| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 2 | Incremental Transformer with Deliberation Decoder for Document Grounded Conversations | Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou | https://www.aclweb.org/anthology/P19-1002.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, comb-ensemble, search-beam, pre-bert, latent-vae, task-condlm, task-seq2seq | 1 | Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems | Hung Le, Doyen Sahoo, Nancy Chen, Steven Hoi | https://www.aclweb.org/anthology/P19-1564.pdf |
| 2019 | ACL | # 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 | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq | 3 | E3: Entailment-driven Extracting and Editing for Conversational Machine Reading | Victor Zhong, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1223.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-word2vec, task-lm, task-condlm, task-seq2seq | 1 | Attention-based Conditioning Methods for External Knowledge Integration | Katerina Margatina, Christos Baziotis, Alexandros Potamianos | https://www.aclweb.org/anthology/P19-1385.pdf |
| 2019 | ACL | # 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-adagrad, reg-dropout, norm-batch, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-lm, task-seq2seq | 0 | Training Hybrid Language Models by Marginalizing over Segmentations | Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin | https://www.aclweb.org/anthology/P19-1143.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 | # reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-relation | 8 | Head-Driven Phrase Structure Grammar Parsing on Penn Treebank | Junru Zhou, Hai Zhao | https://www.aclweb.org/anthology/P19-1230.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq | 3 | Imitation Learning for Non-Autoregressive Neural Machine Translation | Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun | https://www.aclweb.org/anthology/P19-1125.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, task-textpair, task-lm, task-seq2seq | 4 | Multimodal Transformer for Unaligned Multimodal Language Sequences | Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov | https://www.aclweb.org/anthology/P19-1656.pdf |
| 2019 | ACL | # optim-sgd, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-seqlab, task-seq2seq | 0 | End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories | Rui Mao, Chenghua Lin, Frank Guerin | https://www.aclweb.org/anthology/P19-1378.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, pre-elmo, task-seqlab, task-lm, task-tree | 2 | End-to-end Deep Reinforcement Learning Based Coreference Resolution | Hongliang Fei, Xu Li, Dingcheng Li, Ping Li | https://www.aclweb.org/anthology/P19-1064.pdf |
| 2019 | ACL | # reg-labelsmooth, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, latent-vae, task-seq2seq | 4 | Syntactically Supervised Transformers for Faster Neural Machine Translation | Nader Akoury, Kalpesh Krishna, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1122.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seq2seq | 1 | Dense Procedure Captioning in Narrated Instructional Videos | Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou | https://www.aclweb.org/anthology/P19-1641.pdf |
| 2019 | ACL | # optim-adam, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, task-textpair | 0 | Predicting Human Activities from User-Generated Content | Steven Wilson, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1245.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-fasttext, pre-glove, latent-vae, task-relation | 1 | An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis | Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier | https://www.aclweb.org/anthology/P19-1048.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-relation, task-graph | 2 | Graph-based Dependency Parsing with Graph Neural Networks | Tao Ji, Yuanbin Wu, Man Lan | https://www.aclweb.org/anthology/P19-1237.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-selfatt, arch-coverage, latent-vae, task-textpair, task-lm, task-condlm, task-relation, task-tree | 1 | Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming | Caio Corro, Ivan Titov | https://www.aclweb.org/anthology/P19-1551.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-gnn, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, task-textclass, task-spanlab, task-seq2seq | 6 | Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs | Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou | https://www.aclweb.org/anthology/P19-1260.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 | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, comb-ensemble, task-seq2seq, task-tree | 0 | Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions | Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang | https://www.aclweb.org/anthology/P19-1619.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, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-bert, task-spanlab, task-seq2seq | 0 | Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension | Zhengyuan Liu, Nancy Chen | https://www.aclweb.org/anthology/P19-1543.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, pre-elmo, pre-bert, struct-crf, task-textclass | 12 | Joint Slot Filling and Intent Detection via Capsule Neural Networks | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip Yu | https://www.aclweb.org/anthology/P19-1519.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 3 | On the Word Alignment from Neural Machine Translation | Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi | https://www.aclweb.org/anthology/P19-1124.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, train-mll, pool-mean, arch-gnn, arch-att, arch-selfatt, arch-subword, loss-triplet | 7 | Multi-Channel Graph Neural Network for Entity Alignment | Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/P19-1140.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-relation | 2 | Multi-grained Named Entity Recognition | Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu | https://www.aclweb.org/anthology/P19-1138.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, pre-bert, adv-examp, latent-vae, task-spanlab, task-seq2seq | 3 | Learning to Ask Unanswerable Questions for Machine Reading Comprehension | Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/P19-1415.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, task-textclass, task-lm | 9 | Multilingual Constituency Parsing with Self-Attention and Pre-Training | Nikita Kitaev, Steven Cao, Dan Klein | https://www.aclweb.org/anthology/P19-1340.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, struct-crf, task-textclass | 0 | Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes | Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins, Vivek Srikumar | https://www.aclweb.org/anthology/P19-1563.pdf |
| 2019 | ACL | # optim-projection, arch-lstm, arch-att, arch-selfatt, struct-crf, task-seqlab, task-relation | 3 | Crowdsourcing and Aggregating Nested Markable Annotations | Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio | https://www.aclweb.org/anthology/P19-1077.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-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, comb-ensemble, search-beam, search-viterbi, pre-word2vec, pre-elmo, pre-bert, task-lm | 0 | Cross-Domain Generalization of Neural Constituency Parsers | Daniel Fried, Nikita Kitaev, Dan Klein | https://www.aclweb.org/anthology/P19-1031.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, pre-glove, task-spanlab, task-seq2seq | 0 | Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text | Jianxing Yu, Zhengjun Zha, Jian Yin | https://www.aclweb.org/anthology/P19-1217.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, loss-margin, task-spanlab, task-lm | 2 | Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension | An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li | https://www.aclweb.org/anthology/P19-1226.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq | 5 | Sparse Sequence-to-Sequence Models | Ben Peters, Vlad Niculae, André F. T. Martins | https://www.aclweb.org/anthology/P19-1146.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-textclass, task-extractive, task-lm, task-seq2seq | 4 | Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model | Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir Radev | https://www.aclweb.org/anthology/P19-1102.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, task-spanlab, task-condlm | 3 | Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives | Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang | https://www.aclweb.org/anthology/P19-1486.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq | 5 | Simultaneous Translation with Flexible Policy via Restricted Imitation Learning | Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang | https://www.aclweb.org/anthology/P19-1582.pdf |
| 2019 | ACL | # reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, task-seq2seq | 1 | CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks | Roberto Dessì, Marco Baroni | https://www.aclweb.org/anthology/P19-1381.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 | # optim-adam, arch-att, arch-selfatt, arch-subword, arch-transformer, task-lm, task-seq2seq | 30 | Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned | Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/P19-1580.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, comb-ensemble, pre-glove, task-textclass, task-condlm, task-seq2seq | 10 | Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog | Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1648.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, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-elmo, pre-bert, task-seqlab, task-spanlab, task-seq2seq | 0 | MCˆ2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension | Xuanyu Zhang | https://www.aclweb.org/anthology/P19-1622.pdf |
| 2019 | ACL | # optim-projection, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 8 | STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework | Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/P19-1289.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, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, latent-vae, task-lm, task-seq2seq | 2 | Improving Abstractive Document Summarization with Salient Information Modeling | Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang | https://www.aclweb.org/anthology/P19-1205.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, adv-examp, task-textclass, task-seq2seq | 2 | On the Robustness of Self-Attentive Models | Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh | https://www.aclweb.org/anthology/P19-1147.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm | 7 | Multi-hop Reading Comprehension through Question Decomposition and Rescoring | Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/P19-1613.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, norm-layer, train-augment, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, search-greedy, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, task-tree, task-graph | 2 | Generating Logical Forms from Graph Representations of Text and Entities | Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun | https://www.aclweb.org/anthology/P19-1010.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, train-augment, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 7 | Learning Deep Transformer Models for Machine Translation | Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao | https://www.aclweb.org/anthology/P19-1176.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, pre-glove, task-tree | 0 | Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader | Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang | https://www.aclweb.org/anthology/P19-1417.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-seq2seq | 4 | Assessing the Ability of Self-Attention Networks to Learn Word Order | Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu | https://www.aclweb.org/anthology/P19-1354.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-lm, task-condlm, task-seq2seq | 1 | Informative Image Captioning with External Sources of Information | Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut | https://www.aclweb.org/anthology/P19-1650.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, optim-projection, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textpair, task-lm | 20 | What Does BERT Learn about the Structure of Language? | Ganesh Jawahar, Benoît Sagot, Djamé Seddah | https://www.aclweb.org/anthology/P19-1356.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, arch-lstm, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seqlab, task-lm, task-seq2seq | 5 | Lattice Transformer for Speech Translation | Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan | https://www.aclweb.org/anthology/P19-1649.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-rnn, arch-att, arch-selfatt, pre-bert, task-spanlab | 8 | Compositional Questions Do Not Necessitate Multi-hop Reasoning | Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1416.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-selfatt, search-beam, adv-examp, task-lm, task-condlm, task-seq2seq | 1 | TIGS: An Inference Algorithm for Text Infilling with Gradient Search | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv | https://www.aclweb.org/anthology/P19-1406.pdf |
| 2019 | ACL | # reg-dropout, norm-batch, norm-gradient, activ-relu, arch-rnn, arch-lstm, arch-gcnn, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq, meta-arch | 194 | Transformer-XL: Attentive Language Models beyond a Fixed-Length Context | Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, Ruslan Salakhutdinov | https://www.aclweb.org/anthology/P19-1285.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, pool-max, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-condlm, task-seq2seq | 1 | Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection | Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu | https://www.aclweb.org/anthology/P19-1006.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, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seqlab, task-seq2seq | 0 | Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title | Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang, Man Lan | https://www.aclweb.org/anthology/P19-1514.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon | 2 | Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts | Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith | https://www.aclweb.org/anthology/P19-1264.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-mtl, train-mll, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, search-beam, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm | 3 | GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling | Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1233.pdf |
| 2019 | ACL | # optim-adam, 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 | # optim-adam, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, latent-topic, task-seq2seq | 2 | Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information | Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun | https://www.aclweb.org/anthology/P19-1257.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 | # optim-adam, init-glorot, reg-decay, arch-gnn, arch-att, arch-selfatt, arch-memo, arch-coverage, pre-bert, task-spanlab, task-lm | 7 | Cognitive Graph for Multi-Hop Reading Comprehension at Scale | Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang | https://www.aclweb.org/anthology/P19-1259.pdf |
| 2019 | ACL | # optim-adam, init-glorot, norm-batch, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, task-textclass, task-textpair, task-lm, task-seq2seq | 4 | Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks | Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui | https://www.aclweb.org/anthology/P19-1145.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, task-condlm, task-seq2seq | 1 | Negative Lexically Constrained Decoding for Paraphrase Generation | Tomoyuki Kajiwara | https://www.aclweb.org/anthology/P19-1607.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-paravec, pre-bert, adv-examp, task-spanlab | 2 | Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li | https://www.aclweb.org/anthology/P19-1221.pdf |
| 2019 | ACL | # reg-labelsmooth, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, search-beam, pre-word2vec, task-seqlab, task-seq2seq, task-relation | 0 | Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages | Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri, Pawan Goyal | https://www.aclweb.org/anthology/P19-1111.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, adv-examp, task-spanlab, task-seq2seq, task-alignment | 1 | Improving the Robustness of Question Answering Systems to Question Paraphrasing | Wee Chung Gan, Hwee Tou Ng | https://www.aclweb.org/anthology/P19-1610.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-worddropout, reg-stopping, train-mtl, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm, task-condlm | 1 | Neural Legal Judgment Prediction in English | Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras | https://www.aclweb.org/anthology/P19-1424.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-margin, task-lm, task-seq2seq | 0 | Self-Supervised Neural Machine Translation | Dana Ruiter, Cristina España-Bonet, Josef van Genabith | https://www.aclweb.org/anthology/P19-1178.pdf |
| 2019 | ACL | # optim-adam, train-curriculum, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, task-lm, task-relation | 0 | Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems | Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/P19-1370.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-elmo, pre-bert, struct-hmm, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization | Xingxing Zhang, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1499.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-lm, task-seq2seq | 1 | Attention Is (not) All You Need for Commonsense Reasoning | Tassilo Klein, Moin Nabi | https://www.aclweb.org/anthology/P19-1477.pdf |
| 2019 | ACL | # optim-amsgrad, init-glorot, reg-dropout, reg-labelsmooth, norm-gradient, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, arch-bilinear, search-beam, task-lm, task-condlm, task-seq2seq | 0 | Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System | Hardik Chauhan, Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1540.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-greedy, search-beam, nondif-reinforce, latent-vae, task-seq2seq | 3 | Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation | Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1288.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, latent-topic, task-textclass, task-seqlab, task-seq2seq, task-graph | 2 | Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model | Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu, Xu Sun | https://www.aclweb.org/anthology/P19-1479.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, reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, pre-fasttext, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Fine-Grained Spoiler Detection from Large-Scale Review Corpora | Mengting Wan, Rishabh Misra, Ndapa Nakashole, Julian McAuley | https://www.aclweb.org/anthology/P19-1248.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-bilinear, pre-bert, nondif-minrisk, nondif-reinforce, loss-nce, task-spanlab, task-lm, task-relation | 7 | Entity-Relation Extraction as Multi-Turn Question Answering | Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li | https://www.aclweb.org/anthology/P19-1129.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-att, arch-selfatt, arch-transformer, search-beam, nondif-reinforce, task-seq2seq | 0 | Look Harder: A Neural Machine Translation Model with Hard Attention | Sathish Reddy Indurthi, Insoo Chung, Sangha Kim | https://www.aclweb.org/anthology/P19-1290.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-sgd, optim-projection, reg-dropout, reg-stopping, reg-labelsmooth, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, pre-bert, task-textclass, task-spanlab, task-lm, task-tree | 5 | Training Neural Response Selection for Task-Oriented Dialogue Systems | Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su | https://www.aclweb.org/anthology/P19-1536.pdf |
| 2019 | ACL | # optim-adam, train-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-adam, reg-dropout, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-glove, pre-bert, task-spanlab, task-seq2seq | 4 | Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading | Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao | https://www.aclweb.org/anthology/P19-1539.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, reg-stopping, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, latent-vae, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-tree | 2 | Unsupervised Question Answering by Cloze Translation | Patrick Lewis, Ludovic Denoyer, Sebastian Riedel | https://www.aclweb.org/anthology/P19-1484.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, task-textpair, task-seq2seq | 1 | ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation | Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng | https://www.aclweb.org/anthology/P19-1362.pdf |
| 2019 | ACL | # reg-dropout, reg-patience, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-textclass, task-lm | 1 | Large-Scale Multi-Label Text Classification on EU Legislation | Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, Ion Androutsopoulos | https://www.aclweb.org/anthology/P19-1636.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-adadelta, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, arch-subword, pre-glove, pre-bert, struct-crf, task-seqlab, task-spanlab, task-lm, task-seq2seq | 1 | A Lightweight Recurrent Network for Sequence Modeling | Biao Zhang, Rico Sennrich | https://www.aclweb.org/anthology/P19-1149.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, 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-adam, optim-projection, reg-stopping, train-mtl, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-transformer, search-beam, task-condlm, task-seq2seq | 4 | Distilling Translations with Visual Awareness | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/P19-1653.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-spanlab | 3 | Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension | Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal | https://www.aclweb.org/anthology/P19-1261.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-adam, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-energy, arch-transformer, search-beam, task-seq2seq | 2 | Self-Attentional Models for Lattice Inputs | Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel | https://www.aclweb.org/anthology/P19-1115.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 | # reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textpair | 0 | Recognising Agreement and Disagreement between Stances with Reason Comparing Networks | Chang Xu, Cecile Paris, Surya Nepal, Ross Sparks | https://www.aclweb.org/anthology/P19-1460.pdf |
| 2019 | ACL | # optim-adam, optim-projection, norm-layer, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-seq2seq | 9 | Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention | Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang | https://www.aclweb.org/anthology/P19-1360.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, reg-worddropout, arch-rnn, arch-att, arch-selfatt, arch-transformer, pre-fasttext, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq | 6 | Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation | Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1601.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, comb-ensemble, pre-glove, task-seq2seq | 1 | A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation | Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin | https://www.aclweb.org/anthology/P19-1256.pdf |
| 2019 | ACL | # arch-att, arch-selfatt, pre-elmo, pre-bert | 0 | PTB Graph Parsing with Tree Approximation | Yoshihide Kato, Shigeki Matsubara | https://www.aclweb.org/anthology/P19-1530.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, norm-layer, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert | 8 | Matching the Blanks: Distributional Similarity for Relation Learning | Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, Tom Kwiatkowski | https://www.aclweb.org/anthology/P19-1279.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, train-mtl, train-mll, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq | 2 | A Multi-Task Architecture on Relevance-based Neural Query Translation | Sheikh Muhammad Sarwar, Hamed Bonab, James Allan | https://www.aclweb.org/anthology/P19-1639.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, reg-norm, norm-gradient, train-mtl, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, pre-glove, task-seq2seq, task-graph | 0 | Tree Communication Models for Sentiment Analysis | Yuan Zhang, Yue Zhang | https://www.aclweb.org/anthology/P19-1342.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, reg-dropout, pool-max, pool-kmax, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-bilinear, task-seq2seq | 1 | BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization | Kai Wang, Xiaojun Quan, Rui Wang | https://www.aclweb.org/anthology/P19-1207.pdf |
| 2019 | ACL | # optim-adam, init-glorot, norm-layer, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Text Categorization by Learning Predominant Sense of Words as Auxiliary Task | Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto | https://www.aclweb.org/anthology/P19-1105.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, task-textclass, task-extractive, task-lm, task-seq2seq | 11 | Is Attention Interpretable? | Sofia Serrano, Noah A. Smith | https://www.aclweb.org/anthology/P19-1282.pdf |
| 2019 | ACL | # reg-decay, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree | 8 | Explain Yourself! Leveraging Language Models for Commonsense Reasoning | Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/P19-1487.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, nondif-reinforce, task-spanlab | 1 | Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data | Moonsu Han, Minki Kang, Hyunwoo Jung, Sung Ju Hwang | https://www.aclweb.org/anthology/P19-1434.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-word2vec, task-seqlab, task-seq2seq | 0 | Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation | Cao Liu, Shizhu He, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/P19-1367.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, task-seq2seq | 5 | Scoring Sentence Singletons and Pairs for Abstractive Summarization | Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu | https://www.aclweb.org/anthology/P19-1209.pdf |
| 2019 | ACL | # init-glorot, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-glove, pre-elmo, task-textclass, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation | 5 | Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks | Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar | https://www.aclweb.org/anthology/P19-1320.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-norm, reg-labelsmooth, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-seqlab, task-seq2seq, task-relation | 3 | Leveraging Local and Global Patterns for Self-Attention Networks | Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao | https://www.aclweb.org/anthology/P19-1295.pdf |
| 2019 | ACL | # optim-adam, arch-att, arch-selfatt, arch-transformer, pre-bert, task-textpair, task-seqlab, task-graph | 4 | Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction | Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, Debasis Ganguly | https://www.aclweb.org/anthology/P19-1513.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, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, search-beam, pre-glove, pre-bert, latent-vae, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 0 | A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching | Jihun Choi, Taeuk Kim, Sang-goo Lee | https://www.aclweb.org/anthology/P19-1469.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | Improving Multi-turn Dialogue Modelling with Utterance ReWriter | Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou | https://www.aclweb.org/anthology/P19-1003.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, reg-stopping, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, task-lm | 13 | COMET: Commonsense Transformers for Automatic Knowledge Graph Construction | Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi | https://www.aclweb.org/anthology/P19-1470.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 | # 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-adam, optim-adadelta, reg-dropout, pool-max, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-beam, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-seq2seq | 4 | Multi-Hop Paragraph Retrieval for Open-Domain Question Answering | Yair Feldman, Ran El-Yaniv | https://www.aclweb.org/anthology/P19-1222.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, struct-crf, adv-examp, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 5 | Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition | Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok | https://www.aclweb.org/anthology/P19-1336.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mll, train-augment, arch-att, arch-selfatt, arch-residual, arch-transformer, struct-hmm, adv-train, latent-vae, task-textclass, task-lm, task-seq2seq | 4 | Unsupervised Paraphrasing without Translation | Aurko Roy, David Grangier | https://www.aclweb.org/anthology/P19-1605.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-memo, pre-word2vec, pre-elmo, pre-bert, task-textclass | 4 | One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues | Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/P19-1001.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-elmo, pre-bert, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze | 27 | ERNIE: Enhanced Language Representation with Informative Entities | Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu | https://www.aclweb.org/anthology/P19-1139.pdf |
| 2019 | ACL | # train-mll, 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 | # arch-lstm, arch-gru, arch-treelstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, search-beam, pre-fasttext, pre-bert, task-seq2seq | 2 | Generating Diverse Translations with Sentence Codes | Raphael Shu, Hideki Nakayama, Kyunghyun Cho | https://www.aclweb.org/anthology/P19-1177.pdf |
| 2019 | ACL | # arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-copy, arch-bilinear, arch-coverage, search-beam, task-lm, task-condlm, task-seq2seq | 2 | PaperRobot: Incremental Draft Generation of Scientific Ideas | Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan | https://www.aclweb.org/anthology/P19-1191.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-gating, arch-transformer, comb-ensemble, pre-fasttext, task-spanlab, task-seq2seq | 1 | Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension | Yimeng Zhuang, Huadong Wang | https://www.aclweb.org/anthology/P19-1218.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 | # arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, pre-bert, latent-topic, task-lm | 0 | Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements | Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva, Andy E. Fano | https://www.aclweb.org/anthology/P19-1114.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-selfatt, arch-gating, arch-memo, arch-transformer, task-lm, task-seq2seq, task-alignment, meta-arch | 1 | Improving Neural Language Models by Segmenting, Attending, and Predicting the Future | Hongyin Luo, Lan Jiang, Yonatan Belinkov, James Glass | https://www.aclweb.org/anthology/P19-1144.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 | # optim-adam, reg-norm, train-mtl, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-lm | 0 | EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition | Subhradeep Kayal, George Tsatsaronis | https://www.aclweb.org/anthology/P19-1445.pdf |
| 2019 | ACL | # 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 | # optim-adam, optim-projection, init-glorot, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, task-condlm, task-seq2seq | 6 | Attention Guided Graph Convolutional Networks for Relation Extraction | Zhijiang Guo, Yan Zhang, Wei Lu | https://www.aclweb.org/anthology/P19-1024.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-selfatt, struct-crf, nondif-reinforce, task-seqlab, task-condlm | 0 | A Prism Module for Semantic Disentanglement in Name Entity Recognition | Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li | https://www.aclweb.org/anthology/P19-1532.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, norm-gradient, train-mtl, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-gating, task-seq2seq, task-relation, task-tree | 3 | Symbolic Inductive Bias for Visually Grounded Learning of Spoken Language | Grzegorz Chrupała | https://www.aclweb.org/anthology/P19-1647.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-seqlab, task-lm, task-seq2seq, task-relation, meta-arch | 76 | Energy and Policy Considerations for Deep Learning in NLP | Emma Strubell, Ananya Ganesh, Andrew McCallum | https://www.aclweb.org/anthology/P19-1355.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-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 | # arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, task-seq2seq, task-tree | 5 | Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing | Ben Bogin, Jonathan Berant, Matt Gardner | https://www.aclweb.org/anthology/P19-1448.pdf |
| 2019 | ACL | # optim-adagrad, init-glorot, norm-gradient, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, pre-glove, task-textclass, task-seq2seq | 1 | Evaluating Discourse in Structured Text Representations | Elisa Ferracane, Greg Durrett, Junyi Jessy Li, Katrin Erk | https://www.aclweb.org/anthology/P19-1062.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, task-spanlab, task-lm, task-seq2seq | 1 | Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling | Yifan Gao, Piji Li, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/P19-1480.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, reg-patience, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-textpair, task-lm, task-seq2seq | 7 | Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study | Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar, Yoshua Bengio | https://www.aclweb.org/anthology/P19-1004.pdf |
| 2019 | ACL | # optim-adam, optim-adagrad, reg-dropout, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-paravec, task-seq2seq | 9 | Hierarchical Transformers for Multi-Document Summarization | Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/P19-1500.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mll, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-seq2seq | 6 | When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/P19-1116.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, struct-crf, task-seq2seq, task-relation, task-tree | 1 | How to Best Use Syntax in Semantic Role Labelling | Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang | https://www.aclweb.org/anthology/P19-1529.pdf |
| 2019 | ACL | # train-augment, train-parallel, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-glove, pre-bert, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Self-Attention Architectures for Answer-Agnostic Neural Question Generation | Thomas Scialom, Benjamin Piwowarski, Jacopo Staiano | https://www.aclweb.org/anthology/P19-1604.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, arch-att, arch-selfatt, arch-transformer, task-lm, task-seq2seq | 11 | Adaptive Attention Span in Transformers | Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin | https://www.aclweb.org/anthology/P19-1032.pdf |
| 2019 | EMNLP | # arch-att, arch-selfatt, latent-topic, task-lm | 0 | CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums | Ella Rabinovich, Masih Sultani, Suzanne Stevenson | https://www.aclweb.org/anthology/D19-1484.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, pre-bert, adv-examp, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models | Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/D19-3002.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 | # init-glorot, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, latent-vae, task-lm, task-seq2seq | 0 | Parallel Iterative Edit Models for Local Sequence Transduction | Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla | https://www.aclweb.org/anthology/D19-1435.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq | 1 | NCLS: Neural Cross-Lingual Summarization | Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong | https://www.aclweb.org/anthology/D19-1302.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, comb-ensemble, pre-bert, adv-examp, task-spanlab | 0 | QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization | Yi-Ting Yeh, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1333.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-coverage, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-relation, task-tree | 0 | Syntax-aware Multilingual Semantic Role Labeling | Shexia He, Zuchao Li, Hai Zhao | https://www.aclweb.org/anthology/D19-1538.pdf |
| 2019 | EMNLP | # reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-glove, task-textclass | 0 | Improving Relation Extraction with Knowledge-attention | Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li | https://www.aclweb.org/anthology/D19-1022.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 | # pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-skipthought, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze | 0 | UER: An Open-Source Toolkit for Pre-training Models | Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du | https://www.aclweb.org/anthology/D19-3041.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-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-glove, task-condlm | 5 | Dual Attention Networks for Visual Reference Resolution in Visual Dialog | Gi-Cheon Kang, Jaeseo Lim, Byoung-Tak Zhang | https://www.aclweb.org/anthology/D19-1209.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, reg-decay, reg-labelsmooth, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-lm, task-seq2seq, task-alignment | 0 | Jointly Learning to Align and Translate with Transformer Models | Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik | https://www.aclweb.org/anthology/D19-1453.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-elmo, pre-bert, loss-svd, task-lm | 0 | Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation | Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu | https://www.aclweb.org/anthology/D19-1640.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, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-gating, arch-coverage, pre-fasttext, pre-bert, task-spanlab, task-lm | 1 | Interactive Language Learning by Question Answering | Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler | https://www.aclweb.org/anthology/D19-1280.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 0 | Encoders Help You Disambiguate Word Senses in Neural Machine Translation | Gongbo Tang, Rico Sennrich, Joakim Nivre | https://www.aclweb.org/anthology/D19-1149.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, struct-crf, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Entity Projection via Machine Translation for Cross-Lingual NER | Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton | https://www.aclweb.org/anthology/D19-1100.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-lstm, arch-att, arch-selfatt, pre-glove, task-spanlab | 0 | Ranking and Sampling in Open-Domain Question Answering | Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang, Dan Meng | https://www.aclweb.org/anthology/D19-1245.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 | # arch-rnn, arch-lstm, arch-recnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq | 2 | Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu | https://www.aclweb.org/anthology/D19-1135.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-layer, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, search-beam, struct-crf, task-lm, task-seq2seq | 0 | Efficient Convolutional Neural Networks for Diacritic Restoration | Sawsan Alqahtani, Ajay Mishra, Mona Diab | https://www.aclweb.org/anthology/D19-1151.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-augment, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree | 0 | Do NLP Models Know Numbers? Probing Numeracy in Embeddings | Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner | https://www.aclweb.org/anthology/D19-1534.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-lm | 1 | Quantity doesn’t buy quality syntax with neural language models | Marten van Schijndel, Aaron Mueller, Tal Linzen | https://www.aclweb.org/anthology/D19-1592.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-layer, train-mll, pool-mean, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-spanlab, task-lm, task-seq2seq | 0 | Cross-Lingual Machine Reading Comprehension | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu | https://www.aclweb.org/anthology/D19-1169.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, train-mtl, train-mll, train-active, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer, search-viterbi, pre-glove, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation | 0 | Hierarchically-Refined Label Attention Network for Sequence Labeling | Leyang Cui, Yue Zhang | https://www.aclweb.org/anthology/D19-1422.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-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, optim-projection, norm-layer, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, task-seq2seq | 1 | Synchronously Generating Two Languages with Interactive Decoding | Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu, Chengqing Zong | https://www.aclweb.org/anthology/D19-1330.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, pre-bert, task-textclass, task-seqlab, task-lm, task-seq2seq | 0 | Subword Language Model for Query Auto-Completion | Gyuwan Kim | https://www.aclweb.org/anthology/D19-1507.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, activ-tanh, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-nce, task-seq2seq, task-relation | 0 | Minimally Supervised Learning of Affective Events Using Discourse Relations | Jun Saito, Yugo Murawaki, Sadao Kurohashi | https://www.aclweb.org/anthology/D19-1581.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, reg-stopping, train-mtl, train-mll, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-lm, task-seq2seq | 0 | One Model to Learn Both: Zero Pronoun Prediction and Translation | Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi | https://www.aclweb.org/anthology/D19-1085.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-lm | 0 | DENS: A Dataset for Multi-class Emotion Analysis | Chen Liu, Muhammad Osama, Anderson De Andrade | https://www.aclweb.org/anthology/D19-1656.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-elmo, struct-crf, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semi-Supervised Semantic Role Labeling with Cross-View Training | Rui Cai, Mirella Lapata | https://www.aclweb.org/anthology/D19-1094.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq | 0 | Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao | https://www.aclweb.org/anthology/D19-1247.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, optim-projection, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations | Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan | https://www.aclweb.org/anthology/D19-1533.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, train-mll, train-active, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-lm, task-seq2seq, task-alignment | 0 | Learning to Copy for Automatic Post-Editing | Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun | https://www.aclweb.org/anthology/D19-1634.pdf |
| 2019 | EMNLP | # optim-sgd, arch-lstm, arch-att, arch-selfatt, pre-word2vec, pre-bert, task-textclass, task-textpair, task-lm, task-cloze | 0 | News2vec: News Network Embedding with Subnode Information | Ye Ma, Lu Zong, Yikang Yang, Jionglong Su | https://www.aclweb.org/anthology/D19-1490.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-adam, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-transformer, comb-ensemble, pre-elmo, pre-bert, task-spanlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension | Todor Mihaylov, Anette Frank | https://www.aclweb.org/anthology/D19-1257.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation | 0 | Partners in Crime: Multi-view Sequential Inference for Movie Understanding | Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen | https://www.aclweb.org/anthology/D19-1212.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 1 | Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel | Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov | https://www.aclweb.org/anthology/D19-1443.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-fasttext, pre-elmo, latent-vae, task-textclass, task-seq2seq, task-tree | 1 | Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks | Xinchi Chen, Chunchuan Lyu, Ivan Titov | https://www.aclweb.org/anthology/D19-1544.pdf |
| 2019 | EMNLP | # optim-adam, train-augment, pool-max, pool-mean, arch-cnn, arch-att, arch-selfatt, arch-memo, latent-vae, task-textclass, meta-init | 0 | Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion | Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing, Wai Lam | https://www.aclweb.org/anthology/D19-1024.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, task-seq2seq, task-tree | 0 | Asking Clarification Questions in Knowledge-Based Question Answering | Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun | https://www.aclweb.org/anthology/D19-1172.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, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, task-spanlab, task-lm, task-seq2seq | 0 | Multi-Task Learning with Language Modeling for Question Generation | Wenjie Zhou, Minghua Zhang, Yunfang Wu | https://www.aclweb.org/anthology/D19-1337.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-textpair, task-lm | 0 | Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching | Mingtong Liu, Yujie Zhang, Jinan Xu, Yufeng Chen | https://www.aclweb.org/anthology/D19-1267.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, struct-crf, task-textclass, task-extractive, task-lm, task-seq2seq | 0 | Pretrained Language Models for Sequential Sentence Classification | Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld | https://www.aclweb.org/anthology/D19-1383.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-active, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, pre-bert, latent-vae, task-textclass, task-lm, task-seq2seq | 19 | EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks | Jason Wei, Kai Zou | https://www.aclweb.org/anthology/D19-1670.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, comb-ensemble, task-seq2seq, task-tree, task-graph | 0 | Modeling Graph Structure in Transformer for Better AMR-to-Text Generation | Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou | https://www.aclweb.org/anthology/D19-1548.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq, task-tree | 0 | Towards Understanding Neural Machine Translation with Word Importance | Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu, Shuming Shi | https://www.aclweb.org/anthology/D19-1088.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mtl, train-mll, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, adv-train, task-spanlab, task-lm, task-seq2seq | 2 | Adversarial Domain Adaptation for Machine Reading Comprehension | Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang | https://www.aclweb.org/anthology/D19-1254.pdf |
| 2019 | EMNLP | # optim-projection, init-glorot, train-mll, arch-gnn, arch-att, arch-selfatt, arch-coverage, loss-margin | 0 | Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model | Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua | https://www.aclweb.org/anthology/D19-1274.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-transformer, pre-bert, latent-vae, task-tree | 0 | Answering Conversational Questions on Structured Data without Logical Forms | Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun | https://www.aclweb.org/anthology/D19-1603.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-lm | 1 | GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge | Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1355.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-att, arch-selfatt, pre-bert, task-spanlab, task-lm | 2 | Answering Complex Open-domain Questions Through Iterative Query Generation | Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning | https://www.aclweb.org/anthology/D19-1261.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove, task-textpair | 0 | Modeling the Relationship between User Comments and Edits in Document Revision | Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, ChangTien Lu | https://www.aclweb.org/anthology/D19-1505.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, task-textclass, task-lm | 0 | Label-Specific Document Representation for Multi-Label Text Classification | Lin Xiao, Xin Huang, Boli Chen, Liping Jing | https://www.aclweb.org/anthology/D19-1044.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-treelstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-glove, task-textclass, task-seq2seq | 0 | Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis | Jin Wang, Liang-Chih Yu, K. Robert Lai, Xuejie Zhang | https://www.aclweb.org/anthology/D19-1343.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, search-viterbi, pre-word2vec, pre-skipthought, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation | 0 | Learning to Infer Entities, Properties and their Relations from Clinical Conversations | Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran | https://www.aclweb.org/anthology/D19-1503.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 | # arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, task-seq2seq | 0 | Multi-agent Learning for Neural Machine Translation | Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang | https://www.aclweb.org/anthology/D19-1079.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-layer, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-alignment | 0 | Contrastive Attention Mechanism for Abstractive Sentence Summarization | Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang | https://www.aclweb.org/anthology/D19-1301.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-cca, task-lm, task-seq2seq, task-cloze | 1 | The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/D19-1448.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Learning with Limited Data for Multilingual Reading Comprehension | Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee | https://www.aclweb.org/anthology/D19-1283.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, struct-crf, loss-triplet, task-seqlab, task-lm, task-seq2seq, task-context | 14 | Cloze-driven Pretraining of Self-attention Networks | Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli | https://www.aclweb.org/anthology/D19-1539.pdf |
| 2019 | EMNLP | # optim-adam, 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, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-cnn, arch-att, arch-selfatt, task-textpair, task-condlm | 0 | DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization | Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li, Jun Xiao | https://www.aclweb.org/anthology/D19-1518.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 | # optim-adam, optim-projection, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq | 2 | Knowledge Enhanced Contextual Word Representations | Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith | https://www.aclweb.org/anthology/D19-1005.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer | 1 | UR-FUNNY: A Multimodal Language Dataset for Understanding Humor | Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency, Mohammed (Ehsan) Hoque | https://www.aclweb.org/anthology/D19-1211.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, optim-adadelta, optim-projection, reg-dropout, train-augment, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, search-greedy, search-beam, pre-elmo, pre-bert, nondif-reinforce, task-textpair, task-seqlab, task-spanlab, task-lm, task-condlm, task-seq2seq | 0 | Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering | Shiyue Zhang, Mohit Bansal | https://www.aclweb.org/anthology/D19-1253.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-memo, arch-coverage, comb-ensemble, task-tree | 1 | PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text | Haitian Sun, Tania Bedrax-Weiss, William Cohen | https://www.aclweb.org/anthology/D19-1242.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 | # arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation, task-graph | 0 | Self-Attention with Structural Position Representations | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi | https://www.aclweb.org/anthology/D19-1145.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, struct-crf, task-lm, task-seq2seq | 0 | CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots | Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab | https://www.aclweb.org/anthology/D19-1127.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, task-textpair | 2 | Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling | Jinfeng Rao, Linqing Liu, Yi Tay, Wei Yang, Peng Shi, Jimmy Lin | https://www.aclweb.org/anthology/D19-1540.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-seq2seq | 0 | Sequential Learning of Convolutional Features for Effective Text Classification | Avinash Madasu, Vijjini Anvesh Rao | https://www.aclweb.org/anthology/D19-1567.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, task-relation | 0 | Event Detection with Multi-Order Graph Convolution and Aggregated Attention | Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng | https://www.aclweb.org/anthology/D19-1582.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-viterbi, pre-elmo, pre-bert, struct-crf, loss-nce, task-seqlab, task-lm | 0 | Effective Use of Transformer Networks for Entity Tracking | Aditya Gupta, Greg Durrett | https://www.aclweb.org/anthology/D19-1070.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-bert, task-lm | 1 | Attending to Future Tokens for Bidirectional Sequence Generation | Carolin Lawrence, Bhushan Kotnis, Mathias Niepert | https://www.aclweb.org/anthology/D19-1001.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, search-beam, pre-glove, task-spanlab, task-seq2seq | 0 | Improving Question Generation With to the Point Context | Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/D19-1317.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, train-mll, train-active, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-elmo, pre-bert, task-seq2seq, task-tree, task-graph, task-alignment | 0 | Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling | Angel Daza, Anette Frank | https://www.aclweb.org/anthology/D19-1056.pdf |
| 2019 | EMNLP | # optim-adadelta, reg-stopping, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-bert, task-textclass, task-seq2seq | 0 | Enhancing Local Feature Extraction with Global Representation for Neural Text Classification | Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao | https://www.aclweb.org/anthology/D19-1047.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, train-mll, train-augment, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-transformer, pre-elmo, pre-bert, task-lm, task-condlm, task-seq2seq | 19 | LXMERT: Learning Cross-Modality Encoder Representations from Transformers | Hao Tan, Mohit Bansal | https://www.aclweb.org/anthology/D19-1514.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, task-lm, task-seq2seq | 0 | Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer | Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao | https://www.aclweb.org/anthology/D19-1365.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, loss-cca, task-seq2seq | 0 | Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis | Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/D19-1566.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, task-textclass, task-seq2seq | 0 | Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation | Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou | https://www.aclweb.org/anthology/D19-1164.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-transformer, task-textpair, task-seq2seq | 1 | Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework | Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi | https://www.aclweb.org/anthology/D19-1195.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Fine-tune BERT with Sparse Self-Attention Mechanism | Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang | https://www.aclweb.org/anthology/D19-1361.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, task-seq2seq, task-relation | 0 | Recurrent Positional Embedding for Neural Machine Translation | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/D19-1139.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, reg-patience, reg-labelsmooth, train-mll, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-copy, arch-coverage, arch-subword, arch-transformer, comb-ensemble, search-beam, task-seqlab, task-seq2seq | 0 | Deep Copycat Networks for Text-to-Text Generation | Julia Ive, Pranava Madhyastha, Lucia Specia | https://www.aclweb.org/anthology/D19-1318.pdf |
| 2019 | EMNLP | # optim-adam, reg-patience, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm | 10 | Language Models as Knowledge Bases? | Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander Miller | https://www.aclweb.org/anthology/D19-1250.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 | # reg-dropout, pool-mean, arch-lstm, arch-att, arch-selfatt, arch-copy, task-seq2seq | 0 | Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time) | Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu | https://www.aclweb.org/anthology/D19-1310.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-parallel, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-spanlab, task-seq2seq, task-alignment | 0 | BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels | Yimin Jing, Deyi Xiong, Zhen Yan | https://www.aclweb.org/anthology/D19-1249.pdf |
| 2019 | EMNLP | # 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-adam, init-glorot, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, search-greedy, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation | 0 | Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited | Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre | https://www.aclweb.org/anthology/D19-1277.pdf |
| 2019 | EMNLP | # optim-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-sgd, optim-adam, arch-rnn, arch-gru, arch-cnn, arch-att, arch-selfatt, search-beam, task-spanlab, task-lm, task-seq2seq | 1 | Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation | Ze Yang, Can Xu, Wei Wu, Zhoujun Li | https://www.aclweb.org/anthology/D19-1512.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-coverage, search-beam, task-extractive, task-condlm, task-seq2seq | 0 | Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes | Litton J Kurisinkel, Nancy Chen | https://www.aclweb.org/anthology/D19-1638.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, comb-ensemble, pre-bert, task-textpair, task-spanlab | 1 | Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension | Daniel Andor, Luheng He, Kenton Lee, Emily Pitler | https://www.aclweb.org/anthology/D19-1609.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-max, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, task-textclass | 0 | Improving Distantly-Supervised Relation Extraction with Joint Label Embedding | Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang | https://www.aclweb.org/anthology/D19-1395.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, pool-max, pool-mean, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-transformer, pre-glove, pre-bert, latent-topic, task-lm, task-seq2seq | 1 | Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations | Peixiang Zhong, Di Wang, Chunyan Miao | https://www.aclweb.org/anthology/D19-1016.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 | # optim-adam, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-bilinear, arch-coverage, arch-transformer, search-beam, latent-vae, task-seq2seq, task-relation, task-tree, task-graph | 0 | Core Semantic First: A Top-down Approach for AMR Parsing | Deng Cai, Wai Lam | https://www.aclweb.org/anthology/D19-1393.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt | 2 | Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning | Khanh Nguyen, Hal Daumé III | https://www.aclweb.org/anthology/D19-1063.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-subword, arch-transformer, search-beam, task-seq2seq, task-tree | 1 | JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation | Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1546.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, arch-gnn, arch-att, arch-selfatt, arch-transformer, pre-bert, task-spanlab, task-tree | 0 | NumNet: Machine Reading Comprehension with Numerical Reasoning | Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu | https://www.aclweb.org/anthology/D19-1251.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-glove, pre-bert, task-seq2seq, task-graph | 0 | Enhancing AMR-to-Text Generation with Dual Graph Representations | Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1314.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, nondif-reinforce, task-spanlab, task-condlm, task-seq2seq | 0 | Let’s Ask Again: Refine Network for Automatic Question Generation | Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran | https://www.aclweb.org/anthology/D19-1326.pdf |
| 2019 | EMNLP | # arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 0 | Encode, Tag, Realize: High-Precision Text Editing | Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn | https://www.aclweb.org/anthology/D19-1510.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, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semantic Role Labeling with Iterative Structure Refinement | Chunchuan Lyu, Shay B. Cohen, Ivan Titov | https://www.aclweb.org/anthology/D19-1099.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 0 | Towards Knowledge-Based Recommender Dialog System | Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang | https://www.aclweb.org/anthology/D19-1189.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-seq2seq, task-tree | 0 | Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation | Dongjun Lee | https://www.aclweb.org/anthology/D19-1624.pdf |
| 2019 | EMNLP | # optim-adagrad, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, arch-coverage, search-beam, task-lm, task-seq2seq, task-graph | 0 | Concept Pointer Network for Abstractive Summarization | Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou | https://www.aclweb.org/anthology/D19-1304.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-memo, arch-transformer | 0 | Video Dialog via Progressive Inference and Cross-Transformer | Weike Jin, Zhou Zhao, Mao Gu, Jun Xiao, Furu Wei, Yueting Zhuang | https://www.aclweb.org/anthology/D19-1217.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-copy, pre-glove, pre-bert, task-spanlab, task-seq2seq | 0 | ParaQG: A System for Generating Questions and Answers from Paragraphs | Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li | https://www.aclweb.org/anthology/D19-3030.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 | # arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, task-textpair, task-spanlab, task-lm, task-seq2seq, task-cloze | 4 | Revealing the Dark Secrets of BERT | Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky | https://www.aclweb.org/anthology/D19-1445.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-viterbi, struct-crf, task-seqlab | 1 | Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction | Shun Zheng, Wei Cao, Wei Xu, Jiang Bian | https://www.aclweb.org/anthology/D19-1032.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, reg-dropout, arch-rnn, arch-birnn, arch-att, arch-selfatt, arch-transformer, task-seq2seq | 1 | Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation | Xin Tan, Longyin Zhang, Deyi Xiong, Guodong Zhou | https://www.aclweb.org/anthology/D19-1168.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt | 0 | Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems | Jia Li, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1128.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq | 1 | Learning Explicit and Implicit Structures for Targeted Sentiment Analysis | Hao Li, Wei Lu | https://www.aclweb.org/anthology/D19-1550.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-seq2seq | 0 | Open Domain Web Keyphrase Extraction Beyond Language Modeling | Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk | https://www.aclweb.org/anthology/D19-1521.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-augment, arch-lstm, arch-gnn, arch-att, arch-selfatt, arch-copy, arch-coverage, pre-glove, pre-bert, task-seq2seq, task-tree | 0 | Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions | Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev | https://www.aclweb.org/anthology/D19-1537.pdf |
| 2019 | EMNLP | # optim-adagrad, init-glorot, train-augment, arch-lstm, arch-att, arch-selfatt, task-textclass, task-textpair, task-seq2seq | 1 | Induction Networks for Few-Shot Text Classification | Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian, Jian Sun | https://www.aclweb.org/anthology/D19-1403.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, nondif-reinforce, loss-margin | 0 | Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning | Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao | https://www.aclweb.org/anthology/D19-1264.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 | # train-mtl, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-transformer, pre-bert | 1 | SUM-QE: a BERT-based Summary Quality Estimation Model | Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki, Ion Androutsopoulos | https://www.aclweb.org/anthology/D19-1618.pdf |
| 2019 | EMNLP | # reg-dropout, reg-stopping, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-beam, task-lm, task-seq2seq | 1 | Joey NMT: A Minimalist NMT Toolkit for Novices | Julia Kreutzer, Joost Bastings, Stefan Riezler | https://www.aclweb.org/anthology/D19-3019.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-elmo, pre-bert, task-textclass, task-lm, task-cloze | 1 | Visualizing and Understanding the Effectiveness of BERT | Yaru Hao, Li Dong, Furu Wei, Ke Xu | https://www.aclweb.org/anthology/D19-1424.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-norm, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, task-lm, task-relation | 0 | Specializing Word Embeddings (for Parsing) by Information Bottleneck | Xiang Lisa Li, Jason Eisner | https://www.aclweb.org/anthology/D19-1276.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-memo, pre-glove | 1 | Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots | Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu | https://www.aclweb.org/anthology/D19-1193.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-lm, task-condlm, task-seq2seq | 1 | Neural Naturalist: Generating Fine-Grained Image Comparisons | Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie | https://www.aclweb.org/anthology/D19-1065.pdf |
| 2019 | EMNLP | # train-parallel, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq | 4 | Adaptively Sparse Transformers | Gonçalo M. Correia, Vlad Niculae, André F. T. Martins | https://www.aclweb.org/anthology/D19-1223.pdf |
| 2019 | EMNLP | # optim-adam, optim-adadelta, optim-projection, init-glorot, reg-dropout, norm-layer, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-residual, arch-bilinear, arch-coverage, arch-transformer, pre-glove, pre-elmo, pre-bert, task-textclass, task-seq2seq, task-relation, task-tree | 0 | Syntax-Enhanced Self-Attention-Based Semantic Role Labeling | Yue Zhang, Rui Wang, Luo Si | https://www.aclweb.org/anthology/D19-1057.pdf |
| 2019 | EMNLP | # optim-adam, reg-labelsmooth, arch-lstm, arch-att, arch-selfatt, arch-transformer, latent-vae, task-spanlab, task-seq2seq, task-alignment | 1 | Hint-Based Training for Non-Autoregressive Machine Translation | Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu | https://www.aclweb.org/anthology/D19-1573.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-labelsmooth, norm-layer, norm-gradient, arch-rnn, arch-att, arch-selfatt, arch-residual, arch-subword, arch-transformer, search-beam, pre-bert, task-lm, task-seq2seq | 2 | Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention | Biao Zhang, Ivan Titov, Rico Sennrich | https://www.aclweb.org/anthology/D19-1083.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, pre-bert, task-spanlab | 0 | Machine Reading Comprehension Using Structural Knowledge Graph-aware Network | Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1602.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, pre-glove, task-textclass, task-textpair, task-seq2seq | 0 | You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP | Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández | https://www.aclweb.org/anthology/D19-1477.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-rnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, search-beam, task-spanlab, task-lm, task-seq2seq, task-cloze | 1 | Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs | Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes | https://www.aclweb.org/anthology/D19-1428.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, init-glorot, reg-dropout, arch-att, arch-selfatt, arch-memo, arch-coverage, arch-transformer, search-beam, pre-elmo, pre-bert, task-spanlab, task-seq2seq, task-relation, task-tree | 1 | A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li | https://www.aclweb.org/anthology/D19-1170.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, train-mtl, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-bert, loss-nce, task-textpair, task-lm | 4 | KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning | Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren | https://www.aclweb.org/anthology/D19-1282.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-copy, pre-skipthought, task-seq2seq | 0 | A Modular Architecture for Unsupervised Sarcasm Generation | Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan | https://www.aclweb.org/anthology/D19-1636.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, struct-crf, task-textclass, task-tree | 0 | Reconstructing Capsule Networks for Zero-shot Intent Classification | Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y.S. Lam | https://www.aclweb.org/anthology/D19-1486.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-bert, struct-crf | 1 | A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding | Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu | https://www.aclweb.org/anthology/D19-1214.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-sgd, optim-adam, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, search-viterbi, struct-crf, task-textclass, task-seqlab | 0 | Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network | Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu | https://www.aclweb.org/anthology/D19-1396.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, arch-energy, pre-bert, task-spanlab | 4 | Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering | Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang | https://www.aclweb.org/anthology/D19-1599.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, norm-layer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, latent-topic, task-lm | 0 | A Hierarchical Location Prediction Neural Network for Twitter User Geolocation | Binxuan Huang, Kathleen Carley | https://www.aclweb.org/anthology/D19-1480.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-elmo, pre-bert, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq, task-cloze | 6 | Text Summarization with Pretrained Encoders | Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/D19-1387.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-stopping, train-mll, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-elmo, task-spanlab, task-lm, task-seq2seq | 1 | Retrofitting Contextualized Word Embeddings with Paraphrases | Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang | https://www.aclweb.org/anthology/D19-1113.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, task-spanlab, task-seq2seq | 0 | Question-type Driven Question Generation | Wenjie Zhou, Minghua Zhang, Yunfang Wu | https://www.aclweb.org/anthology/D19-1622.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-augment, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-lm, task-seq2seq, task-alignment | 0 | A Discriminative Neural Model for Cross-Lingual Word Alignment | Elias Stengel-Eskin, Tzu-ray Su, Matt Post, Benjamin Van Durme | https://www.aclweb.org/anthology/D19-1084.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, struct-cfg, task-textclass, task-textpair, task-lm, task-seq2seq, task-tree | 0 | PaLM: A Hybrid Parser and Language Model | Hao Peng, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/D19-1376.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-selfatt | 0 | Neural News Recommendation with Multi-Head Self-Attention | Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1671.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-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, adv-train, task-lm, task-seq2seq | 0 | Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification | Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun | https://www.aclweb.org/anthology/D19-1553.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-fasttext, pre-glove, task-seq2seq | 0 | Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space | Kawin Ethayarajh | https://www.aclweb.org/anthology/D19-1354.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, norm-layer, pool-mean, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, task-textclass, task-textpair | 0 | Learning Invariant Representations of Social Media Users | Nicholas Andrews, Marcus Bishop | https://www.aclweb.org/anthology/D19-1178.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, comb-ensemble, search-beam, pre-word2vec, pre-glove, pre-elmo, adv-examp, task-textclass, task-textpair, task-spanlab, task-lm, task-seq2seq | 8 | Universal Adversarial Triggers for Attacking and Analyzing NLP | Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh | https://www.aclweb.org/anthology/D19-1221.pdf |
| 2019 | EMNLP | # optim-adam, arch-att, arch-selfatt, arch-coverage, pre-bert, nondif-reinforce, latent-vae, task-spanlab, task-tree | 2 | A Discrete Hard EM Approach for Weakly Supervised Question Answering | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer | https://www.aclweb.org/anthology/D19-1284.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-bert, struct-cfg, task-lm, task-seq2seq, task-cloze, task-tree | 0 | Tree Transformer: Integrating Tree Structures into Self-Attention | Yaushian Wang, Hung-Yi Lee, Yun-Nung Chen | https://www.aclweb.org/anthology/D19-1098.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, task-textclass, task-extractive, task-lm, task-condlm, task-seq2seq | 0 | From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining | Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel | https://www.aclweb.org/anthology/D19-1556.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-augment, arch-att, arch-selfatt, pre-bert, task-spanlab, task-lm | 3 | Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning | Pradeep Dasigi, Nelson F. Liu, Ana Marasović, Noah A. Smith, Matt Gardner | https://www.aclweb.org/anthology/D19-1606.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, task-seqlab, task-seq2seq | 3 | Multi-Granularity Self-Attention for Neural Machine Translation | Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu | https://www.aclweb.org/anthology/D19-1082.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm | 0 | Neural Duplicate Question Detection without Labeled Training Data | Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1171.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mtl, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-elmo, task-lm, task-tree | 1 | Neural Constituency Parsing of Speech Transcripts | Paria Jamshid Lou, Yufei Wang, Mark Johnson | https://www.aclweb.org/anthology/N19-1282.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, train-augment, arch-lstm, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-glove, pre-elmo, task-textpair, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting | J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme | https://www.aclweb.org/anthology/N19-1090.pdf |
| 2019 | NAA-CL | # optim-adam, norm-layer, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, search-beam | 19 | MuST-C: a Multilingual Speech Translation Corpus | Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, Marco Turchi | https://www.aclweb.org/anthology/N19-1202.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 | # pool-mean, arch-lstm, arch-cnn, arch-att, arch-selfatt, comb-ensemble, pre-fasttext, pre-glove, struct-crf, loss-cca, loss-margin, task-textclass | 1 | Ranking-Based Autoencoder for Extreme Multi-label Classification | Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou | https://www.aclweb.org/anthology/N19-1289.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, struct-crf, task-textclass, task-seq2seq | 3 | HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition | Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/N19-1037.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, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-word2vec, latent-vae, task-lm | 5 | Document-Level N-ary Relation Extraction with Multiscale Representation Learning | Robin Jia, Cliff Wong, Hoifung Poon | https://www.aclweb.org/anthology/N19-1370.pdf |
| 2019 | NAA-CL | # reg-dropout, activ-relu, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, pre-glove, task-textclass, task-textpair, task-seq2seq | 3 | How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection | Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang | https://www.aclweb.org/anthology/N19-1352.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq | 17 | Star-Transformer | Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang | https://www.aclweb.org/anthology/N19-1133.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mll, arch-rnn, arch-gru, arch-bigru, arch-att, arch-selfatt, latent-topic, task-textpair | 2 | Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering | Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi | https://www.aclweb.org/anthology/N19-2020.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-glove, nondif-reinforce, task-seq2seq, task-tree | 4 | Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases | Yu Chen, Lingfei Wu, Mohammed J. Zaki | https://www.aclweb.org/anthology/N19-1299.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab | 1 | An Encoding Strategy Based Word-Character LSTM for Chinese NER | Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song, Yueran Zu | https://www.aclweb.org/anthology/N19-1247.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-memo, pre-elmo, pre-bert, task-lm, task-cloze | 16 | Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence | Chi Sun, Luyao Huang, Xipeng Qiu | https://www.aclweb.org/anthology/N19-1035.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 | # 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 | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-fasttext, task-textclass, task-seq2seq, task-tree | 2 | Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems | Ting-Rui Chiang, Yun-Nung Chen | https://www.aclweb.org/anthology/N19-1272.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-textclass, task-relation | 1 | Topic Spotting using Hierarchical Networks with Self Attention | Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani, Mubbasir Kapadia | https://www.aclweb.org/anthology/N19-1376.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 | # 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-adam, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-glove, struct-crf, task-seqlab, task-lm | 0 | VCWE: Visual Character-Enhanced Word Embeddings | Chi Sun, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/N19-1277.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-elmo, task-textclass, task-lm, task-seq2seq | 10 | Pre-trained language model representations for language generation | Sergey Edunov, Alexei Baevski, Michael Auli | https://www.aclweb.org/anthology/N19-1409.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-worddropout, norm-layer, pool-max, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-transformer | 5 | Relation Extraction using Explicit Context Conditioning | Gaurav Singh, Parminder Bhatia | https://www.aclweb.org/anthology/N19-1147.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, task-extractive, task-seq2seq, task-relation | 4 | Single Document Summarization as Tree Induction | Yang Liu, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/N19-1173.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, init-glorot, reg-dropout, reg-stopping, arch-rnn, arch-birnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, search-beam, struct-crf, task-seqlab, task-lm, task-tree, task-graph | 8 | Text Generation from Knowledge Graphs with Graph Transformers | Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1238.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-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, pre-elmo, pre-bert, task-lm, task-seq2seq, task-relation | 43 | A Structural Probe for Finding Syntax in Word Representations | John Hewitt, Christopher D. Manning | https://www.aclweb.org/anthology/N19-1419.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation | 7 | Better, Faster, Stronger Sequence Tagging Constituent Parsers | David Vilares, Mostafa Abdou, Anders Søgaard | https://www.aclweb.org/anthology/N19-1341.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, pool-max, arch-rnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-bert, task-seq2seq | 11 | Information Aggregation for Multi-Head Attention with Routing-by-Agreement | Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu | https://www.aclweb.org/anthology/N19-1359.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, pre-glove | 3 | Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis | Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/N19-1034.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 | # reg-dropout, reg-decay, train-mtl, arch-rnn, arch-att, arch-selfatt, arch-copy, arch-transformer, comb-ensemble, pre-glove, pre-elmo, pre-bert, task-lm, task-seq2seq, task-tree | 20 | Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data | Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, Jingming Liu | https://www.aclweb.org/anthology/N19-1014.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-att, arch-selfatt, arch-subword, pre-fasttext | 5 | Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts | Timo Schick, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1048.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-residual, arch-coverage, arch-subword, arch-transformer, task-seq2seq | 9 | Selective Attention for Context-aware Neural Machine Translation | Sameen Maruf, André F. T. Martins, Gholamreza Haffari | https://www.aclweb.org/anthology/N19-1313.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-fasttext, latent-vae, task-extractive, task-seq2seq | 9 | Abstractive Summarization of Reddit Posts with Multi-level Memory Networks | Byeongchang Kim, Hyunwoo Kim, Gunhee Kim | https://www.aclweb.org/anthology/N19-1260.pdf |
| 2019 | NAA-CL | # optim-adam, reg-decay, train-augment, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, comb-ensemble, pre-glove | 0 | On Knowledge distillation from complex networks for response prediction | Siddhartha Arora, Mitesh M. Khapra, Harish G. Ramaswamy | https://www.aclweb.org/anthology/N19-1382.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-coverage, adv-examp, task-textclass, task-textpair, task-spanlab, task-seq2seq | 10 | Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets | Nelson F. Liu, Roy Schwartz, Noah A. Smith | https://www.aclweb.org/anthology/N19-1225.pdf |
| 2019 | NAA-CL | # reg-dropout, norm-gradient, train-mtl, train-mll, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, comb-ensemble, task-seq2seq, task-relation | 0 | Multi-Task Learning for Japanese Predicate Argument Structure Analysis | Hikaru Omori, Mamoru Komachi | https://www.aclweb.org/anthology/N19-1344.pdf |
| 2019 | NAA-CL | # reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-att, arch-selfatt, arch-subword, arch-transformer, loss-nce, task-seqlab, task-seq2seq | 24 | Massively Multilingual Neural Machine Translation | Roee Aharoni, Melvin Johnson, Orhan Firat | https://www.aclweb.org/anthology/N19-1388.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-active, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear | 0 | Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision | Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu | https://www.aclweb.org/anthology/N19-1107.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, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-glove, pre-elmo | 2 | Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs | Debjit Paul, Anette Frank | https://www.aclweb.org/anthology/N19-1368.pdf |