| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, train-mll, arch-cnn, arch-att, arch-transformer, pre-skipthought, pre-bert, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | Sentence Centrality Revisited for Unsupervised Summarization | Hao Zheng, Mirella Lapata | https://www.aclweb.org/anthology/P19-1628.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, task-textclass, task-seqlab, task-lm, task-seq2seq | 0 | Stochastic Tokenization with a Language Model for Neural Text Classification | Tatsuya Hiraoka, Hiroyuki Shindo, Yuji Matsumoto | https://www.aclweb.org/anthology/P19-1158.pdf |
| 2019 | ACL | # arch-lstm, arch-gnn, arch-cnn, arch-att, arch-bilinear, pre-glove, latent-vae, loss-nce, task-seqlab, task-condlm, task-seq2seq, task-relation | 1 | Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization | Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency | https://www.aclweb.org/anthology/P19-1152.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, struct-crf | 2 | A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling | Haihong E, Peiqing Niu, Zhongfu Chen, Meina Song | https://www.aclweb.org/anthology/P19-1544.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-parallel, arch-lstm, arch-cnn, arch-subword, search-beam, task-lm, task-seq2seq | 0 | Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units | Arturo Argueta, David Chiang | https://www.aclweb.org/anthology/P19-1626.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 | # reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, adv-examp, task-textclass, task-lm, task-seq2seq | 6 | Robust Neural Machine Translation with Doubly Adversarial Inputs | Yong Cheng, Lu Jiang, Wolfgang Macherey | https://www.aclweb.org/anthology/P19-1425.pdf |
| 2019 | ACL | # optim-adam, arch-gru, arch-cnn, arch-att | 0 | Neural News Recommendation with Topic-Aware News Representation | Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/P19-1110.pdf |
| 2019 | ACL | # optim-adam, optim-projection, pool-max, arch-cnn, arch-att, arch-transformer, pre-word2vec, latent-topic, task-textclass, task-seq2seq, task-alignment | 1 | Improving Textual Network Embedding with Global Attention via Optimal Transport | Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin | https://www.aclweb.org/anthology/P19-1512.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-active, arch-rnn, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, task-seq2seq | 2 | Collaborative Dialogue in Minecraft | Anjali Narayan-Chen, Prashant Jayannavar, Julia Hockenmaier | https://www.aclweb.org/anthology/P19-1537.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-rnn, arch-cnn, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, task-lm, task-relation | 0 | Global Textual Relation Embedding for Relational Understanding | Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su | https://www.aclweb.org/anthology/P19-1127.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-lstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-seq2seq | 1 | DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction | Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu | https://www.aclweb.org/anthology/P19-1137.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-bert, loss-nce, task-textclass, task-textpair | 0 | Matching Article Pairs with Graphical Decomposition and Convolutions | Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu | https://www.aclweb.org/anthology/P19-1632.pdf |
| 2019 | ACL | # optim-projection, reg-stopping, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, comb-ensemble, pre-fasttext, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 3 | Massively Multilingual Transfer for NER | Afshin Rahimi, Yuan Li, Trevor Cohn | https://www.aclweb.org/anthology/P19-1015.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-skipthought, pre-bert, task-seqlab | 0 | Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations | Sumeet Kumar, Kathleen Carley | https://www.aclweb.org/anthology/P19-1498.pdf |
| 2019 | ACL | # arch-rnn, arch-cnn, arch-copy, arch-coverage, task-seq2seq | 1 | HighRES: Highlight-based Reference-less Evaluation of Summarization | Hardy Hardy, Shashi Narayan, Andreas Vlachos | https://www.aclweb.org/anthology/P19-1330.pdf |
| 2019 | ACL | # optim-adam, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 0 | Inducing Document Structure for Aspect-based Summarization | Lea Frermann, Alexandre Klementiev | https://www.aclweb.org/anthology/P19-1630.pdf |
| 2019 | ACL | # init-glorot, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, loss-nce | 0 | Toward Comprehensive Understanding of a Sentiment Based on Human Motives | Naoki Otani, Eduard Hovy | https://www.aclweb.org/anthology/P19-1461.pdf |
| 2019 | ACL | # train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, adv-train, task-seq2seq | 0 | Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation | Francine Chen, Yan-Ying Chen | https://www.aclweb.org/anthology/P19-1211.pdf |
| 2019 | ACL | # optim-sgd, optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-condlm, task-seq2seq | 0 | Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing | Yuanchao Liu, Bo Pang, Bingquan Liu | https://www.aclweb.org/anthology/P19-1552.pdf |
| 2019 | ACL | # arch-cnn, pre-word2vec, struct-crf, task-seqlab, task-relation | 1 | Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction | Debela Gemechu, Chris Reed | https://www.aclweb.org/anthology/P19-1049.pdf |
| 2019 | ACL | # optim-adadelta, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, pre-word2vec, pre-glove | 1 | Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing | Sijie Mai, Haifeng Hu, Songlong Xing | https://www.aclweb.org/anthology/P19-1046.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-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, nondif-straightthrough, nondif-reinforce, latent-vae, task-textclass, task-textpair, task-lm | 3 | Interpretable Neural Predictions with Differentiable Binary Variables | Joost Bastings, Wilker Aziz, Ivan Titov | https://www.aclweb.org/anthology/P19-1284.pdf |
| 2019 | ACL | # optim-adam, optim-projection, train-mll, train-transfer, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-lm, task-seq2seq, task-relation, task-lexicon | 1 | Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation | Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Tiejun Zhao | https://www.aclweb.org/anthology/P19-1119.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, task-seq2seq, task-relation | 1 | Neural Machine Translation with Reordering Embeddings | Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita | https://www.aclweb.org/anthology/P19-1174.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, struct-crf, task-textclass | 3 | Transfer Capsule Network for Aspect Level Sentiment Classification | Zhuang Chen, Tieyun Qian | https://www.aclweb.org/anthology/P19-1052.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-gru, arch-gcnn, arch-cnn, arch-att, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Hierarchical Transfer Learning for Multi-label Text Classification | Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal, Kostas Tsioutsiouliklis | https://www.aclweb.org/anthology/P19-1633.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-bert, adv-train, task-relation | 6 | Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers | Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar | https://www.aclweb.org/anthology/P19-1132.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-glove, pre-bert, task-textclass, task-seqlab, task-seq2seq | 4 | DocRED: A Large-Scale Document-Level Relation Extraction Dataset | Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun | https://www.aclweb.org/anthology/P19-1074.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-adam, train-mll, train-transfer, train-active, arch-cnn, arch-att, search-viterbi, struct-crf, task-textclass, task-seqlab | 0 | Learning How to Active Learn by Dreaming | Thuy-Trang Vu, Ming Liu, Dinh Phung, Gholamreza Haffari | https://www.aclweb.org/anthology/P19-1401.pdf |
| 2019 | ACL | # optim-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-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-adam, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, task-lm | 1 | Relating Simple Sentence Representations in Deep Neural Networks and the Brain | Sharmistha Jat, Hao Tang, Partha Talukdar, Tom Mitchell | https://www.aclweb.org/anthology/P19-1507.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-cnn, task-seq2seq | 4 | Evaluating Gender Bias in Machine Translation | Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer | https://www.aclweb.org/anthology/P19-1164.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, norm-gradient, arch-rnn, arch-lstm, arch-gcnn, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, comb-ensemble, pre-glove, task-tree | 2 | Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network | Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou | https://www.aclweb.org/anthology/P19-1423.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, activ-relu, pool-max, pool-mean, arch-cnn, pre-glove, task-textclass, task-lm, task-seq2seq | 4 | MOROCO: The Moldavian and Romanian Dialectal Corpus | Andrei Butnaru, Radu Tudor Ionescu | https://www.aclweb.org/anthology/P19-1068.pdf |
| 2019 | ACL | # arch-cnn, arch-att, arch-copy, pre-bert, task-textpair, task-spanlab, task-lm | 4 | Careful Selection of Knowledge to Solve Open Book Question Answering | Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral | https://www.aclweb.org/anthology/P19-1615.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, struct-cfg, adv-train, task-lm, task-seq2seq, task-relation, task-tree | 0 | Language Modeling with Shared Grammar | Yuyu Zhang, Le Song | https://www.aclweb.org/anthology/P19-1437.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq | 10 | Is Word Segmentation Necessary for Deep Learning of Chinese Representations? | Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li | https://www.aclweb.org/anthology/P19-1314.pdf |
| 2019 | ACL | # 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 | # train-mtl, pool-max, arch-lstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, pre-fasttext, pre-glove, adv-examp, task-textclass, task-textpair, task-lm, task-tree | 10 | Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications | Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang | https://www.aclweb.org/anthology/P19-1150.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-skipthought, task-textclass | 0 | Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media | Chang Li, Dan Goldwasser | https://www.aclweb.org/anthology/P19-1247.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-fasttext, nondif-reinforce, task-textclass, task-lm, task-condlm, task-relation | 2 | Visually Grounded Neural Syntax Acquisition | Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu | https://www.aclweb.org/anthology/P19-1180.pdf |
| 2019 | ACL | # optim-adam, optim-projection, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-elmo, latent-topic, task-textclass | 9 | The Risk of Racial Bias in Hate Speech Detection | Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith | https://www.aclweb.org/anthology/P19-1163.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 | # reg-dropout, arch-rnn, arch-lstm, arch-cnn, pre-glove, pre-elmo, task-lm, task-relation | 0 | Identifying Visible Actions in Lifestyle Vlogs | Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea | https://www.aclweb.org/anthology/P19-1643.pdf |
| 2019 | ACL | # optim-adadelta, train-mll, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, comb-ensemble, pre-word2vec, pre-elmo, adv-train, task-lm, task-seq2seq | 0 | Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning | Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/P19-1429.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, pre-glove, task-seqlab | 0 | Automatically Identifying Complaints in Social Media | Daniel Preoţiuc-Pietro, Mihaela Gaman, Nikolaos Aletras | https://www.aclweb.org/anthology/P19-1495.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, norm-batch, norm-gradient, train-mtl, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-fasttext, task-textclass, task-lm | 1 | #YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media | Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah, Debanjan Mahata | https://www.aclweb.org/anthology/P19-1241.pdf |
| 2019 | ACL | # optim-adagrad, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, search-beam, task-seq2seq | 0 | On the Summarization of Consumer Health Questions | Asma Ben Abacha, Dina Demner-Fushman | https://www.aclweb.org/anthology/P19-1215.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, task-textclass, task-seqlab, task-lm | 0 | On-device Structured and Context Partitioned Projection Networks | Sujith Ravi, Zornitsa Kozareva | https://www.aclweb.org/anthology/P19-1368.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, latent-topic, task-seq2seq | 3 | Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv | https://www.aclweb.org/anthology/P19-1051.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-lm | 0 | Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models | Xiaolei Huang, Michael J. Paul | https://www.aclweb.org/anthology/P19-1403.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-word2vec, pre-glove, task-textclass | 2 | From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion | Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim | https://www.aclweb.org/anthology/P19-1094.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-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass | 1 | Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good | Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang, Zhou Yu | https://www.aclweb.org/anthology/P19-1566.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 | # optim-adam, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, struct-crf, loss-nce, task-textpair, task-seq2seq | 1 | Optimal Transport-based Alignment of Learned Character Representations for String Similarity | Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum | https://www.aclweb.org/anthology/P19-1592.pdf |
| 2019 | ACL | # optim-adam, 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 | # init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, arch-transformer, task-lm, task-seq2seq | 5 | Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations | Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O.K. Li | https://www.aclweb.org/anthology/P19-1121.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, arch-lstm, arch-cnn, arch-att, arch-memo | 0 | Quantifying Similarity between Relations with Fact Distribution | Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun | https://www.aclweb.org/anthology/P19-1278.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, search-beam, loss-margin, task-seq2seq | 4 | Neural Relation Extraction for Knowledge Base Enrichment | Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang | https://www.aclweb.org/anthology/P19-1023.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-cnn, arch-att, arch-bilinear, arch-coverage, task-spanlab, task-lm, task-relation | 2 | Are Red Roses Red? Evaluating Consistency of Question-Answering Models | Marco Tulio Ribeiro, Carlos Guestrin, Sameer Singh | https://www.aclweb.org/anthology/P19-1621.pdf |
| 2019 | ACL | # reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, adv-train, task-seqlab | 0 | Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data | Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang | https://www.aclweb.org/anthology/P19-1130.pdf |
| 2019 | ACL | # train-transfer, arch-cnn, pre-glove, pre-bert | 0 | Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) | Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria | https://www.aclweb.org/anthology/P19-1455.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-glove, task-spanlab, task-seq2seq | 2 | Explicit Utilization of General Knowledge in Machine Reading Comprehension | Chao Wang, Hui Jiang | https://www.aclweb.org/anthology/P19-1219.pdf |
| 2019 | ACL | # 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, activ-relu, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-spanlab | 0 | Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts | Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida, Kentaro Torisawa | https://www.aclweb.org/anthology/P19-1414.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-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, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, comb-ensemble, pre-glove, latent-vae | 3 | Graph Neural Networks with Generated Parameters for Relation Extraction | Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun | https://www.aclweb.org/anthology/P19-1128.pdf |
| 2019 | ACL | # optim-projection, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, arch-subword, search-viterbi, pre-fasttext, pre-bert, struct-crf | 1 | Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates | Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss, Jonas Kuhn | https://www.aclweb.org/anthology/P19-1273.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-adagrad, train-mtl, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, arch-residual, arch-subword, pre-word2vec, pre-elmo | 0 | Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings | Linh The Nguyen, Linh Van Ngo, Khoat Than, Thien Huu Nguyen | https://www.aclweb.org/anthology/P19-1411.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, pool-max, arch-rnn, arch-cnn, arch-coverage, search-beam, pre-glove, pre-skipthought, task-textpair, task-lm | 0 | A Cross-Domain Transferable Neural Coherence Model | Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung | https://www.aclweb.org/anthology/P19-1067.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, latent-topic | 0 | Enhancing Air Quality Prediction with Social Media and Natural Language Processing | Jyun-Yu Jiang, Xue Sun, Wei Wang, Sean Young | https://www.aclweb.org/anthology/P19-1251.pdf |
| 2019 | ACL | # optim-adam, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-subword, arch-transformer, pre-bert, task-lm, task-condlm, task-seq2seq | 2 | Like a Baby: Visually Situated Neural Language Acquisition | Alexander Ororbia, Ankur Mali, Matthew Kelly, David Reitter | https://www.aclweb.org/anthology/P19-1506.pdf |
| 2019 | ACL | # optim-adam, 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-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-lm, task-seq2seq, task-tree | 0 | Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models | Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin | https://www.aclweb.org/anthology/P19-1200.pdf |
| 2019 | ACL | # reg-dropout, arch-lstm, arch-cnn, pre-word2vec, struct-crf, struct-cfg, meta-arch | 1 | AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text | Suilan Estevez-Velarde, Yoan Gutiérrez, Andrés Montoyo, Yudivián Almeida-Cruz | https://www.aclweb.org/anthology/P19-1428.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, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-textpair, task-lm, task-tree | 0 | Towards Lossless Encoding of Sentences | Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp | https://www.aclweb.org/anthology/P19-1153.pdf |
| 2019 | ACL | # train-mll, train-transfer, pool-max, pool-mean, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-subword, task-textclass, task-seq2seq | 4 | Exploiting Sentential Context for Neural Machine Translation | Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi | https://www.aclweb.org/anthology/P19-1624.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-seqlab | 2 | Robust Representation Learning of Biomedical Names | Minh C. Phan, Aixin Sun, Yi Tay | https://www.aclweb.org/anthology/P19-1317.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, comb-ensemble, task-textclass, task-lm, task-seq2seq | 0 | StRE: Self Attentive Edit Quality Prediction in Wikipedia | Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee | https://www.aclweb.org/anthology/P19-1387.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-energy, search-viterbi, struct-crf, latent-topic, task-seqlab, task-lm | 1 | DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction | Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang | https://www.aclweb.org/anthology/P19-1056.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mll, train-transfer, pool-max, pool-kmax, arch-lstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-fasttext, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations | Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, William Hu, Neha Verma, Dragomir Radev | https://www.aclweb.org/anthology/P19-1306.pdf |
| 2019 | ACL | # train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 0 | Literary Event Detection | Matthew Sims, Jong Ho Park, David Bamman | https://www.aclweb.org/anthology/P19-1353.pdf |
| 2019 | ACL | # optim-adadelta, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-glove, struct-crf, task-seqlab | 4 | Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks | Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/P19-1511.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, train-mll, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, adv-train | 2 | Adversarial Attention Modeling for Multi-dimensional Emotion Regression | Suyang Zhu, Shoushan Li, Guodong Zhou | https://www.aclweb.org/anthology/P19-1045.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-gradient, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-coverage, arch-subword, search-beam, pre-elmo, task-spanlab, task-lm, task-seq2seq, task-relation | 0 | Generating Question-Answer Hierarchies | Kalpesh Krishna, Mohit Iyyer | https://www.aclweb.org/anthology/P19-1224.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 | # reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, pre-fasttext | 0 | Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays | Zixuan Ke, Hrishikesh Inamdar, Hui Lin, Vincent Ng | https://www.aclweb.org/anthology/P19-1390.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, comb-ensemble, struct-crf | 1 | Cost-sensitive Regularization for Label Confusion-aware Event Detection | Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun | https://www.aclweb.org/anthology/P19-1521.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, activ-relu, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, pre-glove, task-textclass, task-condlm | 1 | Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model | Yitao Cai, Huiyu Cai, Xiaojun Wan | https://www.aclweb.org/anthology/P19-1239.pdf |
| 2019 | ACL | # optim-sgd, optim-adagrad, train-mtl, arch-recnn, arch-cnn, arch-att, pre-glove | 1 | Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision | Abiola Obamuyide, Andreas Vlachos | https://www.aclweb.org/anthology/P19-1589.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-relation | 3 | Reliability-aware Dynamic Feature Composition for Name Tagging | Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han | https://www.aclweb.org/anthology/P19-1016.pdf |
| 2019 | ACL | # 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, 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-adam, init-glorot, reg-dropout, norm-batch, pool-mean, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, latent-vae, latent-topic, task-lm | 1 | Open Domain Event Extraction Using Neural Latent Variable Models | Xiao Liu, Heyan Huang, Yue Zhang | https://www.aclweb.org/anthology/P19-1276.pdf |
| 2019 | ACL | # reg-dropout, train-mll, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, task-seq2seq, task-lexicon | 1 | Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering | Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan, Jiajun Chen | https://www.aclweb.org/anthology/P19-1616.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-cnn, arch-att, arch-bilinear | 4 | Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs | Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul | https://www.aclweb.org/anthology/P19-1466.pdf |
| 2019 | ACL | # optim-adagrad, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, latent-topic, task-seq2seq | 2 | BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization | Eva Sharma, Chen Li, Lu Wang | https://www.aclweb.org/anthology/P19-1212.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-sgd, arch-lstm, arch-cnn, arch-att, search-viterbi, pre-word2vec, task-textpair, task-condlm | 2 | Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video | Zhenfang Chen, Lin Ma, Wenhan Luo, Kwan-Yee Kenneth Wong | https://www.aclweb.org/anthology/P19-1183.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-copy, pre-glove, nondif-minrisk, latent-vae, task-seq2seq, task-relation | 7 | Towards Explainable NLP: A Generative Explanation Framework for Text Classification | Hui Liu, Qingyu Yin, William Yang Wang | https://www.aclweb.org/anthology/P19-1560.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-fasttext, pre-glove, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation, task-alignment | 1 | Exploring Sequence-to-Sequence Learning in Aspect Term Extraction | Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang | https://www.aclweb.org/anthology/P19-1344.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-word2vec, task-seqlab | 0 | Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge | Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng, Ying Shen | https://www.aclweb.org/anthology/P19-1430.pdf |
| 2019 | ACL | # optim-adagrad, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-memo, arch-transformer, pre-glove, pre-skipthought, task-textpair, task-lm, task-seq2seq | 0 | You Only Need Attention to Traverse Trees | Mahtab Ahmed, Muhammad Rifayat Samee, Robert E. Mercer | https://www.aclweb.org/anthology/P19-1030.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-labelsmooth, arch-lstm, arch-cnn, arch-att, arch-coverage, arch-transformer, latent-topic, task-seq2seq | 3 | Generating Summaries with Topic Templates and Structured Convolutional Decoders | Laura Perez-Beltrachini, Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/P19-1504.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-bert, struct-crf, task-seqlab, task-lm | 3 | Merge and Label: A Novel Neural Network Architecture for Nested NER | Joseph Fisher, Andreas Vlachos | https://www.aclweb.org/anthology/P19-1585.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, pre-paravec, pre-bert, task-relation | 1 | Multi-Task Learning for Coherence Modeling | Youmna Farag, Helen Yannakoudakis | https://www.aclweb.org/anthology/P19-1060.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, reg-stopping, reg-patience, train-active, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-glove, pre-bert, struct-cfg, adv-train, latent-vae, latent-topic, task-textclass, task-lm | 1 | Variational Pretraining for Semi-supervised Text Classification | Suchin Gururangan, Tam Dang, Dallas Card, Noah A. Smith | https://www.aclweb.org/anthology/P19-1590.pdf |
| 2019 | ACL | # train-mtl, arch-lstm, arch-cnn, arch-att, task-condlm, task-seq2seq | 0 | Learning to Relate from Captions and Bounding Boxes | Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli | https://www.aclweb.org/anthology/P19-1660.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-stopping, train-mtl, train-transfer, arch-cnn, arch-att, comb-ensemble, adv-train, latent-vae, latent-topic, task-textclass, task-seq2seq | 0 | Semi-supervised Stochastic Multi-Domain Learning using Variational Inference | Yitong Li, Timothy Baldwin, Trevor Cohn | https://www.aclweb.org/anthology/P19-1186.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-bert, task-relation | 0 | Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures | Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou | https://www.aclweb.org/anthology/P19-1432.pdf |
| 2019 | ACL | # optim-adam, 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 | # optim-adam, optim-projection, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-lm, task-seq2seq | 1 | Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation | Benjamin Heinzerling, Michael Strube | https://www.aclweb.org/anthology/P19-1027.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, pre-word2vec, task-extractive, task-seq2seq | 0 | This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation | Rui Zhang, Joel Tetreault | https://www.aclweb.org/anthology/P19-1043.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-cnn, struct-crf | 0 | A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition | Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur, Yi Yang | https://www.aclweb.org/anthology/P19-1587.pdf |
| 2019 | ACL | # optim-adam, train-augment, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-greedy, search-beam, pre-glove, task-condlm, task-seq2seq, task-tree | 2 | Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation | Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko | https://www.aclweb.org/anthology/P19-1655.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, comb-ensemble, struct-crf, task-seq2seq, task-tree | 2 | Robust Zero-Shot Cross-Domain Slot Filling with Example Values | Darsh Shah, Raghav Gupta, Amir Fayazi, Dilek Hakkani-Tur | https://www.aclweb.org/anthology/P19-1547.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-cnn, comb-ensemble, pre-bert, task-textclass, task-lm | 0 | A Surprisingly Robust Trick for the Winograd Schema Challenge | Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz | https://www.aclweb.org/anthology/P19-1478.pdf |
| 2019 | ACL | # optim-adam, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, adv-train, latent-vae | 1 | ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification | Wei Jia, Dai Dai, Xinyan Xiao, Hua Wu | https://www.aclweb.org/anthology/P19-1135.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, pre-glove, latent-vae, task-seq2seq | 1 | Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References | Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/P19-1372.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, 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 | # 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 | # train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-bert, task-textclass, task-spanlab, task-lm, task-seq2seq, task-cloze | 2 | Exploring Pre-trained Language Models for Event Extraction and Generation | Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li | https://www.aclweb.org/anthology/P19-1522.pdf |
| 2019 | ACL | # init-glorot, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-energy, comb-ensemble, pre-fasttext, pre-bert, struct-crf, task-relation | 0 | An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing | Zhisong Zhang, Xuezhe Ma, Eduard Hovy | https://www.aclweb.org/anthology/P19-1562.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, pool-max, pool-mean, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-bert, struct-crf, task-spanlab, task-lm | 0 | Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis | Junyi Du, He Jiang, Jiaming Shen, Xiang Ren | https://www.aclweb.org/anthology/P19-1420.pdf |
| 2019 | ACL | # optim-adam, arch-cnn, arch-att, arch-memo | 1 | NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language | Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel | https://www.aclweb.org/anthology/P19-1618.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-bert, struct-crf, task-seqlab, task-spanlab | 6 | Dynamically Fused Graph Network for Multi-hop Reasoning | Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu | https://www.aclweb.org/anthology/P19-1617.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 | # train-transfer, arch-cnn, pre-glove, task-textclass, task-seqlab | 8 | Celebrity Profiling | Matti Wiegmann, Benno Stein, Martin Potthast | https://www.aclweb.org/anthology/P19-1249.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-norm, arch-cnn, arch-att, arch-energy, pre-glove | 0 | Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses | Étienne Simon, Vincent Guigue, Benjamin Piwowarski | https://www.aclweb.org/anthology/P19-1133.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gnn, arch-cnn, arch-att, arch-memo, pre-glove, task-textpair | 1 | Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification | Zhi-Xiu Ye, Zhen-Hua Ling | https://www.aclweb.org/anthology/P19-1277.pdf |
| 2019 | ACL | # arch-cnn, pre-fasttext | 0 | Detecting Subevents using Discourse and Narrative Features | Mohammed Aldawsari, Mark Finlayson | https://www.aclweb.org/anthology/P19-1471.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-projection, train-mll, train-transfer, train-augment, arch-lstm, arch-cnn, arch-att, arch-bilinear, arch-subword, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation | 4 | Choosing Transfer Languages for Cross-Lingual Learning | Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig | https://www.aclweb.org/anthology/P19-1301.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-lstm, arch-cnn, arch-coverage, arch-subword, pre-fasttext, task-seq2seq | 0 | SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings | Chengyu Wang, Xiaofeng He, Aoying Zhou | https://www.aclweb.org/anthology/P19-1169.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-memo, arch-copy, pre-glove, task-relation | 4 | GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction | Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma | https://www.aclweb.org/anthology/P19-1136.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, pre-elmo, task-lm, task-relation | 1 | Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution | Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan | https://www.aclweb.org/anthology/P19-1409.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | ner and pos when nothing is capitalized | Stephen Mayhew, Tatiana Tsygankova, Dan Roth | https://www.aclweb.org/anthology/D19-1650.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 | # arch-rnn, arch-cnn | 0 | Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature | Bonan Min, Yee Seng Chan, Haoling Qiu, Joshua Fasching | https://www.aclweb.org/anthology/D19-1680.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-elmo, task-extractive | 5 | Neural Extractive Text Summarization with Syntactic Compression | Jiacheng Xu, Greg Durrett | https://www.aclweb.org/anthology/D19-1324.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce, task-textclass, task-seq2seq, task-tree | 0 | Automatically Learning Data Augmentation Policies for Dialogue Tasks | Tong Niu, Mohit Bansal | https://www.aclweb.org/anthology/D19-1132.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 | # optim-adam, optim-projection, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, arch-transformer, struct-crf, task-seqlab | 1 | Low-Resource Name Tagging Learned with Weakly Labeled Data | Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu, Heng Ji | https://www.aclweb.org/anthology/D19-1025.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, pool-max, arch-gru, arch-gnn, arch-cnn, arch-att, arch-coverage, task-seq2seq | 0 | Learning to Update Knowledge Graphs by Reading News | Jizhi Tang, Yansong Feng, Dongyan Zhao | https://www.aclweb.org/anthology/D19-1265.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 | # activ-relu, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-relation, task-tree | 1 | Dependency-Guided LSTM-CRF for Named Entity Recognition | Zhanming Jie, Wei Lu | https://www.aclweb.org/anthology/D19-1399.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, search-beam, search-viterbi, nondif-reinforce, latent-vae, task-seq2seq | 0 | Low-Resource Response Generation with Template Prior | Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li | https://www.aclweb.org/anthology/D19-1197.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, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, search-beam, pre-bert, task-spanlab, task-lm, task-seq2seq | 0 | Restoring ancient text using deep learning: a case study on Greek epigraphy | Yannis Assael, Thea Sommerschield, Jonathan Prag | https://www.aclweb.org/anthology/D19-1668.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, pool-max, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, struct-crf, task-lm, task-seq2seq | 0 | A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis | Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou | https://www.aclweb.org/anthology/D19-1559.pdf |
| 2019 | EMNLP | # arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Weakly Supervised Attention Networks for Entity Recognition | Barun Patra, Joel Ruben Antony Moniz | https://www.aclweb.org/anthology/D19-1652.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, search-greedy, search-beam, pre-word2vec, pre-glove, loss-svd, task-seq2seq | 0 | Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning | Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang | https://www.aclweb.org/anthology/D19-1207.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-cnn, pre-glove, struct-crf, latent-vae, task-lm | 0 | Learning with Noisy Labels for Sentence-level Sentiment Classification | Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang, Tianrui Li | https://www.aclweb.org/anthology/D19-1655.pdf |
| 2019 | EMNLP | # reg-dropout, train-active, arch-lstm, arch-cnn, comb-ensemble, search-viterbi, struct-crf, latent-vae, task-seqlab | 1 | A Bayesian Approach for Sequence Tagging with Crowds | Edwin D. Simpson, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1101.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, pre-fasttext, task-textclass | 0 | PRADO: Projection Attention Networks for Document Classification On-Device | Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva | https://www.aclweb.org/anthology/D19-1506.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo | 0 | Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree | Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu | https://www.aclweb.org/anthology/D19-1569.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-lstm, arch-cnn, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert | 0 | An Improved Neural Baseline for Temporal Relation Extraction | Qiang Ning, Sanjay Subramanian, Dan Roth | https://www.aclweb.org/anthology/D19-1642.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, train-mll, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, pre-bert, adv-train, latent-topic, task-lexicon | 1 | Contrastive Language Adaptation for Cross-Lingual Stance Detection | Mitra Mohtarami, James Glass, Preslav Nakov | https://www.aclweb.org/anthology/D19-1452.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-layer, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-residual, search-beam, struct-crf, task-lm, task-seq2seq | 0 | Efficient Convolutional Neural Networks for Diacritic Restoration | Sawsan Alqahtani, Ajay Mishra, Mona Diab | https://www.aclweb.org/anthology/D19-1151.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-augment, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textpair, task-spanlab, task-lm, task-tree | 0 | Do NLP Models Know Numbers? Probing Numeracy in Embeddings | Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner | https://www.aclweb.org/anthology/D19-1534.pdf |
| 2019 | EMNLP | # 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, reg-dropout, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-copy, task-seq2seq | 0 | Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever | Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu | https://www.aclweb.org/anthology/D19-1013.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-cnn, arch-att, pre-glove, task-textclass | 0 | Human-grounded Evaluations of Explanation Methods for Text Classification | Piyawat Lertvittayakumjorn, Francesca Toni | https://www.aclweb.org/anthology/D19-1523.pdf |
| 2019 | EMNLP | # reg-dropout, reg-worddropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, latent-vae, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features | Hongyin Tang, Miao Li, Beihong Jin | https://www.aclweb.org/anthology/D19-1513.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gnn, arch-cnn, arch-att, arch-memo, arch-transformer, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab, task-lm, task-relation | 1 | A Lexicon-Based Graph Neural Network for Chinese NER | Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang | https://www.aclweb.org/anthology/D19-1096.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-elmo, struct-crf, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semi-Supervised Semantic Role Labeling with Cross-View Training | Rui Cai, Mirella Lapata | https://www.aclweb.org/anthology/D19-1094.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # arch-lstm, arch-bilstm, arch-cnn, struct-crf, task-seqlab | 0 | Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines | Mahmoud Azab, Stephane Dadian, Vivi Nastase, Larry An, Rada Mihalcea | https://www.aclweb.org/anthology/D19-1122.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, train-augment, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-word2vec, pre-skipthought, pre-bert, task-textclass, task-textpair, task-seq2seq | 0 | Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach | Zhenjie Zhao, Xiaojuan Ma | https://www.aclweb.org/anthology/D19-1408.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 | # arch-rnn, arch-cnn, pre-glove | 0 | Learning to Bootstrap for Entity Set Expansion | Lingyong Yan, Xianpei Han, Le Sun, Ben He | https://www.aclweb.org/anthology/D19-1028.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-cnn, arch-att, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-bert, task-spanlab, task-lm, task-relation, task-tree | 0 | Linking artificial and human neural representations of language | Jon Gauthier, Roger Levy | https://www.aclweb.org/anthology/D19-1050.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, arch-cnn, arch-att, arch-gating, arch-coverage, arch-transformer, pre-bert, loss-margin, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Aligning Cross-Lingual Entities with Multi-Aspect Information | Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun | https://www.aclweb.org/anthology/D19-1451.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-bert, loss-triplet | 0 | Improving Answer Selection and Answer Triggering using Hard Negatives | Sawan Kumar, Shweta Garg, Kartik Mehta, Nikhil Rasiwasia | https://www.aclweb.org/anthology/D19-1604.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-coverage, pre-glove, pre-bert, task-textpair, task-spanlab, task-seq2seq | 1 | Better Rewards Yield Better Summaries: Learning to Summarise Without References | Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1307.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, arch-lstm, arch-gru, arch-cnn, pre-word2vec, pre-skipthought, task-textpair, task-lm, task-seq2seq, task-lexicon | 0 | Incorporating Visual Semantics into Sentence Representations within a Grounded Space | Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari | https://www.aclweb.org/anthology/D19-1064.pdf |
| 2019 | EMNLP | # optim-adam, optim-adagrad, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-bilinear, arch-coverage, search-beam, task-extractive, task-seq2seq | 0 | How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing | Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1388.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-bert, task-textpair, task-seqlab, task-lm | 0 | IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis | Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu | https://www.aclweb.org/anthology/D19-3017.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, optim-projection, reg-dropout, arch-gru, arch-cnn, arch-att, arch-coverage, task-lm | 0 | Neural News Recommendation with Heterogeneous User Behavior | Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1493.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 | # optim-adam, init-glorot, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, adv-train | 0 | Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network | Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen | https://www.aclweb.org/anthology/D19-1487.pdf |
| 2019 | EMNLP | # reg-dropout, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, task-relation | 0 | Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction | Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren | https://www.aclweb.org/anthology/D19-1397.pdf |
| 2019 | EMNLP | # reg-stopping, train-mtl, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-hmm, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Similarity Based Auxiliary Classifier for Named Entity Recognition | Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong | https://www.aclweb.org/anthology/D19-1105.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 | # optim-adam, reg-stopping, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, pre-elmo | 0 | Rewarding Coreference Resolvers for Being Consistent with World Knowledge | Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Herschcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard | https://www.aclweb.org/anthology/D19-1118.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mll, train-transfer, arch-cnn, arch-transformer, pre-bert, task-textclass, task-lm, task-seq2seq, task-relation | 0 | Cross-lingual intent classification in a low resource industrial setting | Talaat Khalil, Kornel Kiełczewski, Georgios Christos Chouliaras, Amina Keldibek, Maarten Versteegh | https://www.aclweb.org/anthology/D19-1676.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment | 0 | Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping | Jian Ni, Radu Florian | https://www.aclweb.org/anthology/D19-1038.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, pool-max, arch-gcnn, arch-cnn, arch-att, pre-glove, task-textclass, task-condlm, task-seq2seq | 0 | Hierarchical Text Classification with Reinforced Label Assignment | Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren | https://www.aclweb.org/anthology/D19-1042.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, 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, train-mtl, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-spanlab, task-lm, task-seq2seq | 2 | Knowledge Enhanced Contextual Word Representations | Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith | https://www.aclweb.org/anthology/D19-1005.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-stopping, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-seqlab | 0 | Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks | Hailong Jin, Lei Hou, Juanzi Li, Tiansi Dong | https://www.aclweb.org/anthology/D19-1502.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, nondif-gumbelsoftmax, loss-svd, task-lm, task-seq2seq | 0 | MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model | Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh | https://www.aclweb.org/anthology/D19-1529.pdf |
| 2019 | EMNLP | # optim-amsgrad, reg-dropout, reg-decay, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, comb-ensemble, search-beam, task-relation | 0 | A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection | Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou | https://www.aclweb.org/anthology/D19-1381.pdf |
| 2019 | EMNLP | # reg-dropout, train-active, arch-lstm, arch-cnn, arch-att, arch-coverage, pre-glove, task-textclass | 1 | Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes | Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani | https://www.aclweb.org/anthology/D19-1580.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, pre-fasttext, pre-bert, task-spanlab, task-seq2seq | 0 | Finding Generalizable Evidence by Learning to Convince Q&A Models | Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho | https://www.aclweb.org/anthology/D19-1244.pdf |
| 2019 | EMNLP | # train-mll, arch-lstm, arch-cnn, arch-att, arch-memo, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 1 | EntEval: A Holistic Evaluation Benchmark for Entity Representations | Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1040.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att | 0 | Easy First Relation Extraction with Information Redundancy | Shuai Ma, Gang Wang, Yansong Feng, Jinpeng Huai | https://www.aclweb.org/anthology/D19-1398.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 | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage | 0 | Charge-Based Prison Term Prediction with Deep Gating Network | Huajie Chen, Deng Cai, Wei Dai, Zehui Dai, Yadong Ding | https://www.aclweb.org/anthology/D19-1667.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, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, nondif-minrisk, nondif-reinforce, task-seq2seq | 0 | Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning | Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1035.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-viterbi, struct-crf | 0 | Event Detection with Trigger-Aware Lattice Neural Network | Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin | https://www.aclweb.org/anthology/D19-1033.pdf |
| 2019 | EMNLP | # optim-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, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-glove, adv-train, latent-topic, task-textclass, task-seq2seq | 0 | Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis | Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li | https://www.aclweb.org/anthology/D19-1478.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-transformer, pre-glove | 0 | Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs | Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou | https://www.aclweb.org/anthology/D19-1498.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, nondif-reinforce | 0 | Learning Dynamic Context Augmentation for Global Entity Linking | Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren | https://www.aclweb.org/anthology/D19-1026.pdf |
| 2019 | EMNLP | # optim-sgd, init-glorot, train-mtl, train-transfer, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, adv-train | 0 | Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification | Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su | https://www.aclweb.org/anthology/D19-1558.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-decay, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass | 0 | Using Clinical Notes with Time Series Data for ICU Management | Swaraj Khadanga, Karan Aggarwal, Shafiq Joty, Jaideep Srivastava | https://www.aclweb.org/anthology/D19-1678.pdf |
| 2019 | EMNLP | # reg-dropout, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, pre-fasttext | 0 | Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization | Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si | https://www.aclweb.org/anthology/D19-1237.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, pool-max, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, task-textclass, task-seq2seq | 1 | Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification | Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu | https://www.aclweb.org/anthology/D19-1551.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, pool-max, arch-rnn, arch-lstm, arch-gru, arch-gcnn, arch-cnn, arch-att, arch-memo, pre-glove | 1 | DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation | Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh | https://www.aclweb.org/anthology/D19-1015.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-residual, arch-coverage, pre-glove, task-textpair, task-lm, task-relation, task-tree | 0 | Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling | Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin | https://www.aclweb.org/anthology/D19-1114.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-glove, pre-bert, task-textclass, task-lm, task-seq2seq, meta-arch | 1 | RNN Architecture Learning with Sparse Regularization | Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith | https://www.aclweb.org/anthology/D19-1110.pdf |
| 2019 | EMNLP | # optim-projection, train-mtl, arch-cnn, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-spanlab, task-lm, task-cloze | 9 | Patient Knowledge Distillation for BERT Model Compression | Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu | https://www.aclweb.org/anthology/D19-1441.pdf |
| 2019 | EMNLP | # train-active, arch-lstm, arch-bilstm, arch-cnn, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm | 1 | CrossWeigh: Training Named Entity Tagger from Imperfect Annotations | Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han | https://www.aclweb.org/anthology/D19-1519.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, pre-glove, task-condlm, task-seq2seq, task-relation | 0 | Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks | Chen Zhang, Qiuchi Li, Dawei Song | https://www.aclweb.org/anthology/D19-1464.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, arch-lstm, arch-cnn, arch-att, nondif-reinforce, adv-train, task-textpair | 0 | DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning | Ruiping Li, Xiang Cheng | https://www.aclweb.org/anthology/D19-1266.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-word2vec, task-textclass, task-seq2seq | 1 | Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification | Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma | https://www.aclweb.org/anthology/D19-1043.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn | 0 | Visual Detection with Context for Document Layout Analysis | Carlos Soto, Shinjae Yoo | https://www.aclweb.org/anthology/D19-1348.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adadelta, reg-dropout, pool-max, arch-cnn, arch-att, arch-memo, adv-train, latent-vae | 0 | Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework | Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu | https://www.aclweb.org/anthology/D19-1031.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-transfer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, pre-bert, task-seq2seq, task-relation, task-tree | 0 | Leveraging Dependency Forest for Neural Medical Relation Extraction | Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su | https://www.aclweb.org/anthology/D19-1020.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq | 0 | Reading Like HER: Human Reading Inspired Extractive Summarization | Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He | https://www.aclweb.org/anthology/D19-1300.pdf |
| 2019 | EMNLP | # optim-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 | # optim-adam, optim-projection, arch-rnn, arch-gru, arch-cnn, arch-att, arch-memo, arch-copy, task-spanlab, task-seq2seq | 0 | DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs | Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee | https://www.aclweb.org/anthology/D19-1194.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-adagrad, optim-projection, reg-dropout, train-mll, arch-rnn, arch-cnn, arch-bilinear, arch-subword, pre-fasttext, pre-glove, task-textclass, task-lm, task-lexicon | 0 | Cross-lingual Semantic Specialization via Lexical Relation Induction | Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1226.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-rnn, arch-cnn, arch-att, arch-transformer, task-condlm, task-seq2seq | 0 | Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations | Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez | https://www.aclweb.org/anthology/D19-3026.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, pre-bert, task-textclass, task-seq2seq | 0 | HMEAE: Hierarchical Modular Event Argument Extraction | Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren | https://www.aclweb.org/anthology/D19-1584.pdf |
| 2019 | EMNLP | # optim-adam, norm-batch, pool-mean, arch-rnn, arch-cnn | 0 | Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting | Jaejun Lee, Raphael Tang, Jimmy Lin | https://www.aclweb.org/anthology/D19-3016.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, pool-max, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, pre-fasttext, adv-train, task-textclass, task-seqlab, task-seq2seq, task-relation, task-alignment | 0 | Cross-lingual Structure Transfer for Relation and Event Extraction | Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss | https://www.aclweb.org/anthology/D19-1030.pdf |
| 2019 | EMNLP | # arch-cnn, arch-att, arch-memo, arch-subword, pre-bert, adv-train, task-seqlab | 1 | OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction | Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun | https://www.aclweb.org/anthology/D19-3029.pdf |
| 2019 | EMNLP | # 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 | # arch-cnn, arch-coverage, task-seqlab, task-relation, task-tree | 0 | What’s Wrong with Hebrew NLP? And How to Make it Right | Reut Tsarfaty, Shoval Sadde, Stav Klein, Amit Seker | https://www.aclweb.org/anthology/D19-3044.pdf |
| 2019 | EMNLP | # arch-lstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-seq2seq | 0 | Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification | Vivian Lai, Zheng Cai, Chenhao Tan | https://www.aclweb.org/anthology/D19-1046.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, activ-tanh, arch-lstm, arch-gru, arch-cnn, arch-att, arch-memo, pre-glove, pre-bert, task-lm, task-seq2seq, task-relation | 1 | Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks | Binxuan Huang, Kathleen Carley | https://www.aclweb.org/anthology/D19-1549.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Semantic Relatedness Based Re-ranker for Text Spotting | Ahmed Sabir, Francesc Moreno, Lluís Padró | https://www.aclweb.org/anthology/D19-1346.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-gnn, arch-cnn, arch-att, latent-topic, loss-svd | 0 | Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network | Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1494.pdf |
| 2019 | EMNLP | # optim-sgd, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, nondif-reinforce | 0 | Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews | Miao Fan, Chao Feng, Mingming Sun, Ping Li | https://www.aclweb.org/anthology/D19-1177.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 | # reg-dropout, train-mtl, train-transfer, arch-rnn, arch-cnn, arch-att, arch-subword, pre-word2vec, pre-bert, loss-nce, task-textclass, task-lm, task-seq2seq | 0 | Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification | Oren Melamud, Mihaela Bornea, Ken Barker | https://www.aclweb.org/anthology/D19-1401.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, search-beam, task-lm, task-condlm, task-seq2seq | 0 | Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag | Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang, Chunhong Pan | https://www.aclweb.org/anthology/D19-1213.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-cnn, arch-att, task-seq2seq, task-alignment | 0 | A Deep Neural Information Fusion Architecture for Textual Network Embeddings | Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang | https://www.aclweb.org/anthology/D19-1476.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-word2vec, pre-glove, struct-crf, task-textclass, task-seqlab | 2 | Practical Obstacles to Deploying Active Learning | David Lowell, Zachary C. Lipton, Byron C. Wallace | https://www.aclweb.org/anthology/D19-1003.pdf |
| 2019 | EMNLP | # train-mll, train-augment, arch-rnn, arch-cnn, arch-att, arch-coverage, arch-subword, pre-fasttext, task-relation | 0 | Weakly Supervised Multilingual Causality Extraction from Wikipedia | Chikara Hashimoto | https://www.aclweb.org/anthology/D19-1296.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Shallow Domain Adaptive Embeddings for Sentiment Analysis | Prathusha K Sarma, Yingyu Liang, William Sethares | https://www.aclweb.org/anthology/D19-1557.pdf |
| 2019 | EMNLP | # reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, pre-word2vec, latent-vae, latent-topic | 1 | Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification | Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li | https://www.aclweb.org/anthology/D19-1488.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-active, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-fasttext, task-textclass, task-lm, meta-arch | 0 | Sampling Bias in Deep Active Classification: An Empirical Study | Ameya Prabhu, Charles Dognin, Maneesh Singh | https://www.aclweb.org/anthology/D19-1417.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, reg-dropout, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, search-beam, pre-word2vec, struct-crf, latent-vae, task-seqlab, task-lm, task-relation, task-tree | 0 | Neural Generative Rhetorical Structure Parsing | Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos | https://www.aclweb.org/anthology/D19-1233.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, arch-lstm, arch-cnn, arch-coverage, pre-glove, struct-cfg, task-lm | 0 | What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments | David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan | https://www.aclweb.org/anthology/D19-1289.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, optim-projection, reg-dropout, reg-stopping, train-augment, arch-rnn, arch-lstm, arch-cnn, arch-att, pre-glove, adv-examp, adv-train, task-textpair, task-lm, task-seq2seq | 2 | Certified Robustness to Adversarial Word Substitutions | Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang | https://www.aclweb.org/anthology/D19-1423.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, pool-max, arch-lstm, arch-cnn, arch-att, adv-train | 0 | Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data | Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun | https://www.aclweb.org/anthology/D19-1021.pdf |
| 2019 | EMNLP | # optim-adam, 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-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, pre-word2vec, adv-train | 0 | Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction | Xiang Deng, Huan Sun | https://www.aclweb.org/anthology/D19-1039.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, arch-subword, task-lm, task-condlm, task-seq2seq, task-alignment | 0 | Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator | Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow | https://www.aclweb.org/anthology/D19-1390.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, arch-lstm, arch-cnn, pre-glove, task-textclass | 0 | Learning Only from Relevant Keywords and Unlabeled Documents | Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama | https://www.aclweb.org/anthology/D19-1411.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-cnn, arch-att, search-beam, nondif-reinforce, task-relation | 0 | Collaborative Policy Learning for Open Knowledge Graph Reasoning | Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren | https://www.aclweb.org/anthology/D19-1269.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-cnn, nondif-reinforce, adv-train, latent-vae, task-lm | 0 | Learning Rhyming Constraints using Structured Adversaries | Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/D19-1621.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seq2seq | 0 | Multi-Task Stance Detection with Sentiment and Stance Lexicons | Yingjie Li, Cornelia Caragea | https://www.aclweb.org/anthology/D19-1657.pdf |
| 2019 | EMNLP | # train-mtl, arch-lstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, pre-bert, task-relation | 0 | A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature | He Zhao, Zhunchen Luo, Chong Feng, Anqing Zheng, Xiaopeng Liu | https://www.aclweb.org/anthology/D19-1524.pdf |
| 2019 | EMNLP | # pool-max, arch-rnn, arch-cnn, arch-att, pre-word2vec, latent-topic, task-textclass | 0 | The Myth of Double-Blind Review Revisited: ACL vs. EMNLP | Cornelia Caragea, Ana Uban, Liviu P. Dinu | https://www.aclweb.org/anthology/D19-1236.pdf |
| 2019 | EMNLP | # optim-sgd, init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-memo, search-viterbi, struct-crf, task-seqlab, task-relation | 0 | Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph | Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen | https://www.aclweb.org/anthology/D19-1508.pdf |
| 2019 | EMNLP | # reg-dropout, reg-stopping, reg-patience, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-transformer, comb-ensemble, pre-bert, task-textclass, task-textpair, task-spanlab | 0 | MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims | Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen | https://www.aclweb.org/anthology/D19-1475.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, meta-arch | 0 | Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition | Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu | https://www.aclweb.org/anthology/D19-1367.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 | # optim-sgd, optim-projection, init-glorot, arch-cnn, arch-att, arch-bilinear, comb-ensemble, loss-margin, task-textpair | 0 | Representation Learning with Ordered Relation Paths for Knowledge Graph Completion | Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang | https://www.aclweb.org/anthology/D19-1268.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-cnn, arch-att, arch-memo, arch-copy, task-extractive, task-seq2seq | 4 | Neural Text Summarization: A Critical Evaluation | Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/D19-1051.pdf |
| 2019 | EMNLP | # arch-lstm, arch-cnn, arch-transformer, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons | Ji Xin, Jimmy Lin, Yaoliang Yu | https://www.aclweb.org/anthology/D19-1591.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-cnn, task-lm, task-condlm | 0 | Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation | Mingyang Zhou, Josh Arnold, Zhou Yu | https://www.aclweb.org/anthology/D19-1014.pdf |
| 2019 | EMNLP | # reg-dropout, reg-stopping, reg-patience, arch-lstm, arch-cnn, search-viterbi, pre-word2vec, pre-fasttext, pre-elmo, pre-bert | 0 | HARE: a Flexible Highlighting Annotator for Ranking and Exploration | Denis Newman-Griffis, Eric Fosler-Lussier | https://www.aclweb.org/anthology/D19-3015.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, loss-svd, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Neural Cross-Lingual Event Detection with Minimal Parallel Resources | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1068.pdf |
| 2019 | EMNLP | # train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-bert, task-extractive | 1 | Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses | Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis | https://www.aclweb.org/anthology/D19-1620.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, 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, 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 | # arch-cnn, arch-att, pre-fasttext, pre-glove, pre-bert, loss-nce, task-textclass | 0 | An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction | Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang, Jason Mars | https://www.aclweb.org/anthology/D19-1131.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-coverage | 0 | Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts | Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O’Connor, Mohit Iyyer | https://www.aclweb.org/anthology/D19-1666.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-bert, struct-crf, task-extractive, task-seq2seq, task-relation | 0 | Extractive Summarization of Long Documents by Combining Global and Local Context | Wen Xiao, Giuseppe Carenini | https://www.aclweb.org/anthology/D19-1298.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 | # optim-adam, train-transfer, arch-lstm, arch-bilstm, arch-cnn, nondif-reinforce, adv-examp, task-textclass, task-seq2seq | 0 | Adversarial Reprogramming of Text Classification Neural Networks | Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar | https://www.aclweb.org/anthology/D19-1525.pdf |
| 2019 | EMNLP | # reg-dropout, reg-norm, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-bilinear, pre-word2vec, pre-bert, latent-topic, task-textclass, task-lm, task-seq2seq | 0 | Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training | Giannis Karamanolakis, Daniel Hsu, Luis Gravano | https://www.aclweb.org/anthology/D19-1468.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-subword, struct-crf, latent-topic, task-seqlab, task-seq2seq | 1 | A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers | Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/D19-1520.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-cnn, arch-att, comb-ensemble, pre-bert, struct-crf | 0 | Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge | Kazuma Kadowaki, Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Julien Kloetzer | https://www.aclweb.org/anthology/D19-1590.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-cnn, arch-att, arch-selfatt, pre-word2vec, adv-train, task-lm, task-seq2seq | 0 | Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification | Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun | https://www.aclweb.org/anthology/D19-1553.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-stopping, train-mll, train-augment, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-transformer, pre-bert, adv-examp, adv-train, task-textclass, task-lm, task-seq2seq | 0 | LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification | Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun | https://www.aclweb.org/anthology/D19-1554.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, arch-cnn, arch-att, pre-word2vec, pre-fasttext, task-textclass, task-seq2seq | 0 | ProSeqo: Projection Sequence Networks for On-Device Text Classification | Zornitsa Kozareva, Sujith Ravi | https://www.aclweb.org/anthology/D19-1402.pdf |
| 2019 | EMNLP | # optim-adam, arch-cnn, arch-att, arch-coverage, pre-glove, pre-bert, latent-topic, task-spanlab | 1 | Question Answering for Privacy Policies: Combining Computational and Legal Perspectives | Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, Norman Sadeh | https://www.aclweb.org/anthology/D19-1500.pdf |
| 2019 | EMNLP | # train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-memo, arch-transformer, pre-glove, pre-elmo, pre-bert, latent-vae, task-lm, task-seq2seq | 0 | Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains | Wei Shi, Vera Demberg | https://www.aclweb.org/anthology/D19-1586.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-recnn, arch-cnn, arch-att, arch-memo, arch-copy, comb-ensemble, pre-word2vec, task-tree | 0 | Tree-structured Decoding for Solving Math Word Problems | Qianying Liu, Wenyv Guan, Sujian Li, Daisuke Kawahara | https://www.aclweb.org/anthology/D19-1241.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-mll, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-memo, pre-skipthought, pre-elmo, pre-bert, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations | Mingda Chen, Zewei Chu, Kevin Gimpel | https://www.aclweb.org/anthology/D19-1060.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-cnn, pre-fasttext, pre-glove, pre-bert, adv-examp, adv-train, task-textclass, task-spanlab, task-seq2seq | 3 | Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack | Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston | https://www.aclweb.org/anthology/D19-1461.pdf |
| 2019 | EMNLP | # optim-adam, reg-stopping, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-transformer, pre-bert, adv-train, latent-topic, task-lm | 0 | Neural Duplicate Question Detection without Labeled Training Data | Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1171.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-coverage, pre-word2vec, struct-crf, latent-vae, loss-nce, task-seqlab, task-relation | 0 | Neural Chinese Address Parsing | Hao Li, Wei Lu, Pengjun Xie, Linlin Li | https://www.aclweb.org/anthology/N19-1346.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, task-seq2seq | 4 | Positional Encoding to Control Output Sequence Length | Sho Takase, Naoaki Okazaki | https://www.aclweb.org/anthology/N19-1401.pdf |
| 2019 | NAA-CL | # reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, search-beam, pre-glove, nondif-reinforce, latent-vae, task-seq2seq, task-tree | 4 | UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering | Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, Lun-Wei Ku | https://www.aclweb.org/anthology/N19-1031.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 | # arch-rnn, arch-cnn, pre-word2vec, loss-svd, task-textclass, task-relation | 1 | Vector of Locally Aggregated Embeddings for Text Representation | Hadi Amiri, Mitra Mohtarami | https://www.aclweb.org/anthology/N19-1143.pdf |
| 2019 | NAA-CL | # reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-glove, task-textpair, task-seq2seq | 1 | Simple Attention-Based Representation Learning for Ranking Short Social Media Posts | Peng Shi, Jinfeng Rao, Jimmy Lin | https://www.aclweb.org/anthology/N19-1229.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-sgd, optim-adam, optim-projection, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-glove, task-textclass, task-textpair, task-condlm, task-seq2seq | 59 | Attention is not Explanation | Sarthak Jain, Byron C. Wallace | https://www.aclweb.org/anthology/N19-1357.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, pre-glove | 0 | Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition | Jumayel Islam, Robert E. Mercer, Lu Xiao | https://www.aclweb.org/anthology/N19-1137.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, arch-cnn, arch-coverage, nondif-gumbelsoftmax, latent-topic, task-textclass, task-seq2seq | 1 | Cross-Topic Distributional Semantic Representations Via Unsupervised Mappings | Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos | https://www.aclweb.org/anthology/N19-1110.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-subword, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, latent-vae, task-seq2seq, task-relation | 1 | Detecting Cybersecurity Events from Noisy Short Text | Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli | https://www.aclweb.org/anthology/N19-1138.pdf |
| 2019 | NAA-CL | # optim-adam, arch-cnn, arch-att, arch-coverage, pre-elmo, pre-bert, task-textclass, task-spanlab, task-lm, task-cloze | 19 | BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis | Hu Xu, Bing Liu, Lei Shu, Philip Yu | https://www.aclweb.org/anthology/N19-1242.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, optim-projection, reg-dropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, search-beam, task-condlm, task-seq2seq, task-tree | 0 | Context Dependent Semantic Parsing over Temporally Structured Data | Charles Chen, Razvan Bunescu | https://www.aclweb.org/anthology/N19-1360.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq | 2 | Jointly Extracting and Compressing Documents with Summary State Representations | Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen | https://www.aclweb.org/anthology/N19-1397.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-transfer, arch-lstm, arch-cnn, arch-memo, latent-vae, task-lm | 3 | Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling | Prince Zizhuang Wang, William Yang Wang | https://www.aclweb.org/anthology/N19-1025.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, 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-adam, reg-dropout, reg-stopping, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-subword, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, task-relation | 3 | Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging | Apostolos Kemos, Heike Adel, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1280.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment | 0 | Zero-Shot Cross-Lingual Opinion Target Extraction | Soufian Jebbara, Philipp Cimiano | https://www.aclweb.org/anthology/N19-1257.pdf |
| 2019 | NAA-CL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-bilinear, arch-coverage, arch-subword, search-beam, search-viterbi, struct-crf, latent-topic, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | Incorporating Word Attention into Character-Based Word Segmentation | Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto, Isaac Okada | https://www.aclweb.org/anthology/N19-1276.pdf |
| 2019 | NAA-CL | # init-glorot, reg-dropout, reg-worddropout, arch-cnn, arch-att, arch-coverage, pre-glove, latent-topic, task-textpair, task-seq2seq, task-relation, task-tree | 1 | No Permanent Friends or Enemies: Tracking Relationships between Nations from News | Xiaochuang Han, Eunsol Choi, Chenhao Tan | https://www.aclweb.org/anthology/N19-1167.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 | # norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm, task-condlm, task-seq2seq | 5 | Evaluating Text GANs as Language Models | Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant | https://www.aclweb.org/anthology/N19-1233.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, pool-max, arch-cnn, arch-att, adv-train, latent-vae, task-textclass | 0 | Exploiting Noisy Data in Distant Supervision Relation Classification | Kaijia Yang, Liang He, Xin-yu Dai, Shujian Huang, Jiajun Chen | https://www.aclweb.org/anthology/N19-1325.pdf |
| 2019 | NAA-CL | # 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 | # reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, arch-coverage, pre-bert, adv-examp, adv-train, task-textclass, task-condlm, task-seq2seq | 3 | Adversarial Training for Weakly Supervised Event Detection | Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li | https://www.aclweb.org/anthology/N19-1105.pdf |
| 2019 | NAA-CL | # optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-cnn, arch-att, pre-glove, pre-elmo, pre-bert, task-lm | 4 | Structural Scaffolds for Citation Intent Classification in Scientific Publications | Arman Cohan, Waleed Ammar, Madeleine van Zuylen, Field Cady | https://www.aclweb.org/anthology/N19-1361.pdf |
| 2019 | NAA-CL | # 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-adam, reg-dropout, train-active, pool-max, arch-rnn, arch-cnn, arch-att | 0 | Saliency Learning: Teaching the Model Where to Pay Attention | Reza Ghaeini, Xiaoli Fern, Hamed Shahbazi, Prasad Tadepalli | https://www.aclweb.org/anthology/N19-1404.pdf |
| 2019 | NAA-CL | # init-glorot, reg-dropout, train-transfer, pool-max, arch-rnn, arch-cnn, arch-att, comb-ensemble, pre-glove, adv-train, loss-triplet, task-lm | 1 | Adversarial Category Alignment Network for Cross-domain Sentiment Classification | Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou | https://www.aclweb.org/anthology/N19-1258.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-gating, arch-energy, search-viterbi, pre-word2vec, pre-skipthought, struct-hmm, struct-crf, adv-train, task-textclass, task-seq2seq | 0 | Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation | Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq Joty | https://www.aclweb.org/anthology/N19-1134.pdf |
| 2019 | NAA-CL | # 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, pool-max, arch-cnn, pre-glove | 4 | Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media | Shi Zong, Alan Ritter, Graham Mueller, Evan Wright | https://www.aclweb.org/anthology/N19-1140.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, arch-att, arch-memo, task-textpair, task-relation, task-graph | 3 | Biomedical Event Extraction based on Knowledge-driven Tree-LSTM | Diya Li, Lifu Huang, Heng Ji, Jiawei Han | https://www.aclweb.org/anthology/N19-1145.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-glove, task-textclass | 0 | Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture | Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama | https://www.aclweb.org/anthology/N19-1318.pdf |
| 2019 | NAA-CL | # train-mtl, train-mll, arch-cnn, comb-ensemble | 0 | Strong Baselines for Complex Word Identification across Multiple Languages | Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego, Andreas Vlachos | https://www.aclweb.org/anthology/N19-1102.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adagrad, optim-adadelta, optim-projection, reg-dropout, reg-norm, train-mll, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-gating, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 7 | Polyglot Contextual Representations Improve Crosslingual Transfer | Phoebe Mulcaire, Jungo Kasai, Noah A. Smith | https://www.aclweb.org/anthology/N19-1392.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-cnn, arch-memo, pre-glove, loss-nce, task-spanlab, task-lm, task-seq2seq | 0 | Harry Potter and the Action Prediction Challenge from Natural Language | David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/N19-1218.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-cnn, arch-att, task-textpair | 0 | AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification | Santosh Tokala, Vishal G, Avirup Saha, Niloy Ganguly | https://www.aclweb.org/anthology/N19-1230.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation | 6 | Guiding Extractive Summarization with Question-Answering Rewards | Kristjan Arumae, Fei Liu | https://www.aclweb.org/anthology/N19-1264.pdf |
| 2019 | NAA-CL | # optim-projection, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, pre-elmo, struct-crf, adv-train, task-seqlab, task-relation | 10 | A general framework for information extraction using dynamic span graphs | Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, Hannaneh Hajishirzi | https://www.aclweb.org/anthology/N19-1308.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-subword, pre-fasttext, task-textclass, task-seqlab | 1 | Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features | Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin | https://www.aclweb.org/anthology/N19-2008.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-cnn, arch-att, pre-glove, struct-crf, task-seqlab | 2 | Entity Recognition at First Sight: Improving NER with Eye Movement Information | Nora Hollenstein, Ce Zhang | https://www.aclweb.org/anthology/N19-1001.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, task-lm, task-seq2seq | 1 | Neural Text Normalization with Subword Units | Courtney Mansfield, Ming Sun, Yuzong Liu, Ankur Gandhe, Björn Hoffmeister | https://www.aclweb.org/anthology/N19-2024.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq | 0 | Automatic learner summary assessment for reading comprehension | Menglin Xia, Ekaterina Kochmar, Ted Briscoe | https://www.aclweb.org/anthology/N19-1261.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-memo, task-relation | 0 | Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN | Van-Hien Tran, Van-Thuy Phi, Hiroyuki Shindo, Yuji Matsumoto | https://www.aclweb.org/anthology/N19-1286.pdf |
| 2019 | NAA-CL | # reg-dropout, reg-stopping, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, search-beam, search-viterbi, pre-word2vec, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq | 1 | Benchmarking Approximate Inference Methods for Neural Structured Prediction | Lifu Tu, Kevin Gimpel | https://www.aclweb.org/anthology/N19-1335.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-sgd, arch-rnn, arch-lstm, arch-cnn, arch-att, struct-hmm, struct-crf, latent-vae | 0 | A Study of Latent Structured Prediction Approaches to Passage Reranking | Iryna Haponchyk, Alessandro Moschitti | https://www.aclweb.org/anthology/N19-1183.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, reg-stopping, norm-gradient, arch-lstm, arch-bilstm, arch-cnn, arch-att, pre-fasttext, pre-elmo, struct-crf, adv-examp, adv-train, task-textclass, task-lm, task-condlm | 3 | Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems | Steffen Eger, Gözde Gül Şahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych | https://www.aclweb.org/anthology/N19-1165.pdf |
| 2019 | NAA-CL | # optim-adagrad, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, arch-transformer, search-beam, task-condlm, task-seq2seq | 2 | Learning to Stop in Structured Prediction for Neural Machine Translation | Mingbo Ma, Renjie Zheng, Liang Huang | https://www.aclweb.org/anthology/N19-1187.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, pre-glove, pre-elmo, pre-bert, task-relation, task-tree | 0 | Decomposed Local Models for Coordinate Structure Parsing | Hiroki Teranishi, Hiroyuki Shindo, Yuji Matsumoto | https://www.aclweb.org/anthology/N19-1343.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-stopping, train-mtl, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, search-viterbi, pre-glove, struct-crf, task-relation, task-tree, task-alignment | 2 | Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling | Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen | https://www.aclweb.org/anthology/N19-1259.pdf |
| 2019 | NAA-CL | # pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-cnn, pre-glove, task-textclass | 1 | Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation | Radu Tudor Ionescu, Andrei Butnaru | https://www.aclweb.org/anthology/N19-1033.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 | # arch-rnn, arch-gru, arch-cnn, arch-att, nondif-reinforce | 0 | Posterior-regularized REINFORCE for Instance Selection in Distant Supervision | Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang | https://www.aclweb.org/anthology/N19-1290.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adadelta, reg-dropout, reg-stopping, arch-cnn, arch-att, pre-word2vec, pre-glove, task-textclass | 2 | An Effective Label Noise Model for DNN Text Classification | Ishan Jindal, Daniel Pressel, Brian Lester, Matthew Nokleby | https://www.aclweb.org/anthology/N19-1328.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, task-lm | 0 | Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems | Ashwini Challa, Kartikeya Upasani, Anusha Balakrishnan, Rajen Subba | https://www.aclweb.org/anthology/N19-2027.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, comb-ensemble, search-beam, task-seq2seq, task-relation | 4 | Left-to-Right Dependency Parsing with Pointer Networks | Daniel Fernández-González, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/N19-1076.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-cnn, pre-word2vec, latent-topic, task-textclass | 4 | Augmenting word2vec with latent Dirichlet allocation within a clinical application | Akshay Budhkar, Frank Rudzicz | https://www.aclweb.org/anthology/N19-1414.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, arch-att, comb-ensemble, pre-glove, struct-crf, latent-vae, task-textclass, task-lm, task-seq2seq | 2 | Strong and Simple Baselines for Multimodal Utterance Embeddings | Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency | https://www.aclweb.org/anthology/N19-1267.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-mtl, train-mll, arch-rnn, arch-lstm, arch-cnn, arch-att, adv-train, task-lm | 6 | Massively Multilingual Adversarial Speech Recognition | Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky | https://www.aclweb.org/anthology/N19-1009.pdf |
| 2019 | NAA-CL | # optim-adam, 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-dropout, reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-coverage, struct-crf, task-seqlab | 1 | Neural Lexicons for Slot Tagging in Spoken Language Understanding | Kyle Williams | https://www.aclweb.org/anthology/N19-2011.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 | # optim-adadelta, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, task-textclass | 0 | Event Detection without Triggers | Shulin Liu, Yang Li, Feng Zhang, Tao Yang, Xinpeng Zhou | https://www.aclweb.org/anthology/N19-1080.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, reg-dropout, reg-labelsmooth, norm-batch, arch-cnn, arch-att, arch-bilinear, task-textpair | 2 | Adaptive Convolution for Multi-Relational Learning | Xiaotian Jiang, Quan Wang, Bin Wang | https://www.aclweb.org/anthology/N19-1103.pdf |
| 2019 | NAA-CL | # reg-dropout, pool-max, arch-lstm, arch-cnn, arch-att, latent-topic, task-textclass | 3 | Sub-event detection from twitter streams as a sequence labeling problem | Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder | https://www.aclweb.org/anthology/N19-1081.pdf |