Year |
Conf. |
Topic |
Cited |
Paper |
Authors |
Url |
2019 |
ACL |
# train-augment, arch-rnn, arch-lstm, arch-bilstm, pre-bert, struct-hmm, adv-examp, adv-train, task-spanlab, task-lm, task-seq2seq |
6 |
Combating Adversarial Misspellings with Robust Word Recognition |
Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton |
https://www.aclweb.org/anthology/P19-1561.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, adv-train, latent-vae, latent-topic |
0 |
Topic Modeling with Wasserstein Autoencoders |
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang |
https://www.aclweb.org/anthology/P19-1640.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-mtl, train-mll, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-coverage, pre-glove, pre-skipthought, pre-elmo, pre-bert, adv-train, task-textpair, task-lm, task-cloze, task-relation |
2 |
DisSent: Learning Sentence Representations from Explicit Discourse Relations |
Allen Nie, Erin Bennett, Noah Goodman |
https://www.aclweb.org/anthology/P19-1442.pdf |
2019 |
ACL |
# 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 |
# train-mll, pool-max, arch-lstm, arch-att, arch-memo, nondif-reinforce, adv-train, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze, task-context |
1 |
Self-Supervised Dialogue Learning |
Jiawei Wu, Xin Wang, William Yang Wang |
https://www.aclweb.org/anthology/P19-1375.pdf |
2019 |
ACL |
# train-mll, 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, 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 |
# 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 |
# 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 |
# train-parallel, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-word2vec, adv-train, latent-vae |
2 |
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation |
Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou |
https://www.aclweb.org/anthology/P19-1192.pdf |
2019 |
ACL |
# 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 |
# optim-adam, optim-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, adv-train, task-seq2seq, task-relation, task-lexicon, task-alignment |
6 |
JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages |
Željko Agić, Ivan Vulić |
https://www.aclweb.org/anthology/P19-1310.pdf |
2019 |
ACL |
# 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-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 |
# reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-glove, struct-crf, adv-train, task-seqlab |
1 |
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records |
Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann |
https://www.aclweb.org/anthology/P19-1584.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 |
# arch-rnn, arch-lstm, arch-att, search-beam, pre-word2vec, adv-train, latent-vae, task-lm, task-condlm, task-seq2seq |
3 |
Retrieval-Enhanced Adversarial Training for Neural Response Generation |
Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei, Ting Liu |
https://www.aclweb.org/anthology/P19-1366.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, 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 |
# reg-dropout, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, adv-train, task-seq2seq |
0 |
Reference Network for Neural Machine Translation |
Han Fu, Chenghao Liu, Jianling Sun |
https://www.aclweb.org/anthology/P19-1287.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-gating, arch-memo, arch-coverage, pre-word2vec, adv-train, latent-vae, task-seq2seq |
0 |
Enhancing Topic-to-Essay Generation with External Commonsense Knowledge |
Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun |
https://www.aclweb.org/anthology/P19-1193.pdf |
2019 |
ACL |
# 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 |
# optim-adam, optim-projection, train-mll, arch-gru, arch-att, pre-fasttext, adv-train, task-seq2seq, task-lexicon |
0 |
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders |
Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya |
https://www.aclweb.org/anthology/P19-1297.pdf |
2019 |
ACL |
# 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 |
# optim-adam, train-mll, arch-lstm, arch-att, arch-subword, search-greedy, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment |
1 |
Unsupervised Pivot Translation for Distant Languages |
Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu |
https://www.aclweb.org/anthology/P19-1017.pdf |
2019 |
ACL |
# optim-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, 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 |
# optim-adam, reg-dropout, pool-max, comb-ensemble, adv-train, task-textclass, meta-arch |
1 |
Incorporating Priors with Feature Attribution on Text Classification |
Frederick Liu, Besim Avci |
https://www.aclweb.org/anthology/P19-1631.pdf |
2019 |
ACL |
# train-mll, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon, task-alignment |
3 |
Bilingual Lexicon Induction through Unsupervised Machine Translation |
Mikel Artetxe, Gorka Labaka, Eneko Agirre |
https://www.aclweb.org/anthology/P19-1494.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, reg-patience, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-gating, pre-glove, struct-crf, adv-train, loss-nce, task-textclass, task-seqlab, task-lm |
0 |
Multi-Task Networks with Universe, Group, and Task Feature Learning |
Shiva Pentyala, Mengwen Liu, Markus Dreyer |
https://www.aclweb.org/anthology/P19-1079.pdf |
2019 |
ACL |
# optim-adam, reg-dropout, train-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 |
# train-mll, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, adv-train, task-lm, task-seq2seq, task-lexicon, task-alignment |
0 |
Unsupervised Joint Training of Bilingual Word Embeddings |
Benjamin Marie, Atsushi Fujita |
https://www.aclweb.org/anthology/P19-1312.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mtl, train-mll, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, adv-train |
2 |
Adversarial Attention Modeling for Multi-dimensional Emotion Regression |
Suyang Zhu, Shoushan Li, Guodong Zhou |
https://www.aclweb.org/anthology/P19-1045.pdf |
2019 |
ACL |
# optim-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, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, arch-memo, pre-glove, adv-examp, adv-train, task-spanlab |
2 |
Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/P19-1262.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, 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, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-topic, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree |
2 |
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding |
Junyi Li, Wayne Xin Zhao, Ji-Rong Wen, Yang Song |
https://www.aclweb.org/anthology/P19-1190.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 |
# optim-sgd, optim-adam, arch-lstm, arch-bilstm, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm |
3 |
Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference |
Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme, Alexander Rush |
https://www.aclweb.org/anthology/P19-1084.pdf |
2019 |
ACL |
# arch-lstm, arch-att, adv-examp, adv-train, task-textclass, task-textpair, task-lm |
2 |
Generating Fluent Adversarial Examples for Natural Languages |
Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li |
https://www.aclweb.org/anthology/P19-1559.pdf |
2019 |
ACL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm |
1 |
Variational Pretraining for Semi-supervised Text Classification |
Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith |
https://www.aclweb.org/anthology/P19-1590.pdf |
2019 |
ACL |
# 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, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq |
1 |
Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation |
Benjamin Heinzerling, Michael Strube |
https://www.aclweb.org/anthology/P19-1027.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, adv-train, latent-vae |
1 |
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification |
Wei Jia, Dai Dai, Xinyan Xiao, Hua Wu |
https://www.aclweb.org/anthology/P19-1135.pdf |
2019 |
ACL |
# optim-adam, 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, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq |
5 |
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition |
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok |
https://www.aclweb.org/anthology/P19-1336.pdf |
2019 |
ACL |
# optim-adam, init-glorot, train-mll, train-augment, arch-att, arch-selfatt, arch-residual, arch-transformer, struct-hmm, adv-train, latent-vae, task-textclass, task-lm, task-seq2seq |
4 |
Unsupervised Paraphrasing without Translation |
Aurko Roy, David Grangier |
https://www.aclweb.org/anthology/P19-1605.pdf |
2019 |
ACL |
# train-mll, arch-subword, comb-ensemble, adv-train, task-lm, task-seq2seq, task-alignment |
8 |
An Effective Approach to Unsupervised Machine Translation |
Mikel Artetxe, Gorka Labaka, Eneko Agirre |
https://www.aclweb.org/anthology/P19-1019.pdf |
2019 |
ACL |
# arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, adv-examp, adv-train, task-textclass, task-seq2seq |
1 |
Effective Adversarial Regularization for Neural Machine Translation |
Motoki Sato, Jun Suzuki, Shun Kiyono |
https://www.aclweb.org/anthology/P19-1020.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 |
# train-mll, arch-subword, pre-word2vec, pre-fasttext, adv-train, task-seq2seq, task-lexicon, task-alignment |
5 |
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces |
Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig |
https://www.aclweb.org/anthology/P19-1018.pdf |
2019 |
ACL |
# optim-adam, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, adv-train, task-spanlab, task-lm, task-seq2seq |
0 |
Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums |
Zi Chai, Xinyu Xing, Xiaojun Wan, Bo Huang |
https://www.aclweb.org/anthology/P19-1497.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 |
# train-mll, arch-lstm, arch-att, arch-coverage, struct-crf, adv-train, task-seq2seq, task-alignment |
0 |
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text |
Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti |
https://www.aclweb.org/anthology/P19-1343.pdf |
2019 |
ACL |
# optim-adam, train-mll, train-transfer, train-parallel, arch-gru, arch-subword, adv-train, task-seqlab, task-seq2seq, task-lexicon, task-alignment |
0 |
Better OOV Translation with Bilingual Terminology Mining |
Matthias Huck, Viktor Hangya, Alexander Fraser |
https://www.aclweb.org/anthology/P19-1581.pdf |
2019 |
ACL |
# optim-adam, 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, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, pre-fasttext, pre-bert, adv-train, task-lm, task-seq2seq, task-alignment |
0 |
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation |
Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma |
https://www.aclweb.org/anthology/D19-1071.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-cnn, arch-att, arch-selfatt, pre-glove, adv-examp, adv-train, task-textclass, task-seqlab, task-lm |
2 |
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation |
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli |
https://www.aclweb.org/anthology/D19-1419.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-lstm, arch-att, adv-train, task-lm |
0 |
Pun-GAN: Generative Adversarial Network for Pun Generation |
Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun |
https://www.aclweb.org/anthology/D19-1336.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, reg-stopping, arch-rnn, arch-lstm, arch-att, arch-gating, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation |
Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei |
https://www.aclweb.org/anthology/D19-1409.pdf |
2019 |
EMNLP |
# train-mll, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon |
1 |
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings |
Haozhou Wang, James Henderson, Paola Merlo |
https://www.aclweb.org/anthology/D19-1450.pdf |
2019 |
EMNLP |
# optim-adam, train-mtl, train-mll, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, pre-bert, adv-train, latent-topic, task-lexicon |
1 |
Contrastive Language Adaptation for Cross-Lingual Stance Detection |
Mitra Mohtarami, James Glass, Preslav Nakov |
https://www.aclweb.org/anthology/D19-1452.pdf |
2019 |
EMNLP |
# optim-sgd, optim-projection, reg-dropout, norm-layer, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, adv-train, latent-vae, task-condlm, task-seq2seq |
0 |
Semi-supervised Text Style Transfer: Cross Projection in Latent Space |
Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan |
https://www.aclweb.org/anthology/D19-1499.pdf |
2019 |
EMNLP |
# train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, struct-crf, adv-train, latent-vae, task-seqlab, task-seq2seq, task-lexicon |
1 |
Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables |
Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung |
https://www.aclweb.org/anthology/D19-1129.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation |
0 |
Hierarchically-Refined Label Attention Network for Sequence Labeling |
Leyang Cui, Yue Zhang |
https://www.aclweb.org/anthology/D19-1422.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, norm-gradient, arch-gru, arch-bigru, arch-att, adv-train, latent-vae, task-seq2seq |
0 |
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation |
Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang |
https://www.aclweb.org/anthology/D19-1511.pdf |
2019 |
EMNLP |
# 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 |
# optim-adam, arch-rnn, arch-lstm, arch-att, adv-train, loss-triplet, task-condlm, task-seq2seq |
0 |
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach |
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon |
https://www.aclweb.org/anthology/D19-1208.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, norm-layer, norm-batch, struct-crf, adv-train, task-textclass, task-seqlab |
0 |
Open Event Extraction from Online Text using a Generative Adversarial Network |
Rui Wang, Deyu Zhou, Yulan He |
https://www.aclweb.org/anthology/D19-1027.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-gru, arch-gating, arch-coverage, arch-transformer, pre-glove, adv-train, latent-vae, task-seq2seq, task-tree |
6 |
An End-to-End Generative Architecture for Paraphrase Generation |
Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin |
https://www.aclweb.org/anthology/D19-1309.pdf |
2019 |
EMNLP |
# 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 |
# train-mll, arch-subword, pre-fasttext, adv-train, task-lexicon |
0 |
Multilingual word translation using auxiliary languages |
Hagai Taitelbaum, Gal Chechik, Jacob Goldberger |
https://www.aclweb.org/anthology/D19-1134.pdf |
2019 |
EMNLP |
# optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq |
0 |
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information |
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee |
https://www.aclweb.org/anthology/D19-1232.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment |
0 |
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping |
Jian Ni, Radu Florian |
https://www.aclweb.org/anthology/D19-1038.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, search-beam, adv-train, task-lm, task-condlm, task-seq2seq, task-relation |
0 |
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation |
Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan |
https://www.aclweb.org/anthology/D19-1501.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-att, adv-examp, adv-train, task-condlm, task-seq2seq |
8 |
Attention is not not Explanation |
Sarah Wiegreffe, Yuval Pinter |
https://www.aclweb.org/anthology/D19-1002.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, search-beam, adv-train, task-seq2seq |
0 |
Towards Controllable and Personalized Review Generation |
Pan Li, Alexander Tuzhilin |
https://www.aclweb.org/anthology/D19-1319.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, adv-train, task-lm, task-condlm, task-seq2seq |
0 |
ARAML: A Stable Adversarial Training Framework for Text Generation |
Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu |
https://www.aclweb.org/anthology/D19-1436.pdf |
2019 |
EMNLP |
# optim-adam, 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 |
# optim-adam, init-glorot, norm-gradient, pool-mean, arch-rnn, arch-gru, arch-att, arch-coverage, search-beam, adv-train, latent-vae, task-seq2seq |
0 |
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model |
Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu |
https://www.aclweb.org/anthology/D19-1321.pdf |
2019 |
EMNLP |
# optim-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-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, optim-projection, arch-lstm, arch-cnn, arch-att, nondif-reinforce, adv-train, task-textpair |
0 |
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning |
Ruiping Li, Xiang Cheng |
https://www.aclweb.org/anthology/D19-1266.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-stopping, train-mll, train-transfer, arch-transformer, pre-elmo, pre-bert, adv-train, task-textclass, task-lm, task-seq2seq |
0 |
A Robust Self-Learning Framework for Cross-Lingual Text Classification |
Xin Dong, Gerard de Melo |
https://www.aclweb.org/anthology/D19-1658.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adam, train-mll, train-transfer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, comb-ensemble, adv-feat, adv-train, task-lm, task-seq2seq |
0 |
Pushing the Limits of Low-Resource Morphological Inflection |
Antonios Anastasopoulos, Graham Neubig |
https://www.aclweb.org/anthology/D19-1091.pdf |
2019 |
EMNLP |
# optim-adam, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-gating, pre-glove, adv-train, task-textpair, task-spanlab, meta-arch |
3 |
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning |
Yichen Jiang, Mohit Bansal |
https://www.aclweb.org/anthology/D19-1455.pdf |
2019 |
EMNLP |
# optim-sgd, optim-adadelta, reg-dropout, pool-max, arch-cnn, arch-att, arch-memo, adv-train, latent-vae |
0 |
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework |
Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu |
https://www.aclweb.org/anthology/D19-1031.pdf |
2019 |
EMNLP |
# optim-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-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 |
# arch-cnn, arch-att, arch-memo, arch-subword, pre-bert, adv-train, task-seqlab |
1 |
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction |
Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun |
https://www.aclweb.org/anthology/D19-3029.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, optim-projection, arch-rnn, arch-lstm, arch-gru, arch-att, adv-train, latent-vae, task-lm, task-seq2seq |
0 |
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training |
Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin |
https://www.aclweb.org/anthology/D19-1366.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-energy, adv-train |
0 |
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog |
Ryuichi Takanobu, Hanlin Zhu, Minlie Huang |
https://www.aclweb.org/anthology/D19-1010.pdf |
2019 |
EMNLP |
# reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, struct-crf, adv-train |
0 |
Emotion Detection with Neural Personal Discrimination |
Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang |
https://www.aclweb.org/anthology/D19-1552.pdf |
2019 |
EMNLP |
# train-mll, train-transfer, arch-lstm, pre-bert, adv-feat, adv-train |
0 |
Adversarial Removal of Demographic Attributes Revisited |
Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, Anders Søgaard |
https://www.aclweb.org/anthology/D19-1662.pdf |
2019 |
EMNLP |
# optim-adam, norm-gradient, arch-lstm, arch-att, adv-train, task-lm, task-seq2seq |
0 |
Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora |
Canasai Kruengkrai |
https://www.aclweb.org/anthology/D19-1659.pdf |
2019 |
EMNLP |
# reg-dropout, pool-max, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-word2vec, adv-train, task-textclass, task-textpair |
0 |
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction |
Yuyun Huang, Jinhua Du |
https://www.aclweb.org/anthology/D19-1037.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, reg-stopping, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm, task-seq2seq |
2 |
Certified Robustness to Adversarial Word Substitutions |
Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang |
https://www.aclweb.org/anthology/D19-1423.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-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, pre-word2vec, adv-train |
0 |
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction |
Xiang Deng, Huan Sun |
https://www.aclweb.org/anthology/D19-1039.pdf |
2019 |
EMNLP |
# optim-adam, arch-rnn, arch-lstm, arch-cnn, nondif-reinforce, adv-train, latent-vae, task-lm |
0 |
Learning Rhyming Constraints using Structured Adversaries |
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick |
https://www.aclweb.org/anthology/D19-1621.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, train-augment, arch-att, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-cloze |
1 |
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification |
Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang |
https://www.aclweb.org/anthology/D19-1496.pdf |
2019 |
EMNLP |
# arch-att, pre-word2vec, adv-train, task-seq2seq, task-relation, task-tree |
0 |
Generating Modern Poetry Automatically in Finnish |
Mika Hämäläinen, Khalid Alnajjar |
https://www.aclweb.org/anthology/D19-1617.pdf |
2019 |
EMNLP |
# arch-rnn, arch-lstm, arch-bilstm, adv-train, task-lm, task-seq2seq, task-relation, task-tree, task-graph |
0 |
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction |
Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi |
https://www.aclweb.org/anthology/D19-1414.pdf |
2019 |
EMNLP |
# optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-examp, adv-train, task-textpair, task-lm |
0 |
A Logic-Driven Framework for Consistency of Neural Models |
Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar |
https://www.aclweb.org/anthology/D19-1405.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-projection, train-mll, arch-subword, pre-fasttext, adv-train, latent-vae, loss-svd, task-lexicon |
1 |
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation |
Hagai Taitelbaum, Gal Chechik, Jacob Goldberger |
https://www.aclweb.org/anthology/D19-1363.pdf |
2019 |
EMNLP |
# optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, adv-train, task-lm, task-seq2seq |
0 |
Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification |
Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun |
https://www.aclweb.org/anthology/D19-1553.pdf |
2019 |
EMNLP |
# optim-adam, init-glorot, reg-dropout, reg-stopping, train-mll, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-seq2seq |
0 |
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification |
Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun |
https://www.aclweb.org/anthology/D19-1554.pdf |
2019 |
EMNLP |
# optim-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 |
# arch-lstm, arch-bilstm, arch-cnn, pre-fasttext, pre-glove, pre-bert, adv-examp, adv-train, task-textclass, task-spanlab, task-seq2seq |
3 |
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack |
Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston |
https://www.aclweb.org/anthology/D19-1461.pdf |
2019 |
EMNLP |
# optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm |
0 |
Neural Duplicate Question Detection without Labeled Training Data |
Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych |
https://www.aclweb.org/anthology/D19-1171.pdf |
2019 |
NAA-CL |
# optim-projection, reg-dropout, train-mll, arch-lstm, adv-train, task-relation, task-tree, task-alignment |
1 |
Typological Features for Multilingual Delexicalised Dependency Parsing |
Manon Scholivet, Franck Dary, Alexis Nasr, Benoit Favre, Carlos Ramisch |
https://www.aclweb.org/anthology/N19-1393.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment |
0 |
Zero-Shot Cross-Lingual Opinion Target Extraction |
Soufian Jebbara, Philipp Cimiano |
https://www.aclweb.org/anthology/N19-1257.pdf |
2019 |
NAA-CL |
# optim-sgd, reg-dropout, arch-cnn, arch-att, arch-selfatt, adv-train |
5 |
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions |
Zhi-Xiu Ye, Zhen-Hua Ling |
https://www.aclweb.org/anthology/N19-1288.pdf |
2019 |
NAA-CL |
# reg-dropout, arch-rnn, arch-lstm, arch-att, search-beam, adv-train, latent-vae, task-condlm, task-seq2seq |
5 |
Answer-based Adversarial Training for Generating Clarification Questions |
Sudha Rao, Hal Daumé III |
https://www.aclweb.org/anthology/N19-1013.pdf |
2019 |
NAA-CL |
# norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm, task-condlm, task-seq2seq |
5 |
Evaluating Text GANs as Language Models |
Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant |
https://www.aclweb.org/anthology/N19-1233.pdf |
2019 |
NAA-CL |
# optim-adam, reg-dropout, pool-max, arch-cnn, arch-att, adv-train, latent-vae, task-textclass |
0 |
Exploiting Noisy Data in Distant Supervision Relation Classification |
Kaijia Yang, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen |
https://www.aclweb.org/anthology/N19-1325.pdf |
2019 |
NAA-CL |
# 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 |
# optim-adam, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-relation |
51 |
Linguistic Knowledge and Transferability of Contextual Representations |
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith |
https://www.aclweb.org/anthology/N19-1112.pdf |
2019 |
NAA-CL |
# reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq |
3 |
Adversarial Training for Weakly Supervised Event Detection |
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li |
https://www.aclweb.org/anthology/N19-1105.pdf |
2019 |
NAA-CL |
# train-mtl, train-mll, train-transfer, arch-rnn, arch-gru, arch-att, arch-selfatt, adv-train, task-relation, task-tree |
1 |
Robust Semantic Parsing with Adversarial Learning for Domain Generalization |
Gabriel Marzinotto, Géraldine Damnati, Frédéric Béchet, Benoît Favre |
https://www.aclweb.org/anthology/N19-2021.pdf |
2019 |
NAA-CL |
# optim-sgd, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, comb-ensemble, adv-train, task-seqlab, task-seq2seq |
1 |
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging |
Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi, Fatiha Sadat |
https://www.aclweb.org/anthology/N19-1416.pdf |
2019 |
NAA-CL |
# 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, reg-dropout, arch-lstm, arch-att, arch-gating, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, adv-train, task-relation |
3 |
Learning to Denoise Distantly-Labeled Data for Entity Typing |
Yasumasa Onoe, Greg Durrett |
https://www.aclweb.org/anthology/N19-1250.pdf |
2019 |
NAA-CL |
# optim-projection, reg-patience, train-mll, arch-lstm, arch-att, pre-fasttext, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment |
3 |
Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs |
Geert Heyman, Bregt Verreet, Ivan Vulić, Marie-Francine Moens |
https://www.aclweb.org/anthology/N19-1188.pdf |
2019 |
NAA-CL |
# optim-projection, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, pre-elmo, struct-crf, adv-train, task-seqlab, task-relation |
10 |
A general framework for information extraction using dynamic span graphs |
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi |
https://www.aclweb.org/anthology/N19-1308.pdf |
2019 |
NAA-CL |
# arch-rnn, arch-att, search-beam, adv-train, task-lm, task-condlm, task-seq2seq |
14 |
Unifying Human and Statistical Evaluation for Natural Language Generation |
Tatsunori Hashimoto, Hugh Zhang, Percy Liang |
https://www.aclweb.org/anthology/N19-1169.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, reg-dropout, reg-stopping, norm-gradient, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, struct-crf, adv-examp, adv-train, task-textclass, task-lm, task-condlm |
3 |
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems |
Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych |
https://www.aclweb.org/anthology/N19-1165.pdf |
2019 |
NAA-CL |
# optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-greedy, nondif-gumbelsoftmax, adv-train, task-lm, task-condlm, task-seq2seq |
2 |
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation |
Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do Omri, Ahmad Rashid |
https://www.aclweb.org/anthology/N19-1234.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, pre-word2vec, pre-glove, pre-skipthought, pre-elmo, struct-crf, adv-train, latent-vae, task-textclass, task-lm |
6 |
Dialogue Act Classification with Context-Aware Self-Attention |
Vipul Raheja, Joel Tetreault |
https://www.aclweb.org/anthology/N19-1373.pdf |
2019 |
NAA-CL |
# optim-sgd, optim-adam, arch-lstm, arch-att, arch-memo, adv-train, task-textclass, task-seqlab, task-spanlab, task-seq2seq |
0 |
Document-Level Event Factuality Identification via Adversarial Neural Network |
Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
https://www.aclweb.org/anthology/N19-1287.pdf |
2019 |
NAA-CL |
# optim-adam, optim-projection, train-mtl, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm |
6 |
Massively Multilingual Adversarial Speech Recognition |
Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky |
https://www.aclweb.org/anthology/N19-1009.pdf |
2019 |
NAA-CL |
# optim-adam, norm-batch, arch-lstm, arch-att, arch-bilinear, adv-feat, adv-train, task-condlm, task-seq2seq |
0 |
The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding |
Yiqun Yao, Jiaming Xu, Bo Xu |
https://www.aclweb.org/anthology/N19-1266.pdf |
2019 |
NAA-CL |
# 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 |