| 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 | # 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, norm-gradient, arch-lstm, arch-att, loss-nce, task-lm, task-seq2seq | 0 | Learning from Omission | Bill McDowell, Noah Goodman | https://www.aclweb.org/anthology/P19-1059.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-bert, loss-nce, task-textclass, task-textpair | 0 | Matching Article Pairs with Graphical Decomposition and Convolutions | Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu | https://www.aclweb.org/anthology/P19-1632.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 | # init-glorot, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, loss-nce | 0 | Toward Comprehensive Understanding of a Sentiment Based on Human Motives | Naoki Otani, Eduard Hovy | https://www.aclweb.org/anthology/P19-1461.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-active, arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, loss-nce, task-seqlab, task-relation | 0 | Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains | Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer, Iryna Gurevych | https://www.aclweb.org/anthology/P19-1265.pdf |
| 2019 | ACL | # optim-adam, init-glorot, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, loss-nce, task-seq2seq | 0 | Joint Effects of Context and User History for Predicting Online Conversation Re-entries | Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong | https://www.aclweb.org/anthology/P19-1270.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-att, search-beam, nondif-reinforce, loss-nce, task-seq2seq, task-tree | 0 | Unified Semantic Parsing with Weak Supervision | Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/P19-1473.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, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, struct-crf, latent-topic, loss-nce, task-textpair, task-seqlab, task-lm | 1 | Deep Neural Model Inspection and Comparison via Functional Neuron Pathways | James Fiacco, Samridhi Choudhary, Carolyn Rose | https://www.aclweb.org/anthology/P19-1575.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-coverage, loss-nce, task-textclass, task-seq2seq | 4 | CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech | Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, Marco Guerini | https://www.aclweb.org/anthology/P19-1271.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, search-viterbi, pre-glove, loss-nce, task-seq2seq, task-graph | 5 | Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue | Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba | https://www.aclweb.org/anthology/P19-1080.pdf |
| 2019 | ACL | # 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 | # optim-adam, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, struct-crf, loss-nce, task-textpair, task-seq2seq | 1 | Optimal Transport-based Alignment of Learned Character Representations for String Similarity | Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum | https://www.aclweb.org/anthology/P19-1592.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-gru, arch-att, arch-memo, arch-copy, search-greedy, loss-nce, task-seq2seq | 0 | A Working Memory Model for Task-oriented Dialog Response Generation | Xiuyi Chen, Jiaming Xu, Bo Xu | https://www.aclweb.org/anthology/P19-1258.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, struct-crf, loss-nce, task-seqlab, task-lexicon | 0 | NNE: A Dataset for Nested Named Entity Recognition in English Newswire | Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris, James R. Curran | https://www.aclweb.org/anthology/P19-1510.pdf |
| 2019 | ACL | # latent-topic, loss-nce | 1 | Automatic Evaluation of Local Topic Quality | Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan Boyd-Graber, Kevin Seppi | https://www.aclweb.org/anthology/P19-1076.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-att, arch-transformer, comb-ensemble, search-beam, loss-nce, task-seq2seq | 0 | Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study | Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1609.pdf |
| 2019 | ACL | # train-transfer, arch-coverage, pre-word2vec, adv-examp, latent-topic, loss-nce, task-textclass, task-textpair | 1 | SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference | Martin Schmitt, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1086.pdf |
| 2019 | ACL | # optim-adam, loss-nce, task-seqlab, task-relation, task-tree | 0 | Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing | Aparna Garimella, Carmen Banea, Dirk Hovy, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1339.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-bilinear, pre-bert, nondif-minrisk, nondif-reinforce, loss-nce, task-spanlab, task-lm, task-relation | 7 | Entity-Relation Extraction as Multi-Turn Question Answering | Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li | https://www.aclweb.org/anthology/P19-1129.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-gating, pre-glove, struct-crf, adv-train, loss-nce, task-textclass, task-seqlab, task-lm | 0 | Multi-Task Networks with Universe, Group, and Task Feature Learning | Shiva Pentyala, Mengwen Liu, Markus Dreyer | https://www.aclweb.org/anthology/P19-1079.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, optim-projection, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, adv-train, loss-nce, task-seqlab, task-relation | 2 | Reinforced Training Data Selection for Domain Adaptation | Miaofeng Liu, Yan Song, Hongbin Zou, Tong Zhang | https://www.aclweb.org/anthology/P19-1189.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 | # init-glorot, arch-copy, arch-coverage, loss-nce, task-seq2seq, task-relation, task-tree | 3 | Transforming Complex Sentences into a Semantic Hierarchy | Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh | https://www.aclweb.org/anthology/P19-1333.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-elmo, loss-nce, task-seqlab | 0 | Implicit Discourse Relation Identification for Open-domain Dialogues | Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, Wen Cui, Marilyn Walker | https://www.aclweb.org/anthology/P19-1065.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 | # arch-att, pre-bert, loss-nce, task-textpair, task-lm | 0 | WIQA: A dataset for “What if...” reasoning over procedural text | Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut | https://www.aclweb.org/anthology/D19-1629.pdf |
| 2019 | EMNLP | # arch-coverage, loss-nce | 0 | Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study | Bonan Min, Xiaoxi Zhao | https://www.aclweb.org/anthology/D19-1121.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-lstm, arch-subword, loss-nce, task-lm, task-seq2seq | 0 | Experimenting with Power Divergences for Language Modeling | Matthieu Labeau, Shay B. Cohen | https://www.aclweb.org/anthology/D19-1421.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, loss-nce, task-textpair, task-alignment | 0 | A Gated Self-attention Memory Network for Answer Selection | Tuan Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara | https://www.aclweb.org/anthology/D19-1610.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, activ-tanh, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-nce, task-seq2seq, task-relation | 0 | Minimally Supervised Learning of Affective Events Using Discourse Relations | Jun Saito, Yugo Murawaki, Sadao Kurohashi | https://www.aclweb.org/anthology/D19-1581.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, arch-bilinear, pre-fasttext, loss-nce, task-textclass, task-lexicon, task-alignment | 0 | Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation | Yogarshi Vyas, Marine Carpuat | https://www.aclweb.org/anthology/D19-1532.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, loss-nce, task-textclass, task-lm, task-cloze | 0 | Multi-Granularity Representations of Dialog | Shikib Mehri, Maxine Eskenazi | https://www.aclweb.org/anthology/D19-1184.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-rnn, arch-lstm, arch-att, pre-glove, struct-crf, loss-nce, task-lm, task-seq2seq | 0 | Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs | Dongyeop Kang, Eduard Hovy | https://www.aclweb.org/anthology/D19-1589.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-bert, loss-nce, task-seqlab, task-relation | 0 | KnowledgeNet: A Benchmark Dataset for Knowledge Base Population | Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza, Denilson Barbosa | https://www.aclweb.org/anthology/D19-1069.pdf |
| 2019 | EMNLP | # reg-dropout, train-mll, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-lm, task-seq2seq | 0 | Investigating the Effectiveness of BPE: The Power of Shorter Sequences | Matthias Gallé | https://www.aclweb.org/anthology/D19-1141.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-viterbi, pre-elmo, pre-bert, struct-crf, loss-nce, task-seqlab, task-lm | 0 | Effective Use of Transformer Networks for Entity Tracking | Aditya Gupta, Greg Durrett | https://www.aclweb.org/anthology/D19-1070.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-att, arch-coverage, arch-subword, arch-transformer, search-beam, loss-nce, task-seqlab, task-seq2seq, task-tree | 0 | Improving Back-Translation with Uncertainty-based Confidence Estimation | Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun | https://www.aclweb.org/anthology/D19-1073.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, loss-nce, task-textclass, task-textpair, task-lm, task-cloze | 0 | Multi-label Categorization of Accounts of Sexism using a Neural Framework | Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma | https://www.aclweb.org/anthology/D19-1174.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-gnn, arch-att, arch-coverage, loss-nce, task-seq2seq, task-tree | 1 | Global Reasoning over Database Structures for Text-to-SQL Parsing | Ben Bogin, Matt Gardner, Jonathan Berant | https://www.aclweb.org/anthology/D19-1378.pdf |
| 2019 | EMNLP | # optim-adam, train-parallel, arch-lstm, arch-att, pre-glove, pre-bert, loss-nce, task-textclass, task-seqlab, task-seq2seq | 0 | (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas | Dongyeop Kang, Varun Gangal, Eduard Hovy | https://www.aclweb.org/anthology/D19-1179.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 | # loss-nce | 0 | LIDA: Lightweight Interactive Dialogue Annotator | Edward Collins, Nikolai Rozanov, Bingbing Zhang | https://www.aclweb.org/anthology/D19-3021.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq | 0 | Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification | Oren Melamud, Mihaela Bornea, Ken Barker | https://www.aclweb.org/anthology/D19-1401.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, train-mll, train-transfer, train-augment, arch-lstm, arch-transformer, pre-fasttext, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation | 0 | A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages | Clara Vania, Yova Kementchedjhieva, Anders Søgaard, Adam Lopez | https://www.aclweb.org/anthology/D19-1102.pdf |
| 2019 | EMNLP | # arch-att, loss-nce | 0 | Fine-Grained Evaluation for Entity Linking | Henry Rosales-Méndez, Aidan Hogan, Barbara Poblete | https://www.aclweb.org/anthology/D19-1066.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-bert, loss-nce, task-textpair, task-lm | 4 | KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning | Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren | https://www.aclweb.org/anthology/D19-1282.pdf |
| 2019 | EMNLP | # arch-coverage, pre-bert, loss-nce, task-textpair, task-spanlab | 5 | Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets | Mor Geva, Yoav Goldberg, Jonathan Berant | https://www.aclweb.org/anthology/D19-1107.pdf |
| 2019 | EMNLP | # arch-cnn, arch-att, pre-fasttext, pre-glove, pre-bert, loss-nce, task-textclass | 0 | An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction | Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars | https://www.aclweb.org/anthology/D19-1131.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, pre-fasttext, struct-crf, loss-nce | 0 | FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning | Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych | https://www.aclweb.org/anthology/D19-3013.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm | 0 | Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization | Daniel Deutsch, Dan Roth | https://www.aclweb.org/anthology/D19-1386.pdf |
| 2019 | NAA-CL | # optim-adam, reg-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 | # train-mll, train-transfer, latent-topic, loss-nce, task-textclass, task-lm, task-alignment | 1 | Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling | Kathleen C. Fraser, Nicklas Linz, Bai Li, Kristina Lundholm Fors, Frank Rudzicz, Alexandra König, Jan Alexandersson, Philippe Robert, Dimitrios Kokkinakis | https://www.aclweb.org/anthology/N19-1367.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-adam, reg-dropout, reg-norm, arch-rnn, arch-gru, arch-att, search-beam, loss-nce, task-textclass, task-seq2seq | 3 | Adapting RNN Sequence Prediction Model to Multi-label Set Prediction | Kechen Qin, Cheng Li, Virgil Pavlu, Javed Aslam | https://www.aclweb.org/anthology/N19-1321.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-memo, pre-glove, loss-nce, task-spanlab, task-lm, task-seq2seq | 0 | Harry Potter and the Action Prediction Challenge from Natural Language | David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/N19-1218.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-bilstm, arch-coverage, loss-nce | 2 | A Crowdsourced Frame Disambiguation Corpus with Ambiguity | Anca Dumitrache, Lora Aroyo, Chris Welty | https://www.aclweb.org/anthology/N19-1224.pdf |
| 2019 | NAA-CL | # arch-att, search-beam, loss-nce, task-lm, task-seq2seq | 0 | How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation | Zhiwei Yu, Xiaojun Wan | https://www.aclweb.org/anthology/N19-1092.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation, task-lexicon | 12 | Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing | Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson | https://www.aclweb.org/anthology/N19-1162.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-nce, task-seqlab, task-seq2seq | 24 | Massively Multilingual Neural Machine Translation | Roee Aharoni, Melvin Johnson, Orhan Firat | https://www.aclweb.org/anthology/N19-1388.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-att, latent-topic, loss-nce, task-extractive, task-seq2seq | 0 | News Article Teaser Tweets and How to Generate Them | Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1398.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 |