| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-transformer, pre-word2vec, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-seqlab | 5 | Neural Architectures for Nested NER through Linearization | Jana Straková, Milan Straka, Jan Hajic | https://www.aclweb.org/anthology/P19-1527.pdf |
| 2019 | ACL | # arch-lstm, arch-bilstm, arch-att, arch-memo, search-greedy, pre-glove, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning | Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1231.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, optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-bilinear, arch-subword, pre-fasttext, pre-bert, struct-crf, task-relation | 0 | Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections | Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig | https://www.aclweb.org/anthology/P19-1311.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-memo, struct-crf | 0 | Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference | He Bai, Yu Zhou, Jiajun Zhang, Chengqing Zong | https://www.aclweb.org/anthology/P19-1541.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, train-mtl, train-mll, arch-rnn, arch-lstm, arch-att, arch-bilinear, comb-ensemble, struct-crf, struct-cfg, task-seqlab, task-relation | 2 | Sequence Labeling Parsing by Learning across Representations | Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez | https://www.aclweb.org/anthology/P19-1531.pdf |
| 2019 | ACL | # optim-projection, train-mtl, train-transfer, arch-rnn, arch-birnn, arch-lstm, arch-coverage, pre-glove, struct-hmm, struct-crf, task-textclass, task-seqlab | 0 | A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy | Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor | https://www.aclweb.org/anthology/P19-1014.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-layer, train-active, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-lm | 0 | Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions | Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria, Thamar Solorio | https://www.aclweb.org/anthology/P19-1112.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-adam, reg-dropout, pool-max, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, search-beam, search-viterbi, pre-elmo, struct-crf, task-seqlab, task-seq2seq, task-tree | 0 | Span-Level Model for Relation Extraction | Kalpit Dixit, Yaser Al-Onaizan | https://www.aclweb.org/anthology/P19-1525.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-coverage, comb-ensemble, search-viterbi, struct-crf, adv-train, task-textclass, task-seq2seq, task-relation | 0 | A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining | Shweta Yadav, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/P19-1516.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-bert, struct-crf, task-seq2seq | 1 | Dense Procedure Captioning in Narrated Instructional Videos | Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou | https://www.aclweb.org/anthology/P19-1641.pdf |
| 2019 | ACL | # train-mll, struct-crf, latent-vae, task-seqlab, task-tree | 3 | Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems | Yanyan Zou, Wei Lu | https://www.aclweb.org/anthology/P19-1517.pdf |
| 2019 | ACL | # 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-adam, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, pre-glove, struct-crf, task-seqlab | 3 | Joint Entity Extraction and Assertion Detection for Clinical Text | Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia | https://www.aclweb.org/anthology/P19-1091.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-lstm, arch-cnn, arch-att, arch-memo, struct-crf, task-textclass | 3 | Transfer Capsule Network for Aspect Level Sentiment Classification | Zhuang Chen, Tieyun Qian | https://www.aclweb.org/anthology/P19-1052.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-bilinear, pre-elmo, pre-bert, struct-crf, task-textclass | 12 | Joint Slot Filling and Intent Detection via Capsule Neural Networks | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip Yu | https://www.aclweb.org/anthology/P19-1519.pdf |
| 2019 | ACL | # arch-lstm, struct-crf, task-seqlab, task-seq2seq | 0 | Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models | Ruibo Wang, Jihong Li | https://www.aclweb.org/anthology/P19-1405.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-projection, arch-lstm, arch-att, arch-selfatt, struct-crf, task-seqlab, task-relation | 3 | Crowdsourcing and Aggregating Nested Markable Annotations | Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun, Massimo Poesio | https://www.aclweb.org/anthology/P19-1077.pdf |
| 2019 | ACL | # reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-treelstm, arch-cnn, arch-att, arch-subword, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq | 10 | Is Word Segmentation Necessary for Deep Learning of Chinese Representations? | Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li | https://www.aclweb.org/anthology/P19-1314.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, pre-glove, struct-crf, task-textpair | 14 | A Large-Scale Corpus for Conversation Disentanglement | Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph J. Peper, Vignesh Athreya, Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros C Polymenakos, Walter Lasecki | https://www.aclweb.org/anthology/P19-1374.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, search-viterbi, struct-crf, latent-vae, loss-nce, task-relation, task-tree | 1 | Enhancing Unsupervised Generative Dependency Parser with Contextual Information | Wenjuan Han, Yong Jiang, Kewei Tu | https://www.aclweb.org/anthology/P19-1526.pdf |
| 2019 | ACL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, struct-crf, latent-topic, loss-nce, task-textpair, task-seqlab, task-lm | 1 | Deep Neural Model Inspection and Comparison via Functional Neuron Pathways | James Fiacco, Samridhi Choudhary, Carolyn Rose | https://www.aclweb.org/anthology/P19-1575.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-bert, struct-crf, task-textclass, task-seqlab, task-lm, task-seq2seq, meta-init | 1 | Few-Shot Representation Learning for Out-Of-Vocabulary Words | Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun | https://www.aclweb.org/anthology/P19-1402.pdf |
| 2019 | ACL | # reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-subword, comb-ensemble, pre-fasttext, pre-glove, struct-crf, adv-train, task-seqlab | 1 | Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records | Max Friedrich, Arne Köhn, Gregor Wiedemann, Chris Biemann | https://www.aclweb.org/anthology/P19-1584.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-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, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, search-viterbi, pre-skipthought, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq | 2 | Extracting Symptoms and their Status from Clinical Conversations | Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran | https://www.aclweb.org/anthology/P19-1087.pdf |
| 2019 | ACL | # optim-adam, train-active, arch-lstm, struct-crf | 0 | Dataset Creation for Ranking Constructive News Comments | Soichiro Fujita, Hayato Kobayashi, Manabu Okumura | https://www.aclweb.org/anthology/P19-1250.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 | # optim-adam, arch-lstm, arch-bilstm, struct-crf, loss-nce, task-seqlab, task-lexicon | 0 | NNE: A Dataset for Nested Named Entity Recognition in English Newswire | Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris, James R. Curran | https://www.aclweb.org/anthology/P19-1510.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-mtl, train-mll, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, search-beam, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm | 3 | GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling | Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou | https://www.aclweb.org/anthology/P19-1233.pdf |
| 2019 | ACL | # optim-adam, optim-amsgrad, init-glorot, reg-dropout, reg-norm, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-coverage, pre-glove, struct-crf, task-relation, task-tree | 1 | Second-Order Semantic Dependency Parsing with End-to-End Neural Networks | Xinyu Wang, Jingxian Huang, Kewei Tu | https://www.aclweb.org/anthology/P19-1454.pdf |
| 2019 | ACL | # reg-stopping, arch-lstm, struct-crf, task-textpair, task-lm, task-seq2seq, task-alignment | 0 | Neural Network Alignment for Sentential Paraphrases | Jessica Ouyang, Kathy McKeown | https://www.aclweb.org/anthology/P19-1467.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-glove, pre-elmo, pre-bert, struct-crf, task-textpair, task-seqlab, task-spanlab, task-seq2seq | 2 | Augmenting Neural Networks with First-order Logic | Tao Li, Vivek Srikumar | https://www.aclweb.org/anthology/P19-1028.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-gnn, struct-crf, task-seqlab, task-seq2seq | 1 | A Neural Multi-digraph Model for Chinese NER with Gazetteers | Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si | https://www.aclweb.org/anthology/P19-1141.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-sgd, reg-norm, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, search-viterbi, pre-glove, pre-elmo, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq | 0 | Cross-Domain NER using Cross-Domain Language Modeling | Chen Jia, Xiaobo Liang, Yue Zhang | https://www.aclweb.org/anthology/P19-1236.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq | 0 | Using Human Attention to Extract Keyphrase from Microblog Post | Yingyi Zhang, Chengzhi Zhang | https://www.aclweb.org/anthology/P19-1588.pdf |
| 2019 | ACL | # train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, struct-crf, task-lm, task-tree | 0 | Rationally Reappraising ATIS-based Dialogue Systems | Jingcheng Niu, Gerald Penn | https://www.aclweb.org/anthology/P19-1550.pdf |
| 2019 | ACL | # optim-adam, train-transfer, arch-transformer, pre-bert, struct-crf, task-seqlab | 0 | Label-Agnostic Sequence Labeling by Copying Nearest Neighbors | Sam Wiseman, Karl Stratos | https://www.aclweb.org/anthology/P19-1533.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, reg-dropout, train-mtl, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-word2vec, struct-crf, task-seq2seq | 0 | Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts | Rui Xia, Zixiang Ding | https://www.aclweb.org/anthology/P19-1096.pdf |
| 2019 | ACL | # reg-stopping, arch-rnn, arch-lstm, arch-bilstm, arch-coverage, search-viterbi, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab | 1 | Towards Improving Neural Named Entity Recognition with Gazetteers | Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin | https://www.aclweb.org/anthology/P19-1524.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, reg-dropout, reg-patience, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-gating, pre-glove, struct-crf, adv-train, loss-nce, task-textclass, task-seqlab, task-lm | 0 | Multi-Task Networks with Universe, Group, and Task Feature Learning | Shiva Pentyala, Mengwen Liu, Markus Dreyer | https://www.aclweb.org/anthology/P19-1079.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, 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 | # 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 | # 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, 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-adadelta, reg-dropout, reg-labelsmooth, norm-layer, train-parallel, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-residual, arch-subword, pre-glove, pre-bert, struct-crf, task-seqlab, task-spanlab, task-lm, task-seq2seq | 1 | A Lightweight Recurrent Network for Sequence Modeling | Biao Zhang, Rico Sennrich | https://www.aclweb.org/anthology/P19-1149.pdf |
| 2019 | ACL | # optim-projection, train-mll, train-transfer, arch-coverage, arch-subword, struct-crf, adv-train, latent-topic, task-textclass, task-lexicon | 1 | A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity | Yoshinari Fujinuma, Jordan Boyd-Graber, Michael J. Paul | https://www.aclweb.org/anthology/P19-1489.pdf |
| 2019 | ACL | # optim-adam, optim-adadelta, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, arch-rnn, arch-lstm, arch-gnn, arch-att, arch-energy, search-beam, pre-glove, struct-crf, nondif-minrisk, task-textclass, task-seq2seq | 3 | Joint Type Inference on Entities and Relations via Graph Convolutional Networks | Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan | https://www.aclweb.org/anthology/P19-1131.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, reg-stopping, norm-layer, pool-max, arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, struct-crf, struct-cfg, latent-vae, task-seqlab, task-lm, task-graph | 4 | Compound Probabilistic Context-Free Grammars for Grammar Induction | Yoon Kim, Chris Dyer, Alexander Rush | https://www.aclweb.org/anthology/P19-1228.pdf |
| 2019 | ACL | # arch-lstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, latent-vae | 1 | We Need to Talk about Standard Splits | Kyle Gorman, Steven Bedrick | https://www.aclweb.org/anthology/P19-1267.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-worddropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-relation | 2 | The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers | Agnieszka Falenska, Jonas Kuhn | https://www.aclweb.org/anthology/P19-1012.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-rnn, arch-lstm, arch-bilstm, arch-att, comb-ensemble, search-beam, search-viterbi, struct-crf, task-textclass, task-seqlab, task-lm | 0 | Multi-task Pairwise Neural Ranking for Hashtag Segmentation | Mounica Maddela, Wei Xu, Daniel Preoţiuc-Pietro | https://www.aclweb.org/anthology/P19-1242.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-lstm, arch-treelstm, pre-elmo, struct-crf, latent-vae, task-lm, task-tree | 0 | Latent Variable Sentiment Grammar | Liwen Zhang, Kewei Tu, Yue Zhang | https://www.aclweb.org/anthology/P19-1457.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 | # 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-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 | # reg-dropout, reg-stopping, train-transfer, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-bert, struct-crf, latent-topic, task-seqlab, task-relation | 2 | Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision | Hongliang Dai, Yangqiu Song | https://www.aclweb.org/anthology/P19-1520.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, struct-crf, adv-train, task-seqlab, task-lm | 2 | Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling | Nasser Zalmout, Nizar Habash | https://www.aclweb.org/anthology/P19-1173.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, 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 | # 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, 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 | # arch-lstm, arch-bilstm, arch-att, arch-selfatt, struct-crf, nondif-reinforce, task-seqlab, task-condlm | 0 | A Prism Module for Semantic Disentanglement in Name Entity Recognition | Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao, Si Li | https://www.aclweb.org/anthology/P19-1532.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, init-glorot, reg-dropout, reg-patience, train-mtl, train-mll, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-gating, search-viterbi, pre-glove, struct-crf, adv-examp, task-seqlab, task-lm, task-seq2seq | 1 | Sentiment Tagging with Partial Labels using Modular Architectures | Xiao Zhang, Dan Goldwasser | https://www.aclweb.org/anthology/P19-1055.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-copy, struct-crf, task-lm, task-seq2seq | 1 | Confusionset-guided Pointer Networks for Chinese Spelling Check | Dingmin Wang, Yi Tay, Li Zhong | https://www.aclweb.org/anthology/P19-1578.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-bilinear, pre-glove, pre-elmo, pre-bert, struct-crf, task-seq2seq, task-relation | 3 | A Unified Linear-Time Framework for Sentence-Level Discourse Parsing | Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari | https://www.aclweb.org/anthology/P19-1410.pdf |
| 2019 | ACL | # optim-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 | # train-mll, arch-lstm, arch-att, arch-coverage, struct-crf, adv-train, task-seq2seq, task-alignment | 0 | Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text | Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti | https://www.aclweb.org/anthology/P19-1343.pdf |
| 2019 | ACL | # optim-adam, init-glorot, train-mtl, arch-lstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, struct-crf, task-seq2seq, task-relation, task-tree | 1 | How to Best Use Syntax in Semantic Role Labelling | Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang | https://www.aclweb.org/anthology/P19-1529.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, pre-paravec, pre-bert, struct-crf, adv-train, task-textclass, task-seqlab, task-seq2seq, task-tree, task-lexicon, task-alignment | 3 | Multi-Source Cross-Lingual Model Transfer: Learning What to Share | Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang, Claire Cardie | https://www.aclweb.org/anthology/P19-1299.pdf |
| 2019 | EMNLP | # 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 | # optim-adam, init-glorot, reg-dropout, activ-relu, arch-lstm, struct-crf, latent-vae, task-seqlab | 0 | Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities | Bailin Wang, Wei Lu | https://www.aclweb.org/anthology/D19-1644.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 | # 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 | # pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-skipthought, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-cloze | 0 | UER: An Open-Source Toolkit for Pre-training Models | Zhe Zhao, Hui Chen, Jinbin Zhang, Xin Zhao, Tao Liu, Wei Lu, Xi Chen, Haotang Deng, Qi Ju, Xiaoyong Du | https://www.aclweb.org/anthology/D19-3041.pdf |
| 2019 | EMNLP | # optim-adam, 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-gru, arch-bigru, arch-att, arch-memo, arch-coverage, pre-word2vec, struct-crf, task-seq2seq | 0 | A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis | Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao | https://www.aclweb.org/anthology/D19-1563.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-projection, train-mll, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-subword, struct-crf, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Entity Projection via Machine Translation for Cross-Lingual NER | Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton | https://www.aclweb.org/anthology/D19-1100.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # reg-dropout, reg-worddropout, train-augment, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-coverage, pre-word2vec, struct-crf, task-textclass, task-lm, task-seq2seq | 0 | Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content | Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben | https://www.aclweb.org/anthology/D19-1239.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, pre-fasttext, struct-crf, adv-train, latent-vae, task-seqlab, task-seq2seq, task-lexicon | 1 | Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables | Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung | https://www.aclweb.org/anthology/D19-1129.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-lstm, arch-bilstm, arch-att, arch-bilinear, search-viterbi, pre-glove, pre-elmo, struct-crf, task-seqlab, task-condlm | 0 | Phrase Grounding by Soft-Label Chain Conditional Random Field | Jiacheng Liu, Julia Hockenmaier | https://www.aclweb.org/anthology/D19-1515.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 | # train-mtl, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing | Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, Tomoya Iwakura | https://www.aclweb.org/anthology/D19-1648.pdf |
| 2019 | EMNLP | # 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, reg-dropout, train-mtl, train-mll, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, arch-subword, struct-crf, task-seq2seq | 0 | Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity | Penghui Wei, Nan Xu, Wenji Mao | https://www.aclweb.org/anthology/D19-1485.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, reg-decay, train-mll, train-transfer, pool-max, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze, task-relation | 22 | Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT | Shijie Wu, Mark Dredze | https://www.aclweb.org/anthology/D19-1077.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-subword, search-viterbi, pre-word2vec, pre-glove, pre-elmo, struct-crf, latent-vae, task-textpair, task-lm, task-seq2seq | 0 | A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing | Zeyu Dai, Ruihong Huang | https://www.aclweb.org/anthology/D19-1295.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 | # optim-adam, optim-projection, norm-layer, norm-batch, struct-crf, adv-train, task-textclass, task-seqlab | 0 | Open Event Extraction from Online Text using a Generative Adversarial Network | Rui Wang, Deyu Zhou, Yulan He | https://www.aclweb.org/anthology/D19-1027.pdf |
| 2019 | EMNLP | # 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-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation | 0 | Partners in Crime: Multi-view Sequential Inference for Movie Understanding | Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen | https://www.aclweb.org/anthology/D19-1212.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, norm-gradient, train-transfer, pool-max, pool-mean, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, search-viterbi, pre-glove, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq | 0 | CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding | Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu | https://www.aclweb.org/anthology/D19-1097.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-coverage, pre-glove, pre-bert, struct-crf, task-textclass | 0 | Detecting Causal Language Use in Science Findings | Bei Yu, Yingya Li, Jun Wang | https://www.aclweb.org/anthology/D19-1473.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, pre-bert, struct-crf, task-seqlab, task-seq2seq | 0 | Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition | Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Bin Dong, Shanshan Jiang | https://www.aclweb.org/anthology/D19-1646.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, struct-crf, task-textclass, task-extractive, task-lm, task-seq2seq | 0 | Pretrained Language Models for Sequential Sentence Classification | Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld | https://www.aclweb.org/anthology/D19-1383.pdf |
| 2019 | EMNLP | # 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, 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-projection, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-fasttext, pre-elmo, pre-bert, struct-crf, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Learning with Limited Data for Multilingual Reading Comprehension | Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang, Juho Lee | https://www.aclweb.org/anthology/D19-1283.pdf |
| 2019 | EMNLP | # optim-projection, reg-dropout, train-transfer, arch-lstm, arch-bilstm, arch-att, comb-ensemble, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation | Huiyun Yang, Shujian Huang, Xin-Yu Dai, Jiajun Chen | https://www.aclweb.org/anthology/D19-1429.pdf |
| 2019 | EMNLP | # train-mll, train-transfer, struct-crf, task-relation, task-alignment | 0 | A Regularization-based Framework for Bilingual Grammar Induction | Yong Jiang, Wenjuan Han, Kewei Tu | https://www.aclweb.org/anthology/D19-1148.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, optim-projection, reg-dropout, norm-layer, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, pre-elmo, pre-bert, struct-crf, loss-triplet, task-seqlab, task-lm, task-seq2seq, task-context | 14 | Cloze-driven Pretraining of Self-attention Networks | Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli | https://www.aclweb.org/anthology/D19-1539.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-att, arch-selfatt, struct-crf, task-lm, task-seq2seq | 0 | CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots | Arshit Gupta, Peng Zhang, Garima Lalwani, Mona Diab | https://www.aclweb.org/anthology/D19-1127.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-lstm, arch-bilstm, pre-glove, struct-crf | 0 | Neural Conversation Recommendation with Online Interaction Modeling | Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong | https://www.aclweb.org/anthology/D19-1470.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-rnn, arch-lstm, arch-att, pre-glove, struct-crf, loss-nce, task-lm, task-seq2seq | 0 | Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs | Dongyeop Kang, Eduard Hovy | https://www.aclweb.org/anthology/D19-1589.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-att, arch-selfatt, arch-bilinear, arch-subword, arch-transformer, search-viterbi, pre-elmo, pre-bert, struct-crf, loss-nce, task-seqlab, task-lm | 0 | Effective Use of Transformer Networks for Entity Tracking | Aditya Gupta, Greg Durrett | https://www.aclweb.org/anthology/D19-1070.pdf |
| 2019 | EMNLP | # optim-adam, reg-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-bilstm, arch-att, pre-glove, struct-crf | 0 | Revealing and Predicting Online Persuasion Strategy with Elementary Units | Gaku Morio, Ryo Egawa, Katsuhide Fujita | https://www.aclweb.org/anthology/D19-1653.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, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, struct-crf, adv-train, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon | 0 | Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations | Zuyi Bao, Rui Huang, Chen Li, Kenny Zhu | https://www.aclweb.org/anthology/D19-1095.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-bilstm, arch-att, struct-crf, latent-vae, task-seqlab | 0 | A Boundary-aware Neural Model for Nested Named Entity Recognition | Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu | https://www.aclweb.org/anthology/D19-1034.pdf |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, pre-glove, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-lm | 1 | Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, Meng Jiang | https://www.aclweb.org/anthology/D19-1029.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-att, arch-subword, arch-transformer, comb-ensemble, search-viterbi, pre-fasttext, pre-glove, struct-crf, task-seqlab, task-lm, task-seq2seq, task-lexicon | 0 | Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition | Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung | https://www.aclweb.org/anthology/D19-1360.pdf |
| 2019 | EMNLP | # optim-adadelta, optim-projection, reg-dropout, arch-rnn, arch-gru, arch-att, pre-glove, struct-crf, task-textclass, task-seq2seq | 0 | Predicting Discourse Structure using Distant Supervision from Sentiment | Patrick Huber, Giuseppe Carenini | https://www.aclweb.org/anthology/D19-1235.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-fasttext, pre-elmo, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree | 0 | Semantic Role Labeling with Iterative Structure Refinement | Chunchuan Lyu, Shay B. Cohen, Ivan Titov | https://www.aclweb.org/anthology/D19-1099.pdf |
| 2019 | EMNLP | # optim-sgd, optim-projection, reg-dropout, norm-gradient, train-mtl, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-subword, struct-crf, task-seqlab, task-lexicon | 0 | What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis | Xiaolei Huang, Jonathan May, Nanyun Peng | https://www.aclweb.org/anthology/D19-1672.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-word2vec, pre-glove, struct-crf, task-textclass, task-seqlab | 2 | Practical Obstacles to Deploying Active Learning | David Lowell, Zachary C. Lipton, Byron C. Wallace | https://www.aclweb.org/anthology/D19-1003.pdf |
| 2019 | EMNLP | # norm-gradient, arch-rnn, arch-lstm, arch-att, struct-crf, task-seqlab, task-seq2seq | 0 | Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model | Hyun-Je Song, Seong-Bae Park | https://www.aclweb.org/anthology/D19-1150.pdf |
| 2019 | EMNLP | # reg-dropout, train-mll, arch-rnn, arch-lstm, arch-att, arch-selfatt, struct-crf, adv-train | 0 | Emotion Detection with Neural Personal Discrimination | Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang | https://www.aclweb.org/anthology/D19-1552.pdf |
| 2019 | EMNLP | # 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 | # optim-adam, init-glorot, reg-dropout, train-mll, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-bigru, arch-att, arch-selfatt, arch-memo, search-viterbi, struct-crf, latent-vae, task-seqlab, task-seq2seq | 1 | Learning Explicit and Implicit Structures for Targeted Sentiment Analysis | Hao Li, Wei Lu | https://www.aclweb.org/anthology/D19-1550.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, reg-patience, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-bilinear, arch-subword, arch-transformer, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq, task-relation | 6 | SciBERT: A Pretrained Language Model for Scientific Text | Iz Beltagy, Kyle Lo, Arman Cohan | https://www.aclweb.org/anthology/D19-1371.pdf |
| 2019 | EMNLP | # arch-rnn, arch-lstm, arch-bilstm, pre-fasttext, struct-crf, task-textclass, task-seq2seq | 0 | A System for Diacritizing Four Varieties of Arabic | Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, Mohamed Eldesouki, Younes Samih, Hassan Sajjad | https://www.aclweb.org/anthology/D19-3037.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 | # 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 | # 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 | # reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-gating, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-seqlab, task-seq2seq, meta-arch | 1 | NeuronBlocks: Building Your NLP DNN Models Like Playing Lego | Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang | https://www.aclweb.org/anthology/D19-3028.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, arch-lstm, arch-coverage, comb-ensemble, pre-word2vec, struct-crf, task-textclass | 0 | Coverage of Information Extraction from Sentences and Paragraphs | Simon Razniewski, Nitisha Jain, Paramita Mirza, Gerhard Weikum | https://www.aclweb.org/anthology/D19-1583.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-norm, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-subword, arch-transformer, comb-ensemble, pre-bert, struct-crf | 1 | A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding | Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu | https://www.aclweb.org/anthology/D19-1214.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-word2vec, struct-crf, adv-train, task-seqlab, task-seq2seq | 3 | Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning | Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang | https://www.aclweb.org/anthology/D19-1466.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-norm, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, search-viterbi, struct-crf, task-textclass, task-seqlab | 0 | Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network | Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu | https://www.aclweb.org/anthology/D19-1396.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, train-transfer, arch-rnn, arch-lstm, arch-gru, arch-att, comb-ensemble, search-beam, search-viterbi, pre-bert, struct-hmm, struct-crf, task-textclass, task-seqlab, task-seq2seq | 0 | Leveraging Medical Literature for Section Prediction in Electronic Health Records | Sara Rosenthal, Ken Barker, Zhicheng Liang | https://www.aclweb.org/anthology/D19-1492.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # reg-norm, train-mll, arch-att, struct-crf, struct-cfg, latent-vae, task-seqlab, task-tree | 1 | Text2Math: End-to-end Parsing Text into Math Expressions | Yanyan Zou, Wei Lu | https://www.aclweb.org/anthology/D19-1536.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, train-active, arch-lstm, arch-bilstm, arch-cnn, arch-subword, struct-crf, latent-topic, task-seqlab, task-seq2seq | 1 | A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers | Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/D19-1520.pdf |
| 2019 | EMNLP | # optim-adam, 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 | # arch-lstm, arch-bilstm, pre-fasttext, struct-crf, loss-nce | 0 | FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning | Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz, Jan Kiesewetter, Jan Zottmann, Michael Sailer, Elisabeth Bauer, Frank Fischer, Martin R. Fischer, Iryna Gurevych | https://www.aclweb.org/anthology/D19-3013.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, arch-lstm, arch-subword, struct-crf, task-lm | 0 | Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary | Adithya Renduchintala, Philipp Koehn, Jason Eisner | https://www.aclweb.org/anthology/D19-1679.pdf |
| 2019 | EMNLP | # optim-sgd, reg-dropout, arch-lstm, arch-bilstm, arch-att, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, latent-topic, task-tree | 0 | Negative Focus Detection via Contextual Attention Mechanism | Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw | https://www.aclweb.org/anthology/D19-1230.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-gru, arch-att, arch-energy, search-sampling, pre-glove, struct-crf, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Autoregressive Text Generation Beyond Feedback Loops | Florian Schmidt, Stephan Mandt, Thomas Hofmann | https://www.aclweb.org/anthology/D19-1338.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 | # optim-adam, optim-projection, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-gru, arch-att, arch-coverage, search-beam, struct-crf, task-textclass, task-lm, task-seq2seq | 5 | Improving Lemmatization of Non-Standard Languages with Joint Learning | Enrique Manjavacas, Ákos Kádár, Mike Kestemont | https://www.aclweb.org/anthology/N19-1153.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, comb-ensemble, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm, task-seq2seq, task-relation, task-tree, task-lexicon, task-alignment | 12 | Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog | Sebastian Schuster, Sonal Gupta, Rushin Shah, Mike Lewis | https://www.aclweb.org/anthology/N19-1380.pdf |
| 2019 | NAA-CL | # pool-mean, arch-lstm, arch-cnn, arch-att, arch-selfatt, comb-ensemble, pre-fasttext, pre-glove, struct-crf, loss-cca, loss-margin, task-textclass | 1 | Ranking-Based Autoencoder for Extreme Multi-label Classification | Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou | https://www.aclweb.org/anthology/N19-1289.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-patience, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-word2vec, struct-crf, task-textclass, task-seq2seq | 3 | HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition | Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu | https://www.aclweb.org/anthology/N19-1037.pdf |
| 2019 | NAA-CL | # optim-adam, train-active, arch-coverage, comb-ensemble, struct-hmm, struct-crf, task-textclass, task-seqlab | 2 | Active Learning for New Domains in Natural Language Understanding | Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas | https://www.aclweb.org/anthology/N19-2012.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, struct-crf, latent-vae, loss-svd, task-seqlab, task-lm | 1 | Misspelling Oblivious Word Embeddings | Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira, Fabrizio Silvestri | https://www.aclweb.org/anthology/N19-1326.pdf |
| 2019 | NAA-CL | # reg-norm, arch-lstm, arch-bilstm, arch-att, search-viterbi, struct-hmm, struct-crf, latent-vae, task-seqlab | 4 | Better Modeling of Incomplete Annotations for Named Entity Recognition | Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li | https://www.aclweb.org/anthology/N19-1079.pdf |
| 2019 | NAA-CL | # optim-adam, comb-ensemble, struct-crf | 2 | Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach | Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann | https://www.aclweb.org/anthology/N19-1038.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, reg-worddropout, reg-patience, pool-max, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-subword, pre-elmo, pre-bert, struct-crf, task-seqlab, task-lm | 27 | Pooled Contextualized Embeddings for Named Entity Recognition | Alan Akbik, Tanja Bergmann, Roland Vollgraf | https://www.aclweb.org/anthology/N19-1078.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-memo, pre-bert, struct-crf, task-seqlab | 3 | A Silver Standard Corpus of Human Phenotype-Gene Relations | Diana Sousa, Andre Lamurias, Francisco M. Couto | https://www.aclweb.org/anthology/N19-1152.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, pool-max, arch-rnn, arch-lstm, arch-gru, arch-att, pre-word2vec, pre-glove, struct-crf, task-lm, task-seq2seq | 0 | Early Rumour Detection | Kaimin Zhou, Chang Shu, Binyang Li, Jey Han Lau | https://www.aclweb.org/anthology/N19-1163.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-gnn, arch-cnn, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq | 17 | Star-Transformer | Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang | https://www.aclweb.org/anthology/N19-1133.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-elmo, pre-bert, struct-crf, task-seqlab | 3 | GraphIE: A Graph-Based Framework for Information Extraction | Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay | https://www.aclweb.org/anthology/N19-1082.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 | # optim-sgd, reg-dropout, train-mtl, train-mll, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, search-viterbi, pre-word2vec, struct-crf, task-textclass, task-seqlab | 1 | An Encoding Strategy Based Word-Character LSTM for Chinese NER | Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song, Yueran Zu | https://www.aclweb.org/anthology/N19-1247.pdf |
| 2019 | NAA-CL | # optim-adam, pool-max, arch-lstm, arch-coverage, pre-word2vec, struct-crf, task-seqlab | 1 | TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy | Lin Sun, Kai Zhang, Fule Ji, Zhenhua Yang | https://www.aclweb.org/anthology/N19-2022.pdf |
| 2019 | NAA-CL | # train-transfer, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm | 1 | Using Similarity Measures to Select Pretraining Data for NER | Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris | https://www.aclweb.org/anthology/N19-1149.pdf |
| 2019 | NAA-CL | # optim-adam, reg-patience, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-bilinear, arch-coverage, arch-subword, arch-transformer, pre-glove, pre-elmo, pre-bert, struct-crf, adv-train, task-textclass, task-textpair, task-seqlab, task-lm, task-seq2seq, task-relation | 51 | Linguistic Knowledge and Transferability of Contextual Representations | Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith | https://www.aclweb.org/anthology/N19-1112.pdf |
| 2019 | NAA-CL | # optim-adam, norm-batch, pool-max, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-glove, struct-crf, task-seqlab, task-lm | 0 | VCWE: Visual Character-Enhanced Word Embeddings | Chi Sun, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/N19-1277.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, init-glorot, reg-dropout, arch-lstm, arch-att, search-greedy, search-beam, struct-crf, struct-cfg, task-seqlab, task-relation | 1 | Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle | Maximin Coavoux, Shay B. Cohen | https://www.aclweb.org/anthology/N19-1018.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, arch-coverage, struct-crf | 4 | Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media | Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James Glass, Preslav Nakov | https://www.aclweb.org/anthology/N19-1216.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 | # arch-rnn, arch-lstm, arch-bilstm, pre-word2vec, pre-glove, struct-crf | 0 | A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling | Yue Chen, John Chen | https://www.aclweb.org/anthology/N19-2019.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 | # reg-dropout, arch-rnn, arch-lstm, arch-att, arch-coverage, search-beam, pre-glove, struct-crf, task-textpair, task-seq2seq, task-tree | 1 | Open Information Extraction from Question-Answer Pairs | Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, H. V. Jagadish | https://www.aclweb.org/anthology/N19-1239.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-projection, reg-dropout, reg-decay, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-glove, pre-elmo, pre-bert, struct-crf, latent-vae, task-seqlab, task-lm, task-seq2seq | 2 | Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition | Angli Liu, Jingfei Du, Veselin Stoyanov | https://www.aclweb.org/anthology/N19-1117.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, reg-stopping, train-transfer, arch-lstm, arch-cnn, arch-att, pre-glove, struct-crf, task-seqlab | 2 | Entity Recognition at First Sight: Improving NER with Eye Movement Information | Nora Hollenstein, Ce Zhang | https://www.aclweb.org/anthology/N19-1001.pdf |
| 2019 | NAA-CL | # reg-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-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-memo, arch-transformer, comb-ensemble, pre-glove, pre-bert, struct-crf, task-textclass, task-textpair, task-lm, task-seq2seq, task-alignment | 0 | Alignment over Heterogeneous Embeddings for Question Answering | Vikas Yadav, Steven Bethard, Mihai Surdeanu | https://www.aclweb.org/anthology/N19-1274.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 | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, struct-crf | 0 | Subword-Level Language Identification for Intra-Word Code-Switching | Manuel Mager, Özlem Çetinoğlu, Katharina Kann | https://www.aclweb.org/anthology/N19-1201.pdf |
| 2019 | NAA-CL | # optim-adadelta, reg-decay, train-mtl, arch-rnn, arch-att, pre-word2vec, struct-crf, latent-vae, latent-topic, task-textclass, task-relation | 0 | A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification | Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song | https://www.aclweb.org/anthology/N19-1036.pdf |
| 2019 | NAA-CL | # optim-sgd, optim-adam, reg-dropout, reg-patience, arch-rnn, arch-birnn, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-subword, pre-word2vec, pre-glove, pre-skipthought, pre-elmo, struct-crf, adv-train, latent-vae, task-textclass, task-lm | 6 | Dialogue Act Classification with Context-Aware Self-Attention | Vipul Raheja, Joel Tetreault | https://www.aclweb.org/anthology/N19-1373.pdf |
| 2019 | NAA-CL | # optim-sgd, reg-dropout, train-mtl, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-memo, comb-ensemble, pre-glove, pre-elmo, pre-bert, struct-crf, nondif-reinforce, task-seq2seq, task-relation | 7 | Better, Faster, Stronger Sequence Tagging Constituent Parsers | David Vilares, Mostafa Abdou, Anders Søgaard | https://www.aclweb.org/anthology/N19-1341.pdf |
| 2019 | NAA-CL | # optim-adagrad, reg-stopping, train-mtl, arch-rnn, arch-lstm, arch-bilstm, arch-att, struct-crf, task-seq2seq | 3 | Scaling Multi-Domain Dialogue State Tracking via Query Reformulation | Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Mathias Lambert | https://www.aclweb.org/anthology/N19-2013.pdf |
| 2019 | NAA-CL | # optim-adam, reg-stopping, norm-gradient, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-bert, struct-crf | 0 | Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy | https://www.aclweb.org/anthology/N19-1055.pdf |
| 2019 | NAA-CL | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-transformer, search-beam, pre-glove, pre-elmo, pre-bert, struct-crf, adv-examp, task-textpair, task-lm, task-condlm, task-seq2seq, task-alignment | 9 | PAWS: Paraphrase Adversaries from Word Scrambling | Yuan Zhang, Jason Baldridge, Luheng He | https://www.aclweb.org/anthology/N19-1131.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-coverage, arch-energy, struct-crf, task-seq2seq | 1 | Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation | Nikolai Vogler, Craig Stewart, Graham Neubig | https://www.aclweb.org/anthology/N19-1010.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-rnn, arch-lstm, arch-att, arch-memo, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-glove, pre-elmo, pre-bert, struct-crf, task-textclass, task-lm, task-seq2seq | 2 | One Size Does Not Fit All: Comparing NMT Representations of Different Granularities | Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov | https://www.aclweb.org/anthology/N19-1154.pdf |
| 2019 | NAA-CL | # 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 | # arch-rnn, arch-lstm, arch-att, comb-ensemble, search-viterbi, pre-word2vec, struct-hmm, struct-crf, task-seqlab, task-lm | 0 | Improving Cross-Domain Chinese Word Segmentation with Word Embeddings | Yuxiao Ye, Weikang Li, Yue Zhang, Likun Qiu, Jian Sun | https://www.aclweb.org/anthology/N19-1279.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-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, reg-norm, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, comb-ensemble, pre-glove, struct-crf, latent-topic, task-extractive | 0 | Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction | Animesh Prasad, Min-Yen Kan | https://www.aclweb.org/anthology/N19-1182.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-att, arch-energy, search-beam, struct-crf, struct-cfg, loss-nce, task-condlm, task-seq2seq, task-relation | 0 | An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick | https://www.aclweb.org/anthology/N19-1171.pdf |
| 2019 | NAA-CL | # optim-adam, reg-dropout, reg-decay, train-transfer, train-augment, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, comb-ensemble, pre-glove, pre-skipthought, pre-elmo, pre-bert, struct-crf, task-textclass, task-textpair, task-seqlab, task-spanlab, task-lm, task-seq2seq, task-cloze | 3209 | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding | Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova | https://www.aclweb.org/anthology/N19-1423.pdf |