| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, train-transfer, arch-rnn, arch-gru, arch-att, arch-subword, task-lm, task-seq2seq | 3 | Multimodal Abstractive Summarization for How2 Videos | Shruti Palaskar, Jindřich Libovický, Spandana Gella, Florian Metze | https://www.aclweb.org/anthology/P19-1659.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-extractive, task-lm, task-context | 0 | Self-Supervised Learning for Contextualized Extractive Summarization | Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang | https://www.aclweb.org/anthology/P19-1214.pdf |
| 2019 | ACL | # train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear | 0 | Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks | Anush Kamath, Sparsh Gupta, Vitor Carvalho | https://www.aclweb.org/anthology/P19-1556.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 | # train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq | 0 | An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese | Enkhbold Bataa, Joshua Wu | https://www.aclweb.org/anthology/P19-1458.pdf |
| 2019 | ACL | # optim-projection, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-coverage, pre-glove, struct-hmm, struct-crf, task-textclass, task-seqlab | 0 | A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy | Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor | https://www.aclweb.org/anthology/P19-1014.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-transfer, train-augment, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-condlm | 7 | Mitigating Gender Bias in Natural Language Processing: Literature Review | Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, William Yang Wang | https://www.aclweb.org/anthology/P19-1159.pdf |
| 2019 | ACL | # optim-adam, 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 | # 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-adam, optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-coverage, comb-ensemble, search-viterbi, struct-crf, adv-train, task-textclass, task-seq2seq, task-relation | 0 | A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining | Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1516.pdf |
| 2019 | ACL | # init-glorot, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, loss-nce | 0 | Toward Comprehensive Understanding of a Sentiment Based on Human Motives | Naoki Otani, Eduard Hovy | https://www.aclweb.org/anthology/P19-1461.pdf |
| 2019 | ACL | # 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 | # optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-lm | 0 | Detecting Concealed Information in Text and Speech | Shengli Hu | https://www.aclweb.org/anthology/P19-1039.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, optim-projection, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling | Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman | https://www.aclweb.org/anthology/P19-1439.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, norm-layer, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation | 1 | Neural Machine Translation with Reordering Embeddings | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/P19-1174.pdf |
| 2019 | ACL | # init-glorot, train-transfer, comb-ensemble, pre-word2vec, adv-train, task-lexicon | 0 | Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes | Marina Sedinkina, Nikolas Breitkopf, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1034.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, train-mtl, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, struct-crf, task-textclass | 3 | Transfer Capsule Network for Aspect Level Sentiment Classification | Zhuang Chen, Tieyun Qian | https://www.aclweb.org/anthology/P19-1052.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-gru, arch-gcnn, arch-cnn, arch-att, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Hierarchical Transfer Learning for Multi-label Text Classification | Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, Kostas Tsioutsiouliklis | https://www.aclweb.org/anthology/P19-1633.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, adv-train, task-relation | 6 | Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers | Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar | https://www.aclweb.org/anthology/P19-1132.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-lstm, arch-coverage, task-lm | 1 | How Large Are Lions? Inducing Distributions over Quantitative Attributes | Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth | https://www.aclweb.org/anthology/P19-1388.pdf |
| 2019 | ACL | # optim-projection, train-transfer, task-lm, task-tree | 0 | Zero-Shot Semantic Parsing for Instructions | Ofer Givoli, Roi Reichart | https://www.aclweb.org/anthology/P19-1438.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-transfer, arch-rnn, arch-att, arch-subword, task-lm, task-seq2seq | 1 | Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation | Wei Wang, Isaac Caswell, Ciprian Chelba | https://www.aclweb.org/anthology/P19-1123.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-att, search-beam, nondif-reinforce, loss-nce, task-seq2seq, task-tree | 0 | Unified Semantic Parsing with Weak Supervision | Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/P19-1473.pdf |
| 2019 | ACL | # init-glorot, train-transfer, train-active, arch-lstm | 0 | Budgeted Policy Learning for Task-Oriented Dialogue Systems | Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen | https://www.aclweb.org/anthology/P19-1364.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-batch, norm-gradient, train-transfer, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-elmo, loss-cca, task-lm, task-seq2seq, task-alignment | 1 | Multimodal and Multi-view Models for Emotion Recognition | Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang | https://www.aclweb.org/anthology/P19-1095.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-active, arch-rnn, arch-lstm, arch-gru, arch-att, pre-glove, task-seq2seq, meta-init | 5 | Domain Adaptive Dialog Generation via Meta Learning | Kun Qian, Zhou Yu | https://www.aclweb.org/anthology/P19-1253.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, struct-cfg, adv-train, task-lm, task-seq2seq, task-relation, task-tree | 0 | Language Modeling with Shared Grammar | Yuyu Zhang, Le Song | https://www.aclweb.org/anthology/P19-1437.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq | 10 | Is Word Segmentation Necessary for Deep Learning of Chinese Representations? | Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li | https://www.aclweb.org/anthology/P19-1314.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq, meta-arch | 1 | Continual and Multi-Task Architecture Search | Ramakanth Pasunuru, Mohit Bansal | https://www.aclweb.org/anthology/P19-1185.pdf |
| 2019 | ACL | # init-glorot, train-transfer, arch-lstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, latent-topic, task-textclass, task-lm | 1 | Zero-Shot Entity Linking by Reading Entity Descriptions | Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee | https://www.aclweb.org/anthology/P19-1335.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-lstm, arch-treelstm, arch-bilinear, arch-coverage, search-viterbi, pre-glove, pre-elmo, task-textpair, task-relation, task-tree | 0 | Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation | Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima, Daisuke Bekki | https://www.aclweb.org/anthology/P19-1013.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, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, pre-glove, task-seqlab | 0 | Automatically Identifying Complaints in Social Media | Daniel Preoţiuc-Pietro, Mihaela Gaman, Nikolaos Aletras | https://www.aclweb.org/anthology/P19-1495.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, meta-init | 1 | Few-Shot Representation Learning for Out-Of-Vocabulary Words | Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun | https://www.aclweb.org/anthology/P19-1402.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, train-transfer, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-greedy, search-beam, pre-glove, task-spanlab, task-seq2seq, task-tree | 1 | Complex Question Decomposition for Semantic Parsing | Haoyu Zhang, Jingjing Cai, Jianjun Xu, Ji Wang | https://www.aclweb.org/anthology/P19-1440.pdf |
| 2019 | ACL | # optim-adam, 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 | # optim-sgd, optim-projection, train-transfer, arch-coverage, pre-glove, loss-svd, task-textpair | 6 | Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings | Matthew Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel | https://www.aclweb.org/anthology/P19-1313.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-lm | 0 | Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models | Xiaolei Huang, Michael J. Paul | https://www.aclweb.org/anthology/P19-1403.pdf |
| 2019 | ACL | # train-transfer, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq | 1 | Domain Adaptive Inference for Neural Machine Translation | Danielle Saunders, Felix Stahlberg, Adrià de Gispert, Bill Byrne | https://www.aclweb.org/anthology/P19-1022.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 | # reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, task-textclass, task-seqlab | 1 | The Language of Legal and Illegal Activity on the Darknet | Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend | https://www.aclweb.org/anthology/P19-1419.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-relation | 2 | Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction | Christoph Alt, Marc Hübner, Leonhard Hennig | https://www.aclweb.org/anthology/P19-1134.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, search-beam, search-viterbi, pre-glove, loss-nce, task-seq2seq, task-graph | 5 | Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue | Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba | https://www.aclweb.org/anthology/P19-1080.pdf |
| 2019 | ACL | # 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, reg-stopping, train-transfer, train-active, arch-rnn, arch-lstm, arch-att, arch-subword, search-beam, task-seq2seq | 0 | Self-Regulated Interactive Sequence-to-Sequence Learning | Julia Kreutzer, Stefan Riezler | https://www.aclweb.org/anthology/P19-1029.pdf |
| 2019 | ACL | # optim-adam, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-copy, search-beam, task-lm, task-seq2seq, task-tree | 1 | Semantic Parsing with Dual Learning | Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu | https://www.aclweb.org/anthology/P19-1007.pdf |
| 2019 | ACL | # reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, adv-train, task-seqlab | 0 | Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data | Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang | https://www.aclweb.org/anthology/P19-1130.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, pre-glove, pre-bert | 0 | Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) | Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria | https://www.aclweb.org/anthology/P19-1455.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-spanlab, task-seq2seq | 2 | Explicit Utilization of General Knowledge in Machine Reading Comprehension | Chao Wang, Hui Jiang | https://www.aclweb.org/anthology/P19-1219.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-att, arch-selfatt, arch-transformer, pre-bert, task-lm | 0 | BERT-based Lexical Substitution | Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1328.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-transformer, comb-ensemble, pre-word2vec, task-seqlab, task-lm, task-seq2seq, task-relation | 4 | Open Vocabulary Learning for Neural Chinese Pinyin IME | Zhuosheng Zhang, Yafang Huang, Hai Zhao | https://www.aclweb.org/anthology/P19-1154.pdf |
| 2019 | ACL | # train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, pre-glove, adv-examp, adv-train, task-textclass | 68 | Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency | Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che | https://www.aclweb.org/anthology/P19-1103.pdf |
| 2019 | ACL | # train-mtl, train-transfer, arch-lstm, arch-att, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq, task-cloze | 6 | Pretraining Methods for Dialog Context Representation Learning | Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao, Maxine Eskenazi | https://www.aclweb.org/anthology/P19-1373.pdf |
| 2019 | ACL | # train-mtl, train-transfer, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-relation | 4 | BAM! Born-Again Multi-Task Networks for Natural Language Understanding | Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le | https://www.aclweb.org/anthology/P19-1595.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, struct-cfg, adv-train, latent-vae, task-lm, task-seq2seq | 0 | Generating Sentences from Disentangled Syntactic and Semantic Spaces | Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/P19-1602.pdf |
| 2019 | ACL | # optim-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 | # train-transfer, arch-coverage, pre-word2vec, adv-examp, latent-topic, loss-nce, task-textclass, task-textpair | 1 | SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference | Martin Schmitt, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1086.pdf |
| 2019 | ACL | # optim-adagrad, train-mtl, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, arch-residual, arch-subword, pre-word2vec, pre-elmo | 0 | Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings | Linh The Nguyen, Linh Van Ngo, Khoat Than, Thien Huu Nguyen | https://www.aclweb.org/anthology/P19-1411.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-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, struct-crf, task-lm, task-tree | 0 | Rationally Reappraising ATIS-based Dialogue Systems | Jingcheng Niu, Gerald Penn | https://www.aclweb.org/anthology/P19-1550.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-transformer, pre-bert, struct-crf, task-seqlab | 0 | Label-Agnostic Sequence Labeling by Copying Nearest Neighbors | Sam Wiseman, Karl Stratos | https://www.aclweb.org/anthology/P19-1533.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-subword, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 2 | Like a Baby: Visually Situated Neural Language Acquisition | Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter | https://www.aclweb.org/anthology/P19-1506.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, norm-gradient, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion | Suyoun Kim, Siddharth Dalmia, Florian Metze | https://www.aclweb.org/anthology/P19-1107.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-layer, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq, task-tree | 4 | Decomposable Neural Paraphrase Generation | Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu | https://www.aclweb.org/anthology/P19-1332.pdf |
| 2019 | ACL | # optim-adam, 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, 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, reg-decay, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, comb-ensemble, task-textclass, task-lm, task-seq2seq | 0 | StRE: Self Attentive Edit Quality Prediction in Wikipedia | Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee | https://www.aclweb.org/anthology/P19-1387.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-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 0 | Literary Event Detection | Matthew Sims, Jong Ho Park, David Bamman | https://www.aclweb.org/anthology/P19-1353.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-adam, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, adv-train, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 1 | Domain Adaptation of Neural Machine Translation by Lexicon Induction | Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/P19-1286.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 | # init-glorot, reg-dropout, train-transfer, arch-att, pre-elmo, loss-cca, task-seq2seq | 2 | Fine-Grained Temporal Relation Extraction | Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White | https://www.aclweb.org/anthology/P19-1280.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, comb-ensemble, struct-crf | 1 | Cost-sensitive Regularization for Label Confusion-aware Event Detection | Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/P19-1521.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-gating, arch-transformer, comb-ensemble, search-beam, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq | 5 | Multi-style Generative Reading Comprehension | Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita | https://www.aclweb.org/anthology/P19-1220.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, adv-train, loss-nce, task-seqlab, task-relation | 2 | Reinforced Training Data Selection for Domain Adaptation | Miaofeng Liu, Yan Song, Hongbin Zou, Tong Zhang | https://www.aclweb.org/anthology/P19-1189.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seqlab, task-seq2seq, task-relation | 5 | Lattice-Based Transformer Encoder for Neural Machine Translation | Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen | https://www.aclweb.org/anthology/P19-1298.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 | # optim-adagrad, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, adv-train, task-textpair, task-seqlab | 5 | OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs | Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba | https://www.aclweb.org/anthology/P19-1081.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 | # optim-adam, optim-adadelta, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gnn, arch-att, arch-energy, search-beam, pre-glove, struct-crf, nondif-minrisk, task-textclass, task-seq2seq | 3 | Joint Type Inference on Entities and Relations via Graph Convolutional Networks | Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan | https://www.aclweb.org/anthology/P19-1131.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq | 1 | Learning to Control the Fine-grained Sentiment for Story Ending Generation | Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun | https://www.aclweb.org/anthology/P19-1603.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-att, task-tree | 1 | Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following | David Gaddy, Dan Klein | https://www.aclweb.org/anthology/P19-1188.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, adv-train, task-lm, task-seq2seq, task-relation | 0 | Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation | Yftah Ziser, Roi Reichart | https://www.aclweb.org/anthology/P19-1591.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-glove, pre-bert, adv-examp, adv-train, task-textpair | 17 | Probing Neural Network Comprehension of Natural Language Arguments | Timothy Niven, Hung-Yu Kao | https://www.aclweb.org/anthology/P19-1459.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation, task-alignment | 1 | Sentence-Level Agreement for Neural Machine Translation | Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1296.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-cnn, arch-att, comb-ensemble, adv-train, latent-vae, latent-topic, task-textclass, task-seq2seq | 0 | Semi-supervised Stochastic Multi-Domain Learning using Variational Inference | Yitong Li, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1186.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, pre-glove, pre-skipthought, pre-elmo, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification | Tu Vu, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1638.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-bert, task-relation | 0 | Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures | Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou | https://www.aclweb.org/anthology/P19-1432.pdf |
| 2019 | ACL | # optim-adam, norm-layer, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 1 | A Compact and Language-Sensitive Multilingual Translation Method | Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong | https://www.aclweb.org/anthology/P19-1117.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, train-transfer, arch-cnn, comb-ensemble, pre-bert, task-textclass, task-lm | 0 | A Surprisingly Robust Trick for the Winograd Schema Challenge | Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz | https://www.aclweb.org/anthology/P19-1478.pdf |
| 2019 | ACL | # reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-bert, struct-crf, latent-topic, task-seqlab, task-relation | 2 | Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision | Hongliang Dai, Yangqiu Song | https://www.aclweb.org/anthology/P19-1520.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-sgd, optim-adam, reg-dropout, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze | 116 | Multi-Task Deep Neural Networks for Natural Language Understanding | Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1441.pdf |
| 2019 | ACL | # train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, latent-topic, task-lm | 2 | Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View | Renfen Hu, Shen Li, Shichen Liang | https://www.aclweb.org/anthology/P19-1379.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 | # 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 | # reg-stopping, train-transfer, arch-rnn, arch-att, pre-glove, pre-bert, task-spanlab, task-lm, task-tree | 12 | MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension | Alon Talmor, Jonathan Berant | https://www.aclweb.org/anthology/P19-1485.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-adam, optim-projection, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze | 0 | Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings | Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1168.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-labelsmooth, train-transfer, activ-relu, pool-max, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-bert, latent-topic, task-textpair, task-lm, task-seq2seq | 2 | Zero-shot Word Sense Disambiguation using Sense Definition Embeddings | Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha Talukdar | https://www.aclweb.org/anthology/P19-1568.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze | 2 | Exploring Pre-trained Language Models for Event Extraction and Generation | Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li | https://www.aclweb.org/anthology/P19-1522.pdf |
| 2019 | ACL | # train-transfer, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq | 5 | Strategies for Structuring Story Generation | Angela Fan, Mike Lewis, Yann Dauphin | https://www.aclweb.org/anthology/P19-1254.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, pre-glove, task-textclass, task-seqlab | 8 | Celebrity Profiling | Matti Wiegmann, Benno Stein, Martin Potthast | https://www.aclweb.org/anthology/P19-1249.pdf |
| 2019 | ACL | # optim-sgd, init-glorot, train-mtl, train-transfer, arch-att, comb-ensemble, adv-train, task-textclass | 0 | Learning Transferable Feature Representations Using Neural Networks | Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar, Sriranjani Ramakrishnan | https://www.aclweb.org/anthology/P19-1404.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-active, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-gating, arch-subword, pre-fasttext, pre-glove, task-lm, task-seq2seq | 1 | Low-resource Deep Entity Resolution with Transfer and Active Learning | Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa | https://www.aclweb.org/anthology/P19-1586.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-bilinear, pre-glove, pre-elmo, pre-bert, struct-crf, task-seq2seq, task-relation | 3 | A Unified Linear-Time Framework for Sentence-Level Discourse Parsing | Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari | https://www.aclweb.org/anthology/P19-1410.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-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, 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, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, search-beam, pre-glove, pre-bert, task-lm, task-seq2seq | 0 | Robust Navigation with Language Pretraining and Stochastic Sampling | Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi | https://www.aclweb.org/anthology/D19-1159.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 | # reg-stopping, train-transfer, arch-transformer, latent-topic, task-lm, task-seq2seq, task-relation | 2 | Distributionally Robust Language Modeling | Yonatan Oren, Shiori Sagawa, Tatsunori Hashimoto, Percy Liang | https://www.aclweb.org/anthology/D19-1432.pdf |
| 2019 | EMNLP | # train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq | 0 | “Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer | Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran | https://www.aclweb.org/anthology/D19-1322.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-rnn, arch-att, arch-subword, arch-transformer, pre-skipthought, pre-bert, task-textclass, task-lm, task-seq2seq | 1 | Improving Neural Story Generation by Targeted Common Sense Grounding | Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley, Garrison Cottrell | https://www.aclweb.org/anthology/D19-1615.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, optim-projection, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab | 0 | Answering questions by learning to rank - Learning to rank by answering questions | George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti | https://www.aclweb.org/anthology/D19-1256.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # 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-sgd, reg-decay, train-transfer, arch-lstm, arch-subword, search-beam, task-seq2seq, task-alignment | 0 | HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation | Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn | https://www.aclweb.org/anthology/D19-1142.pdf |
| 2019 | EMNLP | # init-glorot, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 2 | Denoising based Sequence-to-Sequence Pre-training for Text Generation | Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu | https://www.aclweb.org/anthology/D19-1412.pdf |
| 2019 | EMNLP | # 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-transfer, arch-rnn, arch-lstm, pre-elmo, pre-bert, adv-train, task-textclass, task-seqlab, task-lm, task-cloze | 4 | Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling | Xiaochuang Han, Jacob Eisenstein | https://www.aclweb.org/anthology/D19-1433.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, pre-fasttext, task-textclass | 0 | PRADO: Projection Attention Networks for Document Classification On-Device | Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva | https://www.aclweb.org/anthology/D19-1506.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, loss-nce, task-textpair, task-alignment | 0 | A Gated Self-attention Memory Network for Answer Selection | Tuan Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara | https://www.aclweb.org/anthology/D19-1610.pdf |
| 2019 | EMNLP | # optim-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 | # 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, train-transfer, arch-rnn, arch-lstm, arch-att, pre-fasttext, pre-bert, loss-margin, loss-triplet, task-lm, task-condlm, task-seq2seq | 0 | Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations | Po-Yao Huang, Xiaojun Chang, Alexander Hauptmann | https://www.aclweb.org/anthology/D19-1154.pdf |
| 2019 | EMNLP | # 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-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-word2vec, pre-bert, task-seqlab, task-seq2seq, task-relation, task-tree | 0 | A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling | Qingrong Xia, Zhenghua Li, Min Zhang | https://www.aclweb.org/anthology/D19-1541.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 | # train-mtl, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing | Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura | https://www.aclweb.org/anthology/D19-1648.pdf |
| 2019 | EMNLP | # reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features | Hongyin Tang, Miao Li, Beihong Jin | https://www.aclweb.org/anthology/D19-1513.pdf |
| 2019 | EMNLP | # optim-adam, 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, train-transfer, arch-att, arch-transformer, search-beam, pre-word2vec, task-lm, task-condlm, task-seq2seq | 2 | Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering | Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut | https://www.aclweb.org/anthology/D19-1155.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, pre-bert, task-seq2seq | 0 | MoEL: Mixture of Empathetic Listeners | Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung | https://www.aclweb.org/anthology/D19-1012.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-transfer, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-transformer, pre-bert | 0 | Humor Detection: A Transformer Gets the Last Laugh | Orion Weller, Kevin Seppi | https://www.aclweb.org/anthology/D19-1372.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, norm-gradient, train-transfer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, pre-glove, task-seq2seq, task-tree | 0 | Data Augmentation with Atomic Templates for Spoken Language Understanding | Zijian Zhao, Su Zhu, Kai Yu | https://www.aclweb.org/anthology/D19-1375.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, train-active, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, pre-fasttext, pre-bert, task-textclass, task-lm, task-condlm, task-seq2seq | 14 | Learning to Speak and Act in a Fantasy Text Adventure Game | Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston | https://www.aclweb.org/anthology/D19-1062.pdf |
| 2019 | EMNLP | # optim-adagrad, optim-projection, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-att, arch-memo, task-seq2seq | 4 | CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis | Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen | https://www.aclweb.org/anthology/D19-1467.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 | # train-transfer, arch-rnn, arch-att, comb-ensemble, pre-bert, task-extractive, task-lm, task-cloze | 0 | AMPERSAND: Argument Mining for PERSuAsive oNline Discussions | Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang | https://www.aclweb.org/anthology/D19-1291.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding | Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu | https://www.aclweb.org/anthology/D19-1097.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, adv-train | 0 | Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network | Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen | https://www.aclweb.org/anthology/D19-1487.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 | # reg-dropout, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, task-relation | 0 | Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction | Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren | https://www.aclweb.org/anthology/D19-1397.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, arch-coverage, comb-ensemble, pre-glove, pre-elmo, pre-bert, latent-vae, task-seq2seq, task-tree | 0 | Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks | Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon | https://www.aclweb.org/anthology/D19-1183.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, 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-projection, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, comb-ensemble, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation | Huiyun Yang, Shujian Huang, Xin-Yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/D19-1429.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-adam, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, latent-vae, task-seqlab, task-lm, task-seq2seq, task-tree | 0 | Latent Part-of-Speech Sequences for Neural Machine Translation | Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian | https://www.aclweb.org/anthology/D19-1072.pdf |
| 2019 | EMNLP | # optim-adam, 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-amsgrad, reg-dropout, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, comb-ensemble, search-beam, task-relation | 0 | A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection | Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou | https://www.aclweb.org/anthology/D19-1381.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 | # optim-adam, train-transfer, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, loss-nce, task-textclass, task-lm, task-cloze | 0 | Multi-Granularity Representations of Dialog | Shikib Mehri, Maxine Eskenazi | https://www.aclweb.org/anthology/D19-1184.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-lstm, task-textclass | 1 | Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control | Mo Yu, Shiyu Chang, Yang Zhang, Tommi Jaakkola | https://www.aclweb.org/anthology/D19-1420.pdf |
| 2019 | EMNLP | # train-transfer, arch-gru, task-lm, task-condlm, task-seq2seq | 1 | Domain Adaptive Text Style Transfer | Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan, Ming-Ting Sun | https://www.aclweb.org/anthology/D19-1325.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, pre-glove, pre-bert, latent-vae | 0 | Transfer Learning Between Related Tasks Using Expected Label Proportions | Matan Ben Noach, Yoav Goldberg | https://www.aclweb.org/anthology/D19-1004.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-lstm, latent-vae, task-lm | 0 | Neural Gaussian Copula for Variational Autoencoder | Prince Zizhuang Wang, William Yang Wang | https://www.aclweb.org/anthology/D19-1442.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-transformer, pre-bert, task-spanlab, task-lm | 11 | Social IQa: Commonsense Reasoning about Social Interactions | Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi | https://www.aclweb.org/anthology/D19-1454.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-subword, pre-glove, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Rethinking Attribute Representation and Injection for Sentiment Classification | Reinald Kim Amplayo | https://www.aclweb.org/anthology/D19-1562.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, struct-crf | 0 | Event Detection with Trigger-Aware Lattice Neural Network | Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin | https://www.aclweb.org/anthology/D19-1033.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 | # optim-sgd, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, adv-train | 0 | Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification | Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su | https://www.aclweb.org/anthology/D19-1558.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 | # reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext | 0 | Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization | Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si | https://www.aclweb.org/anthology/D19-1237.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-subword, pre-fasttext, pre-glove, pre-elmo, pre-bert, loss-nce, task-textclass, task-textpair, task-lm, task-cloze | 0 | Multi-label Categorization of Accounts of Sexism using a Neural Framework | Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma | https://www.aclweb.org/anthology/D19-1174.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq, task-tree | 0 | Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis | Hiroki Ouchi, Jun Suzuki, Kentaro Inui | https://www.aclweb.org/anthology/D19-1379.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-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, pre-glove, pre-skipthought, pre-elmo, pre-use, adv-train, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation | Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus | https://www.aclweb.org/anthology/D19-1306.pdf |
| 2019 | EMNLP | # reg-dropout, train-transfer, train-parallel, arch-att, arch-transformer, task-seq2seq | 1 | Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation | Raj Dabre, Atsushi Fujita, Chenhui Chu | https://www.aclweb.org/anthology/D19-1146.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-projection, train-transfer, arch-lstm, arch-att, arch-coverage, pre-glove, pre-bert, task-textpair, task-lm, task-condlm | 0 | Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects | James Mullenbach, Jonathan Gordon, Nanyun Peng, Jonathan May | https://www.aclweb.org/anthology/D19-1625.pdf |
| 2019 | EMNLP | # optim-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 | # train-transfer, arch-att, arch-transformer, pre-elmo, pre-bert, task-textclass, task-lm | 0 | Pre-Training BERT on Domain Resources for Short Answer Grading | Chul Sung, Tejas Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora | https://www.aclweb.org/anthology/D19-1628.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, pre-bert, task-seq2seq, task-relation, task-tree | 0 | Leveraging Dependency Forest for Neural Medical Relation Extraction | Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su | https://www.aclweb.org/anthology/D19-1020.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq | 0 | Reading Like HER: Human Reading Inspired Extractive Summarization | Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He | https://www.aclweb.org/anthology/D19-1300.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, 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-adam, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, pre-bert, task-textclass, task-seq2seq | 0 | HMEAE: Hierarchical Modular Event Argument Extraction | Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren | https://www.aclweb.org/anthology/D19-1584.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, reg-patience, train-transfer, train-active, arch-lstm, arch-bilstm, comb-ensemble, pre-glove, pre-elmo, adv-examp, adv-train, task-lm | 0 | To Annotate or Not? Predicting Performance Drop under Domain Shift | Hady Elsahar, Matthias Gallé | https://www.aclweb.org/anthology/D19-1222.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, reg-dropout, train-transfer, train-augment, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-bert, pre-use, task-textpair, task-lm, task-seq2seq, task-relation | 0 | Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange | Steven Y. Feng, Aaron W. Li, Jesse Hoey | https://www.aclweb.org/anthology/D19-1272.pdf |
| 2019 | EMNLP | # init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, pre-bert | 0 | Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction | Rujun Han, Qiang Ning, Nanyun Peng | https://www.aclweb.org/anthology/D19-1041.pdf |
| 2019 | EMNLP | # train-transfer, arch-lstm, arch-att, adv-feat, adv-train, latent-topic, task-textclass, task-seq2seq, task-lexicon, task-alignment | 0 | Topics to Avoid: Demoting Latent Confounds in Text Classification | Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov | https://www.aclweb.org/anthology/D19-1425.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-skipthought, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Transfer Fine-Tuning: A BERT Case Study | Yuki Arase, Jun’ichi Tsujii | https://www.aclweb.org/anthology/D19-1542.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-coverage, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass | 0 | Label Embedding using Hierarchical Structure of Labels for Twitter Classification | Taro Miyazaki, Kiminobu Makino, Yuka Takei, Hiroki Okamoto, Jun Goto | https://www.aclweb.org/anthology/D19-1660.pdf |
| 2019 | EMNLP | # train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, task-textclass, task-relation | 0 | Hierarchical Attention Prototypical Networks for Few-Shot Text Classification | Shengli Sun, Qingfeng Sun, Kevin Zhou, Tengchao Lv | https://www.aclweb.org/anthology/D19-1045.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-att, task-textclass | 0 | A Label Informative Wide & Deep Classifier for Patents and Papers | Muyao Niu, Jie Cai | https://www.aclweb.org/anthology/D19-1344.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-att, pre-bert, task-lm, task-seq2seq | 0 | The Woman Worked as a Babysitter: On Biases in Language Generation | Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng | https://www.aclweb.org/anthology/D19-1339.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 | # init-glorot, train-transfer, pool-mean, arch-gru, arch-att, pre-bert, task-seq2seq | 0 | WSLLN:Weakly Supervised Natural Language Localization Networks | Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong | https://www.aclweb.org/anthology/D19-1157.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq | 0 | Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification | Oren Melamud, Mihaela Bornea, Ken Barker | https://www.aclweb.org/anthology/D19-1401.pdf |
| 2019 | EMNLP | # optim-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 | # optim-adam, reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-word2vec, pre-glove, struct-crf, task-textclass, task-seqlab | 2 | Practical Obstacles to Deploying Active Learning | David Lowell, Zachary C. Lipton, Byron C. Wallace | https://www.aclweb.org/anthology/D19-1003.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Shallow Domain Adaptive Embeddings for Sentiment Analysis | Prathusha K Sarma, Yingyu Liang, William Sethares | https://www.aclweb.org/anthology/D19-1557.pdf |
| 2019 | EMNLP | # train-mtl, train-transfer, arch-lstm, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq | 0 | Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings | Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/D19-1147.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, reg-dropout, reg-stopping, reg-patience, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq, task-relation | 6 | SciBERT: A Pretrained Language Model for Scientific Text | Iz Beltagy, Kyle Lo, Arman Cohan | https://www.aclweb.org/anthology/D19-1371.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, train-active, pre-elmo, pre-bert, adv-train, latent-vae, task-textclass, task-seqlab, task-lm, task-seq2seq, task-lexicon | 2 | Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER | Phillip Keung, Yichao Lu, Vikas Bhardwaj | https://www.aclweb.org/anthology/D19-1138.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, pool-max, arch-lstm, arch-cnn, arch-att, adv-train | 0 | Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data | Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun | https://www.aclweb.org/anthology/D19-1021.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, 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-sgd, train-transfer, arch-rnn, arch-gru, arch-att, pre-word2vec, latent-vae, task-seq2seq | 0 | Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders | Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1201.pdf |
| 2019 | EMNLP | # train-transfer, arch-att, latent-topic, task-lm | 0 | Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech | Yuanfeng Song, Di Jiang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong, Qiang Yang | https://www.aclweb.org/anthology/D19-3007.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, 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 | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, struct-crf, adv-train, task-seqlab, task-seq2seq | 3 | Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning | Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang | https://www.aclweb.org/anthology/D19-1466.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, search-viterbi, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Leveraging Medical Literature for Section Prediction in Electronic Health Records | Sara Rosenthal, Ken Barker, Zhicheng Liang | https://www.aclweb.org/anthology/D19-1492.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-rnn, arch-gru, arch-att, task-lm, task-seq2seq | 0 | How to Build User Simulators to Train RL-based Dialog Systems | Weiyan Shi, Kun Qian, Xuewei Wang, Zhou Yu | https://www.aclweb.org/anthology/D19-1206.pdf |
| 2019 | EMNLP | # train-transfer, train-augment, arch-att, arch-copy, arch-coverage, arch-transformer, task-seq2seq | 0 | Abstract Text Summarization: A Low Resource Challenge | Shantipriya Parida, Petr Motlicek | https://www.aclweb.org/anthology/D19-1616.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, arch-lstm, arch-bilstm, arch-cnn, nondif-reinforce, adv-examp, task-textclass, task-seq2seq | 0 | Adversarial Reprogramming of Text Classification Neural Networks | Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar | https://www.aclweb.org/anthology/D19-1525.pdf |
| 2019 | EMNLP | # reg-dropout, reg-norm, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training | Giannis Karamanolakis, Daniel Hsu, Luis Gravano | https://www.aclweb.org/anthology/D19-1468.pdf |
| 2019 | EMNLP | # optim-projection, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, task-seq2seq, task-tree | 0 | Look-up and Adapt: A One-shot Semantic Parser | Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell | https://www.aclweb.org/anthology/D19-1104.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, 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, optim-projection, reg-dropout, train-transfer, train-augment, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, comb-ensemble, search-beam, pre-bert, task-lm, task-seq2seq | 0 | Exploiting Monolingual Data at Scale for Neural Machine Translation | Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1430.pdf |
| 2019 | EMNLP | # optim-adam, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, pre-use, loss-triplet, task-textpair | 5 | Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks | Nils Reimers, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1410.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, 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 | # train-transfer, arch-subword, task-lm, task-seq2seq | 5 | Reinforcement Learning based Curriculum Optimization for Neural Machine Translation | Gaurav Kumar, George Foster, Colin Cherry, Maxim Krikun | https://www.aclweb.org/anthology/N19-1208.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-projection, train-transfer, task-lm, task-seq2seq | 1 | Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus | Bai Li, Yi-Te Hsu, Frank Rudzicz | https://www.aclweb.org/anthology/N19-1199.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-adam, optim-projection, reg-dropout, train-mtl, train-transfer, train-parallel, arch-rnn, arch-att, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-tree | 0 | Understanding and Improving Hidden Representations for Neural Machine Translation | Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi | https://www.aclweb.org/anthology/N19-1046.pdf |
| 2019 | NAA-CL | # train-mll, train-transfer, latent-topic, loss-nce, task-textclass, task-lm, task-alignment | 1 | Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling | Kathleen C. Fraser, Nicklas Linz, Bai Li, Kristina Lundholm Fors, Frank Rudzicz, Alexandra König, Jan Alexandersson, Philippe Robert, Dimitrios Kokkinakis | https://www.aclweb.org/anthology/N19-1367.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, task-spanlab, task-seq2seq | 0 | Online Distilling from Checkpoints for Neural Machine Translation | Hao-Ran Wei, Shujian Huang, Ran Wang, Xin-yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/N19-1192.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues | Sungjoon Park, Donghyun Kim, Alice Oh | https://www.aclweb.org/anthology/N19-1148.pdf |
| 2019 | NAA-CL | # optim-adam, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, search-beam, task-lm, task-seq2seq, task-alignment | 3 | Curriculum Learning for Domain Adaptation in Neural Machine Translation | Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh | https://www.aclweb.org/anthology/N19-1189.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, train-mtl, train-transfer, arch-lstm, arch-coverage, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm | 3 | Mining Discourse Markers for Unsupervised Sentence Representation Learning | Damien Sileo, Tim Van De Cruys, Camille Pradel, Philippe Muller | https://www.aclweb.org/anthology/N19-1351.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, optim-projection, reg-dropout, train-transfer, arch-lstm, arch-cnn, arch-memo, latent-vae, task-lm | 3 | Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling | Prince Zizhuang Wang, William Yang Wang | https://www.aclweb.org/anthology/N19-1025.pdf |
| 2019 | NAA-CL | # optim-adam, 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 | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, arch-subword, search-beam, search-viterbi, struct-crf, latent-topic, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Incorporating Word Attention into Character-Based Word Segmentation | Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada | https://www.aclweb.org/anthology/N19-1276.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 | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, train-transfer, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 7 | Non-Parametric Adaptation for Neural Machine Translation | Ankur Bapna, Orhan Firat | https://www.aclweb.org/anthology/N19-1191.pdf |
| 2019 | NAA-CL | # train-transfer, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm | 1 | Using Similarity Measures to Select Pretraining Data for NER | Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris | https://www.aclweb.org/anthology/N19-1149.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq | 3 | Adversarial Training for Weakly Supervised Event Detection | Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li | https://www.aclweb.org/anthology/N19-1105.pdf |
| 2019 | NAA-CL | # optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, pre-elmo, pre-bert, task-lm | 4 | Structural Scaffolds for Citation Intent Classification in Scientific Publications | Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady | https://www.aclweb.org/anthology/N19-1361.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 | # init-glorot, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-glove, adv-train, loss-triplet, task-lm | 1 | Adversarial Category Alignment Network for Cross-domain Sentiment Classification | Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou | https://www.aclweb.org/anthology/N19-1258.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-energy, search-viterbi, pre-word2vec, pre-skipthought, struct-hmm, struct-crf, adv-train, task-textclass, task-seq2seq | 0 | Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation | Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq Joty | https://www.aclweb.org/anthology/N19-1134.pdf |
| 2019 | NAA-CL | # optim-adam, norm-batch, train-mtl, train-transfer, struct-cfg, adv-train, latent-topic, task-seq2seq | 5 | Detecting cognitive impairments by agreeing on interpretations of linguistic features | Zining Zhu, Jekaterina Novikova, Frank Rudzicz | https://www.aclweb.org/anthology/N19-1146.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, pre-glove, task-textpair, task-lm, task-seq2seq | 1 | Linguistically-Informed Specificity and Semantic Plausibility for Dialogue Generation | Wei-Jen Ko, Greg Durrett, Junyi Jessy Li | https://www.aclweb.org/anthology/N19-1349.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-memo, task-textpair, task-relation, task-graph | 3 | Biomedical Event Extraction based on Knowledge-driven Tree-LSTM | Diya Li, Lifu Huang, Heng Ji, Jiawei Han | https://www.aclweb.org/anthology/N19-1145.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-stopping, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-relation | 0 | AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning | Han Guo, Ramakanth Pasunuru, Mohit Bansal | https://www.aclweb.org/anthology/N19-1355.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-cnn, arch-att, pre-glove, struct-crf, task-seqlab | 2 | Entity Recognition at First Sight: Improving NER with Eye Movement Information | Nora Hollenstein, Ce Zhang | https://www.aclweb.org/anthology/N19-1001.pdf |
| 2019 | NAA-CL | # reg-stopping, norm-gradient, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-copy, nondif-reinforce, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network | Hitesh Golchha, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1091.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mtl, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq | 4 | Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension | Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao | https://www.aclweb.org/anthology/N19-1271.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq, task-relation, task-lexicon | 12 | Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing | Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson | https://www.aclweb.org/anthology/N19-1162.pdf |
| 2019 | NAA-CL | # reg-dropout, norm-gradient, train-transfer, train-parallel, arch-att, arch-subword, arch-transformer, task-seq2seq, task-alignment | 0 | Measuring Immediate Adaptation Performance for Neural Machine Translation | Patrick Simianer, Joern Wuebker, John DeNero | https://www.aclweb.org/anthology/N19-1206.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-transfer, pool-max, pool-mean, arch-lstm, arch-att, arch-memo, arch-bilinear, pre-word2vec, pre-glove, task-textclass, task-seqlab | 1 | Description-Based Zero-shot Fine-Grained Entity Typing | Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli | https://www.aclweb.org/anthology/N19-1087.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, 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 | # optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, task-textclass | 0 | Event Detection without Triggers | Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou | https://www.aclweb.org/anthology/N19-1080.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 |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze | 3209 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova | https://www.aclweb.org/anthology/N19-1423.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, norm-layer, train-transfer, arch-rnn, arch-lstm, arch-att, arch-subword, search-greedy, search-beam, struct-cfg, nondif-gumbelsoftmax, task-lm, task-seq2seq | 5 | Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation | Xing Niu, Weijia Xu, Marine Carpuat | https://www.aclweb.org/anthology/N19-1043.pdf |