLP | # train-augment, arch-subword, arch-transformer, comb-ensemble, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Simple and Effective Noisy Channel Modeling for Neural Machine Translation | Kyra Yee, Yann Dauphin, Michael Auli | https://www.aclweb.org/anthology/D19-1571.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm | 0 | Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering | Vikas Yadav, Steven Bethard, Mihai Surdeanu | https://www.aclweb.org/anthology/D19-1260.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adadelta, reg-dropout, pool-max, arch-cnn, arch-att, arch-memo, adv-train, latent-vae | 0 | Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework | Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu | https://www.aclweb.org/anthology/D19-1031.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, struct-crf, latent-vae, task-seqlab | 0 | A Boundary-aware Neural Model for Nested Named Entity Recognition | Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu | https://www.aclweb.org/anthology/D19-1034.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-relation | 0 | Weak Supervision for Learning Discourse Structure | Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher | https://www.aclweb.org/anthology/D19-1234.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, norm-gradient, pool-max, arch-rnn, arch-gru, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-lm, task-seq2seq | 0 | Hierarchy Response Learning for Neural Conversation Generation | Bo Zhang, Xiaoming Zhang | https://www.aclweb.org/anthology/D19-1186.pdf |
| 2019 | EMNLP | # arch-att, latent-vae, task-seq2seq | 0 | Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials | Wonsuk Yang, Seungwon Yoon, Ada Carpenter, Jong Park | https://www.aclweb.org/anthology/D19-1293.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-att, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, loss-nce, task-seqlab, task-relation, task-alignment | 0 | Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing | Tao Meng, Nanyun Peng, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1103.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, 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, arch-rnn, arch-lstm, arch-gru, arch-att, adv-train, latent-vae, task-lm, task-seq2seq | 0 | Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training | Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin | https://www.aclweb.org/anthology/D19-1366.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semantic Role Labeling with Iterative Structure Refinement | Chunchuan Lyu, Shay B. Cohen, Ivan Titov | https://www.aclweb.org/anthology/D19-1099.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilinear, arch-coverage, arch-subword, pre-elmo, pre-bert, latent-vae, task-textpair, task-lm | 0 | Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders | Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum | https://www.aclweb.org/anthology/D19-1161.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, latent-vae, latent-topic | 0 | Document Hashing with Mixture-Prior Generative Models | Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen | https://www.aclweb.org/anthology/D19-1526.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, pre-word2vec, latent-vae, latent-topic | 1 | Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification | Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li | https://www.aclweb.org/anthology/D19-1488.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, search-beam, pre-word2vec, struct-crf, latent-vae, task-seqlab, task-lm, task-relation, task-tree | 0 | Neural Generative Rhetorical Structure Parsing | Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos | https://www.aclweb.org/anthology/D19-1233.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, reg-worddropout, norm-gradient, arch-rnn, arch-lstm, latent-vae, task-textpair, task-lm | 0 | Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation | Dong Qian, William K. Cheung | https://www.aclweb.org/anthology/D19-1416.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq | 1 | Learning Explicit and Implicit Structures for Targeted Sentiment Analysis | Hao Li, Wei Lu | https://www.aclweb.org/anthology/D19-1550.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, train-active, pre-elmo, pre-bert, adv-train, latent-vae, task-textclass, task-seqlab, task-lm, task-seq2seq, task-lexicon | 2 | Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER | Phillip Keung, Yichao Lu, Vikas Bhardwaj | https://www.aclweb.org/anthology/D19-1138.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, norm-batch, norm-gradient, pool-max, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-cloze, task-relation | 2 | FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow | Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard Hovy | https://www.aclweb.org/anthology/D19-1437.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-stopping, arch-lstm, arch-memo, comb-ensemble, pre-bert, latent-vae, task-textpair | 0 | Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds | John P. Lalor, Hao Wu, Hong Yu | https://www.aclweb.org/anthology/D19-1434.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, arch-lstm, arch-att, pre-glove, latent-vae, latent-topic, task-seq2seq | 0 | Coupling Global and Local Context for Unsupervised Aspect Extraction | Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, Kam-Fai Wong | https://www.aclweb.org/anthology/D19-1465.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, nondif-reinforce, adv-train, latent-vae, task-lm | 0 | Learning Rhyming Constraints using Structured Adversaries | Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/D19-1621.pdf |
| 2019 | EMNLP | # reg-patience, arch-rnn, arch-gru, arch-att, latent-vae, task-textpair, task-seq2seq | 0 | Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites | Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov | https://www.aclweb.org/anthology/D19-1406.pdf |
| 2019 | EMNLP | # optim-sgd, train-transfer, arch-rnn, arch-gru, arch-att, pre-word2vec, latent-vae, task-seq2seq | 0 | Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders | Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1201.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-residual, search-greedy, search-beam, latent-vae, task-textclass, task-condlm, task-seq2seq | 0 | Exploring Diverse Expressions for Paraphrase Generation | Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu | https://www.aclweb.org/anthology/D19-1313.pdf |
| 2019 | EMNLP | # optim-adam, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-spanlab, task-seq2seq, task-alignment | 1 | Hint-Based Training for Non-Autoregressive Machine Translation | Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1573.pdf |
| 2019 | EMNLP | # arch-transformer, pre-word2vec, pre-bert, latent-vae, latent-topic, task-textclass, task-tree | 0 | Identifying Predictive Causal Factors from News Streams | Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Lakshminarayanan Subramanian | https://www.aclweb.org/anthology/D19-1238.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-subword, pre-fasttext, adv-train, latent-vae, loss-svd, task-lexicon | 1 | A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation | Hagai Taitelbaum, Gal Chechik, Jacob Goldberger | https://www.aclweb.org/anthology/D19-1363.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, arch-rnn, arch-gru, search-beam, latent-vae, latent-topic, task-lm, task-seq2seq | 0 | Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation | Min Zeng, Yisen Wang, Yuan Luo | https://www.aclweb.org/anthology/D19-1124.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-gru, arch-att, pre-glove, latent-vae, task-textpair, task-seq2seq | 0 | Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder | Li Du, Xiao Ding, Ting Liu, Zhongyang Li | https://www.aclweb.org/anthology/D19-1270.pdf |
| 2019 | EMNLP | # reg-norm, train-mll, arch-att, struct-crf, struct-cfg, latent-vae, task-seqlab, task-tree | 1 | Text2Math: End-to-end Parsing Text into Math Expressions | Yanyan Zou, Wei Lu | https://www.aclweb.org/anthology/D19-1536.pdf |
| 2019 | EMNLP | # reg-norm, arch-rnn, arch-gru, latent-vae, task-seq2seq | 1 | A Benchmark Dataset for Learning to Intervene in Online Hate Speech | Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, William Yang Wang | https://www.aclweb.org/anthology/D19-1482.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, arch-coverage, pre-bert, nondif-reinforce, latent-vae, task-spanlab, task-tree | 2 | A Discrete Hard EM Approach for Weakly Supervised Question Answering | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1284.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq | 0 | Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains | Wei Shi, Vera Demberg | https://www.aclweb.org/anthology/D19-1586.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-dropout, arch-rnn, arch-lstm, arch-cnn, arch-coverage, pre-word2vec, struct-crf, latent-vae, loss-nce, task-seqlab, task-relation | 0 | Neural Chinese Address Parsing | Hao Li, Wei Lu, Pengjun Xie, Linlin Li | https://www.aclweb.org/anthology/N19-1346.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 4 | UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering | Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku | https://www.aclweb.org/anthology/N19-1031.pdf |
| 2019 | NAA-CL | # optim-adam, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, pre-glove, latent-vae | 3 | Be Consistent! Improving Procedural Text Comprehension using Label Consistency | Xinya Du, Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie | https://www.aclweb.org/anthology/N19-1244.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, struct-crf, latent-vae, loss-svd, task-seqlab, task-lm | 1 | Misspelling Oblivious Word Embeddings | Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira, Fabrizio Silvestri | https://www.aclweb.org/anthology/N19-1326.pdf |
| 2019 | NAA-CL | # reg-norm, arch-lstm, arch-bilstm, arch-att, search-viterbi, struct-hmm, struct-crf, latent-vae, task-seqlab | 4 | Better Modeling of Incomplete Annotations for Named Entity Recognition | Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li | https://www.aclweb.org/anthology/N19-1079.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, latent-vae, task-lm | 5 | Document-Level N-ary Relation Extraction with Multiscale Representation Learning | Robin Jia, Cliff Wong, Hoifung Poon | https://www.aclweb.org/anthology/N19-1370.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, latent-vae, task-seq2seq, task-relation | 1 | Detecting Cybersecurity Events from Noisy Short Text | Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli | https://www.aclweb.org/anthology/N19-1138.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-decay, train-active, arch-lstm, pre-word2vec, latent-vae, task-textclass, task-seqlab | 0 | Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks | Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou | https://www.aclweb.org/anthology/N19-1295.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, train-mll, arch-att, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-use, latent-vae, task-textclass, task-textpair, task-seq2seq | 2 | Correlation Coefficients and Semantic Textual Similarity | Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Hammerla | https://www.aclweb.org/anthology/N19-1100.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq | 2 | Jointly Extracting and Compressing Documents with Summary State Representations | Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen | https://www.aclweb.org/anthology/N19-1397.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-transfer, arch-lstm, arch-cnn, arch-memo, latent-vae, task-lm | 3 | Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling | Prince Zizhuang Wang, William Yang Wang | https://www.aclweb.org/anthology/N19-1025.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-gru, arch-att, latent-vae, task-seq2seq, task-lexicon | 3 | Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms | Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky, Eduard Hovy | https://www.aclweb.org/anthology/N19-1364.pdf |
| 2019 | NAA-CL | # latent-vae, latent-topic, task-textclass | 0 | Doc2hash: Learning Discrete Latent variables for Documents Retrieval | Yifei Zhang, Hao Zhu | https://www.aclweb.org/anthology/N19-1232.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 | # optim-adam, reg-dropout, pool-max, arch-cnn, arch-att, adv-train, latent-vae, task-textclass | 0 | Exploiting Noisy Data in Distant Supervision Relation Classification | Kaijia Yang, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen | https://www.aclweb.org/anthology/N19-1325.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 17 | Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Tiancheng Zhao, Kaige Xie, Maxine Eskenazi | https://www.aclweb.org/anthology/N19-1123.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-word2vec, pre-glove, pre-elmo, latent-vae, task-lm, task-seq2seq | 4 | In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data | Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki, Trevor Wood | https://www.aclweb.org/anthology/N19-2026.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, latent-vae, loss-nce, task-seq2seq | 0 | Learning to Decipher Hate Symbols | Jing Qian, Mai ElSherief, Elizabeth Belding, William Yang Wang | https://www.aclweb.org/anthology/N19-1305.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq | 2 | Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition | Angli Liu, Jingfei Du, Veselin Stoyanov | https://www.aclweb.org/anthology/N19-1117.pdf |
| 2019 | NAA-CL | # optim-sgd, arch-rnn, arch-lstm, arch-cnn, arch-att, struct-hmm, struct-crf, latent-vae | 0 | A Study of Latent Structured Prediction Approaches to Passage Reranking | Iryna Haponchyk, Alessandro Moschitti | https://www.aclweb.org/anthology/N19-1183.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-mll, arch-subword, pre-fasttext, latent-vae, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment | 5 | Density Matching for Bilingual Word Embedding | Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig | https://www.aclweb.org/anthology/N19-1161.pdf |
| 2019 | NAA-CL | # optim-adadelta, reg-decay, train-mtl, arch-rnn, arch-att, pre-word2vec, struct-crf, latent-vae, latent-topic, task-textclass, task-relation | 0 | A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification | Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song | https://www.aclweb.org/anthology/N19-1036.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, pre-word2vec, pre-glove, pre-skipthought, pre-elmo, struct-crf, adv-train, latent-vae, task-textclass, task-lm | 6 | Dialogue Act Classification with Context-Aware Self-Attention | Vipul Raheja, Joel Tetreault | https://www.aclweb.org/anthology/N19-1373.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-transformer, comb-ensemble, pre-word2vec, latent-vae, task-lm | 0 | Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models | Yiben Yang, Ji-Ping Wang, Doug Downey | https://www.aclweb.org/anthology/N19-1330.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, latent-vae, loss-svd, task-seq2seq, task-lexicon | 2 | Aligning Vector-spaces with Noisy Supervised Lexicon | Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg | https://www.aclweb.org/anthology/N19-1045.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 | # init-glorot, arch-rnn, arch-lstm, comb-ensemble, latent-vae, task-textclass, task-lm | 12 | Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing | Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin | https://www.aclweb.org/anthology/N19-1021.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-glove, struct-crf, latent-vae, task-textclass, task-lm, task-seq2seq | 2 | Strong and Simple Baselines for Multimodal Utterance Embeddings | Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency | https://www.aclweb.org/anthology/N19-1267.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-fasttext, latent-vae, task-extractive, task-seq2seq | 9 | Abstractive Summarization of Reddit Posts with Multi-level Memory Networks | Byeongchang Kim, Hyunwoo Kim, Gunhee Kim | https://www.aclweb.org/anthology/N19-1260.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-rnn, arch-lstm, pre-word2vec, latent-vae, task-lm | 1 | Unsupervised Dialog Structure Learning | Weiyan Shi, Tiancheng Zhao, Zhou Yu | https://www.aclweb.org/anthology/N19-1178.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 |