| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, train-mll, arch-cnn, arch-att, arch-transformer, pre-skipthought, pre-bert, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | Sentence Centrality Revisited for Unsupervised Summarization | Hao Zheng, Mirella Lapata | https://www.aclweb.org/anthology/P19-1628.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, pool-max, arch-lstm, arch-coverage, arch-subword, pre-fasttext, loss-cca, loss-svd, task-textpair, task-lm, task-seq2seq, task-lexicon | 29 | How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions | Goran Glavaš, Robert Litschko, Sebastian Ruder, Ivan Vulić | https://www.aclweb.org/anthology/P19-1070.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-labelsmooth, norm-batch, train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq | 1 | Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation | Elizabeth Salesky, Matthias Sperber, Alan W Black | https://www.aclweb.org/anthology/P19-1179.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-rnn, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert | 0 | Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings | Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1574.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, optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-fasttext, pre-bert, struct-crf, task-relation | 0 | Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections | Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig | https://www.aclweb.org/anthology/P19-1311.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, train-mll, arch-coverage, arch-subword, task-seq2seq | 0 | CogNet: A Large-Scale Cognate Database | Khuyagbaatar Batsuren, Gabor Bella, Fausto Giunchiglia | https://www.aclweb.org/anthology/P19-1302.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, arch-coverage, arch-subword, pre-fasttext, task-seq2seq | 0 | On the Distribution of Deep Clausal Embeddings: A Large Cross-linguistic Study | Damian Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel, Marco Baroni | https://www.aclweb.org/anthology/P19-1384.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-bilinear, comb-ensemble, struct-crf, struct-cfg, task-seqlab, task-relation | 2 | Sequence Labeling Parsing by Learning across Representations | Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/P19-1531.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, pre-bert, task-seqlab, task-lm, task-relation | 18 | How Multilingual is Multilingual BERT? | Telmo Pires, Eva Schlinger, Dan Garrette | https://www.aclweb.org/anthology/P19-1493.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-spanlab, task-lm, task-seq2seq | 4 | Cross-Lingual Training for Automatic Question Generation | Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi | https://www.aclweb.org/anthology/P19-1481.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-coverage, pre-glove, pre-skipthought, pre-elmo, pre-bert, adv-train, task-textpair, task-lm, task-cloze, task-relation | 2 | DisSent: Learning Sentence Representations from Explicit Discourse Relations | Allen Nie, Erin Bennett, Noah Goodman | https://www.aclweb.org/anthology/P19-1442.pdf |
| 2019 | ACL | # train-mll, train-parallel, arch-rnn, arch-att, arch-subword, pre-fasttext, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 1 | Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation | Viktor Hangya, Alexander Fraser | https://www.aclweb.org/anthology/P19-1118.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 | # norm-layer, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, task-textclass, task-spanlab, task-lm, task-seq2seq | 5 | Large-Scale Transfer Learning for Natural Language Generation | Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf | https://www.aclweb.org/anthology/P19-1608.pdf |
| 2019 | ACL | # optim-adam, optim-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-projection, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, comb-ensemble, pre-fasttext, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 3 | Massively Multilingual Transfer for NER | Afshin Rahimi, Yuan Li, Trevor Cohn | https://www.aclweb.org/anthology/P19-1015.pdf |
| 2019 | ACL | # optim-sgd, train-mll, train-transfer, arch-lstm, search-viterbi, pre-fasttext, nondif-reinforce, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction | Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun | https://www.aclweb.org/anthology/P19-1308.pdf |
| 2019 | ACL | # optim-sgd, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-seqlab, task-seq2seq | 0 | End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories | Rui Mao, Chenghua Lin, Frank Guerin | https://www.aclweb.org/anthology/P19-1378.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-elmo, task-lm, task-seq2seq | 2 | Multilingual and Cross-Lingual Graded Lexical Entailment | Ivan Vulić, Simone Paolo Ponzetto, Goran Glavaš | https://www.aclweb.org/anthology/P19-1490.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 | # train-mll, task-relation, task-tree | 0 | Uncovering Probabilistic Implications in Typological Knowledge Bases | Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein | https://www.aclweb.org/anthology/P19-1382.pdf |
| 2019 | ACL | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, adv-train, task-seq2seq | 0 | Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation | Francine Chen, Yan-Ying Chen | https://www.aclweb.org/anthology/P19-1211.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 | # train-mll, arch-lstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, loss-svd | 1 | Relational Word Embeddings | Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert | https://www.aclweb.org/anthology/P19-1318.pdf |
| 2019 | ACL | # train-mll, arch-rnn, arch-att, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq | 5 | Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention | Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo | https://www.aclweb.org/anthology/P19-1305.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-coverage, arch-subword, pre-glove, loss-svd, loss-margin, task-textpair | 1 | Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment | Goran Glavaš, Ivan Vulić | https://www.aclweb.org/anthology/P19-1476.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, train-transfer, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-relation, task-lexicon | 1 | Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation | Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1119.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, pre-glove, struct-crf, task-seqlab | 3 | Joint Entity Extraction and Assertion Detection for Clinical Text | Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia | https://www.aclweb.org/anthology/P19-1091.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-treelstm, arch-att, pre-word2vec, pre-elmo, pre-bert, task-textpair, task-seq2seq, task-alignment | 0 | Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation | Nitika Mathur, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1269.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, train-mll, pool-mean, arch-gnn, arch-att, arch-selfatt, arch-subword, loss-triplet | 7 | Multi-Channel Graph Neural Network for Entity Alignment | Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/P19-1140.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, train-active, arch-cnn, arch-att, search-viterbi, struct-crf, task-textclass, task-seqlab | 0 | Learning How to Active Learn by Dreaming | Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari | https://www.aclweb.org/anthology/P19-1401.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, arch-subword, pre-elmo, task-textpair, task-lm, task-seq2seq | 0 | Towards Language Agnostic Universal Representations | Armen Aghajanyan, Xia Song, Saurabh Tiwary | https://www.aclweb.org/anthology/P19-1395.pdf |
| 2019 | ACL | # optim-projection, reg-dropout, train-mll, arch-rnn, arch-att, comb-ensemble, struct-hmm, task-seq2seq, task-relation, task-tree | 0 | Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages | Garrett Nicolai, David Yarowsky | https://www.aclweb.org/anthology/P19-1172.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass, task-lm | 9 | Multilingual Constituency Parsing with Self-Attention and Pre-Training | Nikita Kitaev, Steven Cao, Dan Klein | https://www.aclweb.org/anthology/P19-1340.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, reg-patience, train-mll, arch-lstm, arch-subword, task-lm, task-seq2seq, task-relation | 0 | Better Character Language Modeling through Morphology | Terra Blevins, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1156.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-cnn, task-seq2seq | 4 | Evaluating Gender Bias in Machine Translation | Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1164.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-patience, train-mll, arch-rnn, arch-lstm | 1 | Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning | Nicole Mirea, Klinton Bicknell | https://www.aclweb.org/anthology/P19-1155.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-coverage, arch-subword, task-lm | 3 | Meaning to Form: Measuring Systematicity as Information | Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell | https://www.aclweb.org/anthology/P19-1171.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-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq, task-relation, task-lexicon, task-alignment | 6 | JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages | Željko Agić, Ivan Vulić | https://www.aclweb.org/anthology/P19-1310.pdf |
| 2019 | ACL | # train-mll, arch-att, pre-word2vec, task-lexicon, task-alignment | 6 | Analyzing the Limitations of Cross-lingual Word Embedding Mappings | Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa, Eneko Agirre | https://www.aclweb.org/anthology/P19-1492.pdf |
| 2019 | ACL | # optim-adadelta, train-mll, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, comb-ensemble, pre-word2vec, pre-elmo, adv-train, task-lm, task-seq2seq | 0 | Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning | Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/P19-1429.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-att, task-textclass, task-seqlab | 0 | You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification | Angelo Basile, Albert Gatt, Malvina Nissim | https://www.aclweb.org/anthology/P19-1246.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-subword, pre-fasttext, pre-glove, task-lexicon | 4 | Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization | Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka, Jordan Boyd-Graber | https://www.aclweb.org/anthology/P19-1307.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-memo, pre-glove, latent-topic, task-lm, task-alignment | 1 | Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting | Jeanne E. Daniel, Willie Brink, Ryan Eloff, Charles Copley | https://www.aclweb.org/anthology/P19-1090.pdf |
| 2019 | ACL | # reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq | 1 | Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks | Ahmad Aghaebrahimian, Mark Cieliebak | https://www.aclweb.org/anthology/P19-1557.pdf |
| 2019 | ACL | # optim-adadelta, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gating, search-beam, search-viterbi, pre-elmo | 0 | Improving Open Information Extraction via Iterative Rank-Aware Learning | Zhengbao Jiang, Pengcheng Yin, Graham Neubig | https://www.aclweb.org/anthology/P19-1523.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-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-seq2seq | 4 | Assessing the Ability of Self-Attention Networks to Learn Word Order | Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu | https://www.aclweb.org/anthology/P19-1354.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 | # train-mll, pool-max, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, task-textpair, task-extractive, task-seq2seq | 3 | Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu | https://www.aclweb.org/anthology/P19-1098.pdf |
| 2019 | ACL | # optim-adam, 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 | # init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq | 5 | Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations | Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O.K. Li | https://www.aclweb.org/anthology/P19-1121.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, search-beam, loss-margin, task-seq2seq | 4 | Neural Relation Extraction for Knowledge Base Enrichment | Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang | https://www.aclweb.org/anthology/P19-1023.pdf |
| 2019 | ACL | # train-mll, arch-coverage, task-seq2seq | 0 | Crowdsourcing and Validating Event-focused Emotion Corpora for German and English | Enrica Troiano, Sebastian Padó, Roman Klinger | https://www.aclweb.org/anthology/P19-1391.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-mtl, train-mll, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, search-beam, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm | 3 | GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling | Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1233.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-gru, arch-att, pre-fasttext, adv-train, task-seq2seq, task-lexicon | 0 | Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders | Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1297.pdf |
| 2019 | ACL | # optim-adam, train-mll | 2 | An Automated Framework for Fast Cognate Detection and Bayesian Phylogenetic Inference in Computational Historical Linguistics | Taraka Rama, Johann-Mattis List | https://www.aclweb.org/anthology/P19-1627.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, pool-mean, arch-lstm, arch-att, arch-subword, pre-fasttext, task-tree | 6 | Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network | Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu | https://www.aclweb.org/anthology/P19-1304.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 | # 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, train-mll, arch-lstm, arch-att, arch-subword, search-greedy, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment | 1 | Unsupervised Pivot Translation for Distant Languages | Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu | https://www.aclweb.org/anthology/P19-1017.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-margin, task-lm, task-seq2seq | 0 | Self-Supervised Neural Machine Translation | Dana Ruiter, Cristina España-Bonet, Josef van Genabith | https://www.aclweb.org/anthology/P19-1178.pdf |
| 2019 | ACL | # optim-sgd, reg-norm, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, search-viterbi, pre-glove, pre-elmo, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq | 0 | Cross-Domain NER using Cross-Domain Language Modeling | Chen Jia, Xiaobo Liang, Yue Zhang | https://www.aclweb.org/anthology/P19-1236.pdf |
| 2019 | ACL | # train-mll, arch-att, arch-subword, search-beam, pre-fasttext, task-lm, task-seq2seq | 0 | Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation | Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May | https://www.aclweb.org/anthology/P19-1293.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 | # train-mll, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon, task-alignment | 3 | Bilingual Lexicon Induction through Unsupervised Machine Translation | Mikel Artetxe, Gorka Labaka, Eneko Agirre | https://www.aclweb.org/anthology/P19-1494.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, arch-gru, arch-att, arch-memo, arch-transformer, pre-glove, pre-bert, task-spanlab, task-lm, task-seq2seq, task-alignment | 3 | XQA: A Cross-lingual Open-domain Question Answering Dataset | Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1227.pdf |
| 2019 | ACL | # train-mll, train-transfer, pool-max, pool-mean, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, task-textclass, task-seq2seq | 4 | Exploiting Sentential Context for Neural Machine Translation | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi | https://www.aclweb.org/anthology/P19-1624.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-seqlab | 2 | Robust Representation Learning of Biomedical Names | Minh C. Phan, Aixin Sun, Yi Tay | https://www.aclweb.org/anthology/P19-1317.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-att | 0 | Morphological Irregularity Correlates with Frequency | Shijie Wu, Ryan Cotterell, Timothy O’Donnell | https://www.aclweb.org/anthology/P19-1505.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, reg-dropout, train-mll, train-transfer, pool-max, pool-kmax, arch-lstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-fasttext, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations | Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, William Hu, Neha Verma, Dragomir Radev | https://www.aclweb.org/anthology/P19-1306.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-subword, task-lm, task-seq2seq | 2 | Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation | Xinyi Wang, Graham Neubig | https://www.aclweb.org/anthology/P19-1583.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-sgd, optim-projection, reg-dropout, reg-stopping, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, pre-bert, task-textclass, task-spanlab, task-lm, task-tree | 5 | Training Neural Response Selection for Task-Oriented Dialogue Systems | Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su | https://www.aclweb.org/anthology/P19-1536.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-lstm, arch-coverage, pre-word2vec, task-seq2seq | 3 | Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning | Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych | https://www.aclweb.org/anthology/P19-1572.pdf |
| 2019 | ACL | # train-mll, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | Unsupervised Joint Training of Bilingual Word Embeddings | Benjamin Marie, Atsushi Fujita | https://www.aclweb.org/anthology/P19-1312.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, train-mll, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, adv-train | 2 | Adversarial Attention Modeling for Multi-dimensional Emotion Regression | Suyang Zhu, Shoushan Li, Guodong Zhou | https://www.aclweb.org/anthology/P19-1045.pdf |
| 2019 | ACL | # optim-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-coverage, arch-subword, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction | Mengjie Zhao, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1341.pdf |
| 2019 | ACL | # reg-dropout, train-mll, arch-lstm, arch-att, task-seq2seq | 1 | Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table | Matthew Shardlow, Raheel Nawaz | https://www.aclweb.org/anthology/P19-1037.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-relation | 3 | Reliability-aware Dynamic Feature Composition for Name Tagging | Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han | https://www.aclweb.org/anthology/P19-1016.pdf |
| 2019 | ACL | # train-mll, task-seqlab, task-graph | 0 | Is Word Segmentation Child’s Play in All Languages? | Georgia R. Loukatou, Steven Moran, Damian Blasi, Sabine Stoll, Alejandrina Cristia | https://www.aclweb.org/anthology/P19-1383.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-att, task-textpair, task-spanlab, task-seq2seq | 0 | HEAD-QA: A Healthcare Dataset for Complex Reasoning | David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/P19-1092.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, reg-labelsmooth, train-mll, train-transfer, arch-att, arch-selfatt, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze | 1 | A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning | Gonçalo M. Correia, André F. T. Martins | https://www.aclweb.org/anthology/P19-1292.pdf |
| 2019 | ACL | # reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, task-seq2seq, task-lexicon | 1 | Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering | Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen | https://www.aclweb.org/anthology/P19-1616.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon | 5 | Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies | Yunsu Kim, Yingbo Gao, Hermann Ney | https://www.aclweb.org/anthology/P19-1120.pdf |
| 2019 | ACL | # optim-projection, train-mll, train-transfer, arch-coverage, arch-subword, struct-crf, adv-train, latent-topic, task-textclass, task-lexicon | 1 | A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity | Yoshinari Fujinuma, Jordan Boyd-Graber, Michael J. Paul | https://www.aclweb.org/anthology/P19-1489.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-bilstm, arch-coverage, latent-topic, task-textclass, task-lexicon | 3 | Just “OneSeC” for Producing Multilingual Sense-Annotated Data | Bianca Scarlini, Tommaso Pasini, Roberto Navigli | https://www.aclweb.org/anthology/P19-1069.pdf |
| 2019 | ACL | # optim-adam, optim-projection, norm-layer, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-seq2seq | 9 | Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention | Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang | https://www.aclweb.org/anthology/P19-1360.pdf |
| 2019 | ACL | # optim-adam, train-mll, pre-word2vec, latent-topic, loss-svd, task-lm | 0 | A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains | Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde | https://www.aclweb.org/anthology/P19-1072.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, train-mtl, train-mll, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq | 2 | A Multi-Task Architecture on Relevance-based Neural Query Translation | Sheikh Muhammad Sarwar, Hamed Bonab, James Allan | https://www.aclweb.org/anthology/P19-1639.pdf |
| 2019 | ACL | # train-mll, pre-fasttext, task-seq2seq, task-lexicon | 1 | Hubless Nearest Neighbor Search for Bilingual Lexicon Induction | Jiaji Huang, Qiang Qiu, Kenneth Church | https://www.aclweb.org/anthology/P19-1399.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, loss-margin, task-seqlab, task-seq2seq | 15 | Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings | Mikel Artetxe, Holger Schwenk | https://www.aclweb.org/anthology/P19-1309.pdf |
| 2019 | ACL | # optim-sgd, train-mll, arch-lstm, arch-recnn, arch-att, pre-glove, task-lm | 3 | Modeling Semantic Compositionality with Sememe Knowledge | Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1571.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 1 | Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation | Benjamin Heinzerling, Michael Strube | https://www.aclweb.org/anthology/P19-1027.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-norm, reg-labelsmooth, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-seqlab, task-seq2seq, task-relation | 3 | Leveraging Local and Global Patterns for Self-Attention Networks | Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao | https://www.aclweb.org/anthology/P19-1295.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, struct-crf, task-seq2seq, task-tree | 2 | Robust Zero-Shot Cross-Domain Slot Filling with Example Values | Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur | https://www.aclweb.org/anthology/P19-1547.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, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, struct-crf, adv-train, task-seqlab, task-lm | 2 | Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling | Nasser Zalmout, Nizar Habash | https://www.aclweb.org/anthology/P19-1173.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, task-seqlab, task-lm, task-seq2seq, task-relation | 1 | What Kind of Language Is Hard to Language-Model? | Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark, Jason Eisner | https://www.aclweb.org/anthology/P19-1491.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-lm | 0 | Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text | Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, Marius Kloft | https://www.aclweb.org/anthology/P19-1398.pdf |
| 2019 | ACL | # reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-subword, nondif-minrisk, loss-margin, task-textpair, task-seq2seq | 4 | Beyond BLEU:Training Neural Machine Translation with Semantic Similarity | John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig | https://www.aclweb.org/anthology/P19-1427.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 5 | Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition | Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok | https://www.aclweb.org/anthology/P19-1336.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-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze | 27 | ERNIE: Enhanced Language Representation with Informative Entities | Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu | https://www.aclweb.org/anthology/P19-1139.pdf |
| 2019 | ACL | # train-mll, pre-glove, task-seqlab, task-seq2seq | 1 | Collocation Classification with Unsupervised Relation Vectors | Luis Espinosa Anke, Steven Schockaert, Leo Wanner | https://www.aclweb.org/anthology/P19-1576.pdf |
| 2019 | ACL | # train-mll, arch-subword, comb-ensemble, adv-train, task-lm, task-seq2seq, task-alignment | 8 | An Effective Approach to Unsupervised Machine Translation | Mikel Artetxe, Gorka Labaka, Eneko Agirre | https://www.aclweb.org/anthology/P19-1019.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, loss-svd, task-seqlab, task-lm, task-seq2seq, task-lexicon | 1 | Generalized Data Augmentation for Low-Resource Translation | Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/P19-1579.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, search-viterbi, pre-elmo, task-seqlab, task-lm, task-relation, task-tree | 1 | Semi-supervised Domain Adaptation for Dependency Parsing | Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si | https://www.aclweb.org/anthology/P19-1229.pdf |
| 2019 | ACL | # optim-projection, train-mll, pre-word2vec | 0 | Annotation and Automatic Classification of Aspectual Categories | Markus Egg, Helena Prepens, Will Roberts | https://www.aclweb.org/anthology/P19-1323.pdf |
| 2019 | ACL | # optim-adam, reg-norm, train-mtl, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-lm | 0 | EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition | Subhradeep Kayal, George Tsatsaronis | https://www.aclweb.org/anthology/P19-1445.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-rnn, comb-ensemble, pre-word2vec, pre-glove, task-seq2seq | 0 | Course Concept Expansion in MOOCs with External Knowledge and Interactive Game | Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu, Jie Tang | https://www.aclweb.org/anthology/P19-1421.pdf |
| 2019 | ACL | # train-mll, arch-subword, pre-word2vec, pre-fasttext, adv-train, task-seq2seq, task-lexicon, task-alignment | 5 | Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces | Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig | https://www.aclweb.org/anthology/P19-1018.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, reg-patience, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-gating, search-viterbi, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq | 1 | Sentiment Tagging with Partial Labels using Modular Architectures | Xiao Zhang, Dan Goldwasser | https://www.aclweb.org/anthology/P19-1055.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-subword, pre-word2vec, pre-elmo, adv-train, loss-svd, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment | 1 | Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models | Takashi Wada, Tomoharu Iwata, Yuji Matsumoto | https://www.aclweb.org/anthology/P19-1300.pdf |
| 2019 | ACL | # optim-projection, train-mll, train-transfer, train-augment, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-subword, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation | 4 | Choosing Transfer Languages for Cross-Lingual Learning | Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig | https://www.aclweb.org/anthology/P19-1301.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-lstm, arch-cnn, arch-coverage, arch-subword, pre-fasttext, task-seq2seq | 0 | SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings | Chengyu Wang, Xiaofeng He, Aoying Zhou | https://www.aclweb.org/anthology/P19-1169.pdf |
| 2019 | ACL | # train-mll, arch-lstm, arch-att, arch-coverage, struct-crf, adv-train, task-seq2seq, task-alignment | 0 | Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text | Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1343.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, train-parallel, arch-gru, arch-subword, adv-train, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Better OOV Translation with Bilingual Terminology Mining | Matthias Huck, Viktor Hangya, Alexander Fraser | https://www.aclweb.org/anthology/P19-1581.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq | 6 | When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/P19-1116.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment | 3 | Multi-Source Cross-Lingual Model Transfer: Learning What to Share | Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie | https://www.aclweb.org/anthology/P19-1299.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 | # optim-adam, train-mll, train-transfer, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-spanlab | 6 | A Span-Extraction Dataset for Chinese Machine Reading Comprehension | Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu | https://www.aclweb.org/anthology/D19-1600.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, reg-dropout, reg-stopping, norm-layer, train-mll, train-transfer, train-parallel, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq | 1 | Simple, Scalable Adaptation for Neural Machine Translation | Ankur Bapna, Orhan Firat | https://www.aclweb.org/anthology/D19-1165.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq | 1 | NCLS: Neural Cross-Lingual Summarization | Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong | https://www.aclweb.org/anthology/D19-1302.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, task-textclass | 0 | Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning | Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang | https://www.aclweb.org/anthology/D19-1019.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, arch-transformer, struct-crf, task-seqlab | 1 | Low-Resource Name Tagging Learned with Weakly Labeled Data | Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu, Heng Ji | https://www.aclweb.org/anthology/D19-1025.pdf |
| 2019 | EMNLP | # optim-adam, reg-norm, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, pre-fasttext, pre-glove, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Cross-Cultural Transfer Learning for Text Classification | Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky | https://www.aclweb.org/anthology/D19-1400.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment | 0 | Explicit Cross-lingual Pre-training for Unsupervised Machine Translation | Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma | https://www.aclweb.org/anthology/D19-1071.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 | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-subword, task-lm, task-seq2seq | 0 | Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja | Kang Min Yoo, Taeuk Kim, Sang-goo Lee | https://www.aclweb.org/anthology/D19-1358.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, pool-max, arch-subword, search-beam, loss-svd, task-lm, task-seq2seq | 1 | Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages | Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney | https://www.aclweb.org/anthology/D19-1080.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-bert, loss-svd, task-lm | 0 | SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval | Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, Goran Glavaš | https://www.aclweb.org/anthology/D19-3034.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, struct-crf, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Entity Projection via Machine Translation for Cross-Lingual NER | Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton | https://www.aclweb.org/anthology/D19-1100.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, arch-rnn, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-svd, task-lm, task-seq2seq, task-relation, task-alignment | 3 | Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing | Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu | https://www.aclweb.org/anthology/D19-1575.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-coverage, arch-subword, task-lm, task-lexicon | 1 | Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction | Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard | https://www.aclweb.org/anthology/D19-1328.pdf |
| 2019 | EMNLP | # train-mll, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon | 1 | Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings | Haozhou Wang, James Henderson, Paola Merlo | https://www.aclweb.org/anthology/D19-1450.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, pre-bert, adv-train, latent-topic, task-lexicon | 1 | Contrastive Language Adaptation for Cross-Lingual Stance Detection | Mitra Mohtarami, James Glass, Preslav Nakov | https://www.aclweb.org/anthology/D19-1452.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-layer, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, search-beam, struct-crf, task-lm, task-seq2seq | 0 | Efficient Convolutional Neural Networks for Diacritic Restoration | Sawsan Alqahtani, Ajay Mishra, Mona Diab | https://www.aclweb.org/anthology/D19-1151.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-augment, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree | 0 | Do NLP Models Know Numbers? Probing Numeracy in Embeddings | Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner | https://www.aclweb.org/anthology/D19-1534.pdf |
| 2019 | EMNLP | # 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, reg-decay, norm-layer, train-mll, pool-mean, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm, task-seq2seq | 0 | Cross-Lingual Machine Reading Comprehension | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu | https://www.aclweb.org/anthology/D19-1169.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation | 0 | Hierarchically-Refined Label Attention Network for Sequence Labeling | Leyang Cui, Yue Zhang | https://www.aclweb.org/anthology/D19-1422.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, pre-elmo, pre-bert, task-textpair, task-lm, task-seq2seq, task-cloze, task-alignment | 4 | Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks | Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou | https://www.aclweb.org/anthology/D19-1252.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, pool-mean, arch-att, arch-transformer, pre-fasttext, pre-bert, loss-cca, task-spanlab, task-lm, task-seq2seq, task-lexicon | 0 | Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model | Tsung-Yuan Hsu, Chi-Liang Liu, Hung-yi Lee | https://www.aclweb.org/anthology/D19-1607.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, reg-stopping, train-mtl, train-mll, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-lm, task-seq2seq | 0 | One Model to Learn Both: Zero Pronoun Prediction and Translation | Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi | https://www.aclweb.org/anthology/D19-1085.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-subword, struct-crf, task-seq2seq | 0 | Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity | Penghui Wei, Nan Xu, Wenji Mao | https://www.aclweb.org/anthology/D19-1485.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze, task-relation | 22 | Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT | Shijie Wu, Mark Dredze | https://www.aclweb.org/anthology/D19-1077.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-elmo, struct-crf, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semi-Supervised Semantic Role Labeling with Cross-View Training | Rui Cai, Mirella Lapata | https://www.aclweb.org/anthology/D19-1094.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-coverage, arch-subword, arch-transformer, search-greedy, search-beam, latent-topic, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Machine Translation With Weakly Paired Documents | Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1446.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, comb-ensemble, search-beam, adv-train, task-seqlab, task-seq2seq, task-graph | 0 | Iterative Dual Domain Adaptation for Neural Machine Translation | Jiali Zeng, Yang Liu, Jinsong Su, Yubing Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo | https://www.aclweb.org/anthology/D19-1078.pdf |
| 2019 | EMNLP | # train-mll, arch-att, arch-coverage, task-seq2seq | 0 | Vecalign: Improved Sentence Alignment in Linear Time and Space | Brian Thompson, Philipp Koehn | https://www.aclweb.org/anthology/D19-1136.pdf |
| 2019 | EMNLP | # reg-dropout, reg-labelsmooth, train-mtl, train-mll, train-augment, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, search-greedy, search-beam, pre-glove, pre-bert, task-seq2seq, task-relation, task-tree, task-graph | 2 | Broad-Coverage Semantic Parsing as Transduction | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme | https://www.aclweb.org/anthology/D19-1392.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-active, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq, task-alignment | 0 | Learning to Copy for Automatic Post-Editing | Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun | https://www.aclweb.org/anthology/D19-1634.pdf |
| 2019 | EMNLP | # train-mll, arch-subword, search-viterbi | 0 | Modeling Color Terminology Across Thousands of Languages | Arya D. McCarthy, Winston Wu, Aaron Mueller, William Watson, David Yarowsky | https://www.aclweb.org/anthology/D19-1229.pdf |
| 2019 | EMNLP | # train-mll, arch-att, search-greedy, pre-word2vec, pre-fasttext, pre-glove, task-textclass, task-lm, task-seq2seq | 2 | On Efficient Retrieval of Top Similarity Vectors | Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li | https://www.aclweb.org/anthology/D19-1527.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-bilinear, arch-coverage, task-lm, task-relation | 0 | Towards Zero-shot Language Modeling | Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1288.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-lstm, arch-bilstm, pre-fasttext, task-seqlab, task-seq2seq | 1 | Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels | Lukas Lange, Michael A. Hedderich, Dietrich Klakow | https://www.aclweb.org/anthology/D19-1362.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, arch-cnn, arch-att, arch-gating, arch-coverage, arch-transformer, pre-bert, loss-margin, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Aligning Cross-Lingual Entities with Multi-Aspect Information | Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun | https://www.aclweb.org/anthology/D19-1451.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, struct-cfg | 0 | Constraint-based Learning of Phonological Processes | Shraddha Barke, Rose Kunkel, Nadia Polikarpova, Eric Meinhardt, Eric Bakovic, Leon Bergen | https://www.aclweb.org/anthology/D19-1639.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, norm-layer, train-mtl, train-mll, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, loss-svd, task-textpair, task-seq2seq | 0 | Parameter-free Sentence Embedding via Orthogonal Basis | Ziyi Yang, Chenguang Zhu, Weizhu Chen | https://www.aclweb.org/anthology/D19-1059.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-mll, arch-att, arch-coverage, arch-transformer, search-beam, task-seq2seq | 0 | INMT: Interactive Neural Machine Translation Prediction | Sebastin Santy, Sandipan Dandapat, Monojit Choudhury, Kalika Bali | https://www.aclweb.org/anthology/D19-3018.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq, task-tree | 0 | Towards Understanding Neural Machine Translation with Word Importance | Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu, Shuming Shi | https://www.aclweb.org/anthology/D19-1088.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, train-mll, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, adv-train, task-spanlab, task-lm, task-seq2seq | 2 | Adversarial Domain Adaptation for Machine Reading Comprehension | Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang | https://www.aclweb.org/anthology/D19-1254.pdf |
| 2019 | EMNLP | # optim-projection, init-glorot, train-mll, arch-gnn, arch-att, arch-selfatt, arch-coverage, loss-margin | 0 | Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model | Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/D19-1274.pdf |
| 2019 | EMNLP | # optim-sgd, init-glorot, train-mll, train-augment, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-relation | 0 | Surface Realisation Using Full Delexicalisation | Anastasia Shimorina, Claire Gardent | https://www.aclweb.org/anthology/D19-1305.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-bert, loss-cca, task-seq2seq | 0 | Dialog Intent Induction with Deep Multi-View Clustering | Hugh Perkins, Yi Yang | https://www.aclweb.org/anthology/D19-1413.pdf |
| 2019 | EMNLP | # train-mll, arch-subword, pre-fasttext, adv-train, task-lexicon | 0 | Multilingual word translation using auxiliary languages | Hagai Taitelbaum, Gal Chechik, Jacob Goldberger | https://www.aclweb.org/anthology/D19-1134.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-bert, latent-topic, task-textclass, task-textpair | 0 | Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach | Wenpeng Yin, Jamaal Hay, Dan Roth | https://www.aclweb.org/anthology/D19-1404.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, train-transfer, arch-cnn, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq, task-relation | 0 | Cross-lingual intent classification in a low resource industrial setting | Talaat Khalil, Kornel Kiełczewski, Georgios Christos Chouliaras, Amina Keldibek, Maarten Versteegh | https://www.aclweb.org/anthology/D19-1676.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment | 0 | Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping | Jian Ni, Radu Florian | https://www.aclweb.org/anthology/D19-1038.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Learning with Limited Data for Multilingual Reading Comprehension | Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee | https://www.aclweb.org/anthology/D19-1283.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, struct-crf, task-relation, task-alignment | 0 | A Regularization-based Framework for Bilingual Grammar Induction | Yong Jiang, Wenjuan Han, Kewei Tu | https://www.aclweb.org/anthology/D19-1148.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, struct-crf, loss-triplet, task-seqlab, task-lm, task-seq2seq, task-context | 14 | Cloze-driven Pretraining of Self-attention Networks | Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli | https://www.aclweb.org/anthology/D19-1539.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq | 2 | Knowledge Enhanced Contextual Word Representations | Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith | https://www.aclweb.org/anthology/D19-1005.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, task-seq2seq | 1 | Controlling Text Complexity in Neural Machine Translation | Sweta Agrawal, Marine Carpuat | https://www.aclweb.org/anthology/D19-1166.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-transfer, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, meta-init | 0 | Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks | Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos | https://www.aclweb.org/anthology/D19-1112.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, reg-dropout, reg-decay, train-mll, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 1 | The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English | Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary, Marc’Aurelio Ranzato | https://www.aclweb.org/anthology/D19-1632.pdf |
| 2019 | EMNLP | # train-mll, arch-coverage, arch-subword, task-lexicon, task-alignment | 0 | Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction | Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann Copestake | https://www.aclweb.org/anthology/D19-1090.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-cnn, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 1 | EntEval: A Holistic Evaluation Benchmark for Entity Representations | Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1040.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-norm, train-mll, arch-att, arch-coverage, loss-margin, task-seq2seq | 0 | Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment | Xiaofei Shi, Yanghua Xiao | https://www.aclweb.org/anthology/D19-1075.pdf |
| 2019 | EMNLP | # reg-dropout, train-mll, arch-subword, task-seq2seq | 0 | The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval | Constantine Lignos, Daniel Cohen, Yen-Chieh Lien, Pratik Mehta, W. Bruce Croft, Scott Miller | https://www.aclweb.org/anthology/D19-1353.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, task-textclass | 1 | Perturbation Sensitivity Analysis to Detect Unintended Model Biases | Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell | https://www.aclweb.org/anthology/D19-1578.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 | # train-mll, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-elmo, pre-bert, task-seq2seq | 2 | Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite | Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova, Preslav Nakov | https://www.aclweb.org/anthology/D19-1294.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment | 0 | Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling | Angel Daza, Anette Frank | https://www.aclweb.org/anthology/D19-1056.pdf |
| 2019 | EMNLP | # optim-adam, 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, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq | 0 | Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer | Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao | https://www.aclweb.org/anthology/D19-1365.pdf |
| 2019 | EMNLP | # optim-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, task-lm, task-seq2seq, task-relation, task-lexicon | 0 | Multilingual and Multi-Aspect Hate Speech Analysis | Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung | https://www.aclweb.org/anthology/D19-1474.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-glove, adv-train, latent-topic, task-textclass, task-seq2seq | 0 | Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis | Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li | https://www.aclweb.org/anthology/D19-1478.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, latent-topic | 0 | A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability | Weiwei Yang, Jordan Boyd-Graber, Philip Resnik | https://www.aclweb.org/anthology/D19-1120.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, pre-bert, loss-cca, loss-svd, task-lm, task-seq2seq | 4 | Investigating Multilingual NMT Representations at Scale | Sneha Kudugunta, Ankur Bapna, Isaac Caswell, Orhan Firat | https://www.aclweb.org/anthology/D19-1167.pdf |
| 2019 | EMNLP | # reg-dropout, reg-decay, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq | 2 | MultiFiT: Efficient Multi-lingual Language Model Fine-tuning | Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger, Jeremy Howard | https://www.aclweb.org/anthology/D19-1572.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, search-beam, pre-bert, task-lm, task-seq2seq, task-relation | 0 | Text Genre and Training Data Size in Human-like Parsing | John Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan | https://www.aclweb.org/anthology/D19-1594.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 | # optim-adam, reg-stopping, reg-patience, reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-coverage, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seqlab, task-seq2seq | 0 | Deep Copycat Networks for Text-to-Text Generation | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/D19-1318.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-subword, pre-fasttext, task-lm, task-seq2seq, task-lexicon | 1 | Examining Gender Bias in Languages with Grammatical Gender | Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1531.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 0 | Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations | Zuyi Bao, Rui Huang, Chen Li, Kenny Zhu | https://www.aclweb.org/anthology/D19-1095.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-parallel, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-spanlab, task-seq2seq, task-alignment | 0 | BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels | Yimin Jing, Deyi Xiong, Zhen Yan | https://www.aclweb.org/anthology/D19-1249.pdf |
| 2019 | EMNLP | # reg-stopping, train-mll, train-transfer, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq | 0 | A Robust Self-Learning Framework for Cross-Lingual Text Classification | Xin Dong, Gerard de Melo | https://www.aclweb.org/anthology/D19-1658.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, comb-ensemble, adv-feat, adv-train, task-lm, task-seq2seq | 0 | Pushing the Limits of Low-Resource Morphological Inflection | Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/D19-1091.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-greedy, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation | 0 | Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited | Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre | https://www.aclweb.org/anthology/D19-1277.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, train-transfer, arch-gnn, arch-att, pre-bert, adv-train | 1 | FewRel 2.0: Towards More Challenging Few-Shot Relation Classification | Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou | https://www.aclweb.org/anthology/D19-1649.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-adagrad, optim-projection, reg-dropout, train-mll, arch-rnn, arch-cnn, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-lexicon | 0 | Cross-lingual Semantic Specialization via Lexical Relation Induction | Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1226.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 | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-att, pre-glove, task-seqlab, task-seq2seq, task-relation, task-tree | 0 | A Pilot Study for Chinese SQL Semantic Parsing | Qingkai Min, Yuefeng Shi, Yue Zhang | https://www.aclweb.org/anthology/D19-1377.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, pool-max, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-seq2seq, task-relation, task-alignment | 0 | Cross-lingual Structure Transfer for Relation and Event Extraction | Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss | https://www.aclweb.org/anthology/D19-1030.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, train-mll, arch-lstm, arch-gating, pre-glove, loss-margin, task-seq2seq | 0 | Jointly Learning Entity and Relation Representations for Entity Alignment | Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao | https://www.aclweb.org/anthology/D19-1023.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, comb-ensemble, search-viterbi, pre-fasttext, pre-glove, struct-crf, task-seqlab, task-lm, task-seq2seq, task-lexicon | 0 | Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition | Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung | https://www.aclweb.org/anthology/D19-1360.pdf |
| 2019 | EMNLP | # optim-projection, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-att, arch-copy, pre-bert, task-seq2seq | 0 | Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set | Katharina Kann, Kyunghyun Cho, Samuel R. Bowman | https://www.aclweb.org/anthology/D19-1329.pdf |
| 2019 | EMNLP | # optim-sgd, train-mll, arch-rnn, arch-subword, arch-transformer, search-beam, pre-bert, task-seq2seq | 0 | Machine Translation for Machines: the Sentiment Classification Use Case | Amirhossein Tebbifakhr, Luisa Bentivogli, Matteo Negri, Marco Turchi | https://www.aclweb.org/anthology/D19-1140.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-sgd, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, struct-crf, task-seqlab, task-lexicon | 0 | What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis | Xiaolei Huang, Jonathan May, Nanyun Peng | https://www.aclweb.org/anthology/D19-1672.pdf |
| 2019 | EMNLP | # train-mll, train-augment, arch-rnn, arch-cnn, arch-att, arch-coverage, arch-subword, pre-fasttext, task-relation | 0 | Weakly Supervised Multilingual Causality Extraction from Wikipedia | Chikara Hashimoto | https://www.aclweb.org/anthology/D19-1296.pdf |
| 2019 | EMNLP | # reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, struct-crf, adv-train | 0 | Emotion Detection with Neural Personal Discrimination | Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang | https://www.aclweb.org/anthology/D19-1552.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, arch-lstm, pre-bert, adv-feat, adv-train | 0 | Adversarial Removal of Demographic Attributes Revisited | Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, Anders Søgaard | https://www.aclweb.org/anthology/D19-1662.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, train-mll, train-transfer, arch-lstm, task-lm, task-seq2seq, task-relation | 0 | Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding | Quynh Do, Judith Gaspers | https://www.aclweb.org/anthology/D19-1153.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, 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 | # optim-adam, train-mll, arch-lstm, arch-att, pre-bert, task-textpair, task-spanlab | 0 | GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level | Zixian Huang, Yulin Shen, Xiao Li, Yu’ang Wei, Gong Cheng, Lin Zhou, Xinyu Dai, Yuzhong Qu | https://www.aclweb.org/anthology/D19-1597.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, train-transfer, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon | 8 | 75 Languages, 1 Model: Parsing Universal Dependencies Universally | Dan Kondratyuk, Milan Straka | https://www.aclweb.org/anthology/D19-1279.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-norm, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, task-lm, task-relation | 0 | Specializing Word Embeddings (for Parsing) by Information Bottleneck | Xiang Lisa Li, Jason Eisner | https://www.aclweb.org/anthology/D19-1276.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, train-mtl, train-mll, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-elmo, task-textclass, task-lm | 0 | Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data | Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef, Mona Diab | https://www.aclweb.org/anthology/D19-1460.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-spanlab, task-lm, task-seq2seq, task-cloze | 1 | Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs | Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes | https://www.aclweb.org/anthology/D19-1428.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, loss-svd, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Neural Cross-Lingual Event Detection with Minimal Parallel Resources | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1068.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, pre-skipthought, task-seq2seq | 0 | A Modular Architecture for Unsupervised Sarcasm Generation | Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/D19-1636.pdf |
| 2019 | EMNLP | # train-mll, arch-att, arch-subword, pre-fasttext, loss-svd, task-lexicon | 0 | Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages | Masud Moshtaghi | https://www.aclweb.org/anthology/D19-1076.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-lstm, arch-bilstm, task-relation | 0 | Multilingual Grammar Induction with Continuous Language Identification | Wenjuan Han, Ge Wang, Yong Jiang, Kewei Tu | https://www.aclweb.org/anthology/D19-1576.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, optim-projection, train-mll, train-augment, arch-lstm, arch-bilstm, task-relation | 0 | Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers | Adam Fisch, Jiang Guo, Regina Barzilay | https://www.aclweb.org/anthology/D19-1574.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-stopping, train-mll, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-spanlab, task-lm, task-seq2seq | 1 | Retrofitting Contextualized Word Embeddings with Paraphrases | Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1113.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-augment, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq, task-alignment | 0 | A Discriminative Neural Model for Cross-Lingual Word Alignment | Elias Stengel-Eskin, Tzu-ray Su, Matt Post, Benjamin Van Durme | https://www.aclweb.org/anthology/D19-1084.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 | # optim-adam, optim-projection, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-subword, struct-crf, latent-topic, task-seqlab, task-seq2seq | 1 | A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers | Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/D19-1520.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, norm-layer, train-mll, train-parallel, arch-rnn, arch-att, arch-subword, arch-transformer, search-greedy, search-beam, pre-bert, task-lm, task-seq2seq, task-cloze | 2 | Mask-Predict: Parallel Decoding of Conditional Masked Language Models | Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1633.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, adv-train, task-lm, task-seq2seq | 0 | Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification | Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun | https://www.aclweb.org/anthology/D19-1553.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, task-seq2seq | 0 | Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space | Kawin Ethayarajh | https://www.aclweb.org/anthology/D19-1354.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-stopping, train-mll, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-seq2seq | 0 | LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification | Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun | https://www.aclweb.org/anthology/D19-1554.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-coverage, arch-subword, pre-fasttext, loss-svd, task-textpair, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment | 0 | Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? | Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1449.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, task-seq2seq, task-graph | 2 | VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling | Andrea Di Fabio, Simone Conia, Roberto Navigli | https://www.aclweb.org/anthology/D19-1058.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-bert, task-seqlab, task-lm, task-relation | 3 | Small and Practical BERT Models for Sequence Labeling | Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, Amelia Archer | https://www.aclweb.org/anthology/D19-1374.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-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, pre-use, adv-train, loss-cca, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze | 0 | Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection | Nina Poerner, Hinrich Schütze | https://www.aclweb.org/anthology/D19-1173.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-subword, struct-crf, task-lm | 0 | Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary | Adithya Renduchintala, Philipp Koehn, Jason Eisner | https://www.aclweb.org/anthology/D19-1679.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, train-mll, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-memo, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations | Mingda Chen, Zewei Chu, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1060.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-bilstm, arch-att, arch-bilinear, task-seq2seq, task-relation, task-alignment | 0 | Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank | Meishan Zhang, Yue Zhang, Guohong Fu | https://www.aclweb.org/anthology/D19-1092.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, task-seqlab, task-seq2seq | 3 | Multi-Granularity Self-Attention for Neural Machine Translation | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu | https://www.aclweb.org/anthology/D19-1082.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm | 0 | Neural Duplicate Question Detection without Labeled Training Data | Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1171.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, train-mll, arch-lstm, task-lm, task-alignment | 2 | A Probabilistic Generative Model of Linguistic Typology | Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein | https://www.aclweb.org/anthology/N19-1156.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, 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-projection, reg-dropout, train-mll, arch-lstm, adv-train, task-relation, task-tree, task-alignment | 1 | Typological Features for Multilingual Delexicalised Dependency Parsing | Manon Scholivet, Franck Dary, Alexis Nasr, Benoit Favre, Carlos Ramisch | https://www.aclweb.org/anthology/N19-1393.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment | 12 | Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog | Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis | https://www.aclweb.org/anthology/N19-1380.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 | # 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-projection, train-mll, arch-cnn, arch-coverage, nondif-gumbelsoftmax, latent-topic, task-textclass, task-seq2seq | 1 | Cross-Topic Distributional Semantic Representations Via Unsupervised Mappings | Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos | https://www.aclweb.org/anthology/N19-1110.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, norm-batch, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-memo, arch-subword, search-beam, task-lm, task-seq2seq | 23 | Pre-training on high-resource speech recognition improves low-resource speech-to-text translation | Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, Sharon Goldwater | https://www.aclweb.org/anthology/N19-1006.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, reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, latent-topic, task-textpair | 2 | Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering | Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi | https://www.aclweb.org/anthology/N19-2020.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation | 3 | Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging | Apostolos Kemos, Heike Adel, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1280.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment | 0 | Zero-Shot Cross-Lingual Opinion Target Extraction | Soufian Jebbara, Philipp Cimiano | https://www.aclweb.org/anthology/N19-1257.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab | 1 | An Encoding Strategy Based Word-Character LSTM for Chinese NER | Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song, Yueran Zu | https://www.aclweb.org/anthology/N19-1247.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 | # train-mtl, train-mll, train-transfer, arch-rnn, arch-gru, arch-att, arch-selfatt, adv-train, task-relation, task-tree | 1 | Robust Semantic Parsing with Adversarial Learning for Domain Generalization | Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet, Benoît Favre | https://www.aclweb.org/anthology/N19-2021.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, comb-ensemble, adv-train, task-seqlab, task-seq2seq | 1 | Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging | Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat | https://www.aclweb.org/anthology/N19-1416.pdf |
| 2019 | NAA-CL | # train-mll, arch-lstm, arch-subword, pre-fasttext, pre-elmo, loss-svd, task-lm, task-seq2seq, task-relation, task-alignment | 8 | Context-Aware Cross-Lingual Mapping | Hanan Aldarmaki, Mona Diab | https://www.aclweb.org/anthology/N19-1391.pdf |
| 2019 | NAA-CL | # train-mtl, train-mll, arch-cnn, comb-ensemble | 0 | Strong Baselines for Complex Word Identification across Multiple Languages | Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego, Andreas Vlachos | https://www.aclweb.org/anthology/N19-1102.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 7 | Polyglot Contextual Representations Improve Crosslingual Transfer | Phoebe Mulcaire, Jungo Kasai, Noah A. Smith | https://www.aclweb.org/anthology/N19-1392.pdf |
| 2019 | NAA-CL | # init-glorot, train-mll, train-parallel, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-elmo, task-relation | 2 | Recursive Subtree Composition in LSTM-Based Dependency Parsing | Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre | https://www.aclweb.org/anthology/N19-1159.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, pre-fasttext | 0 | Combining Discourse Markers and Cross-lingual Embeddings for Synonym–Antonym Classification | Michael Roth, Shyam Upadhyay | https://www.aclweb.org/anthology/N19-1390.pdf |
| 2019 | NAA-CL | # optim-projection, reg-patience, train-mll, arch-lstm, arch-att, pre-fasttext, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment | 3 | Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs | Geert Heyman, Bregt Verreet, Ivan Vulić, Marie-Francine Moens | https://www.aclweb.org/anthology/N19-1188.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 | # train-mll, arch-att, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-seq2seq | 0 | Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition | Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko | https://www.aclweb.org/anthology/N19-1050.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-projection, train-mll, arch-lstm, arch-coverage, task-relation, task-tree, task-graph, task-alignment | 0 | Cross-lingual CCG Induction | Kilian Evang | https://www.aclweb.org/anthology/N19-1160.pdf |
| 2019 | NAA-CL | # train-mll, arch-rnn, arch-lstm, arch-att, arch-transformer, struct-hmm, task-lm, task-seq2seq | 0 | Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language | Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan, Mohammad Zuberul Islam | https://www.aclweb.org/anthology/N19-1322.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, task-lm, task-relation | 6 | Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages | Shauli Ravfogel, Yoav Goldberg, Tal Linzen | https://www.aclweb.org/anthology/N19-1356.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, pool-max, arch-rnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-bert, task-seq2seq | 11 | Information Aggregation for Multi-Head Attention with Routing-by-Agreement | Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu | https://www.aclweb.org/anthology/N19-1359.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 2 | One Size Does Not Fit All: Comparing NMT Representations of Different Granularities | Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov | https://www.aclweb.org/anthology/N19-1154.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 | # optim-adam, optim-projection, train-mll, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-bilinear, comb-ensemble, pre-word2vec, task-seq2seq, task-relation, task-alignment | 2 | Low-Resource Syntactic Transfer with Unsupervised Source Reordering | Mohammad Sadegh Rasooli, Michael Collins | https://www.aclweb.org/anthology/N19-1385.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 | # train-mll, arch-rnn, arch-lstm, arch-bilstm, comb-ensemble, pre-word2vec, pre-glove, pre-paravec, pre-skipthought, pre-elmo, task-seq2seq | 0 | Learning Outside the Box: Discourse-level Features Improve Metaphor Identification | Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova | https://www.aclweb.org/anthology/N19-1059.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-mtl, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm | 6 | Massively Multilingual Adversarial Speech Recognition | Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky | https://www.aclweb.org/anthology/N19-1009.pdf |
| 2019 | NAA-CL | # reg-dropout, norm-gradient, train-mtl, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, comb-ensemble, task-seq2seq, task-relation | 0 | Multi-Task Learning for Japanese Predicate Argument Structure Analysis | Hikaru Omori, Mamoru Komachi | https://www.aclweb.org/anthology/N19-1344.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 | # train-mll, task-tree | 0 | Improving Knowledge Base Construction from Robust Infobox Extraction | Boya Peng, Yejin Huh, Xiao Ling, Michele Banko | https://www.aclweb.org/anthology/N19-2018.pdf |
| 2019 | NAA-CL | # train-mll, train-transfer, latent-topic | 0 | Analyzing Bayesian Crosslingual Transfer in Topic Models | Shudong Hao, Michael J. Paul | https://www.aclweb.org/anthology/N19-1158.pdf |
| 2019 | NAA-CL | # train-mll, train-active, arch-att, pre-fasttext, pre-use, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | A Study of Incorrect Paraphrases in Crowdsourced User Utterances | Mohammad-Ali Yaghoub-Zadeh-Fard, Boualem Benatallah, Moshe Chai Barukh, Shayan Zamanirad | https://www.aclweb.org/anthology/N19-1026.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-recnn, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq | 3 | Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages | Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1387.pdf |