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EMNLP-IJCNLP 2019: Hong Kong, China
- Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-90-1 - Carolin Lawrence, Bhushan Kotnis, Mathias Niepert:
Attending to Future Tokens for Bidirectional Sequence Generation. 1-10 - Sarah Wiegreffe, Yuval Pinter:
Attention is not not Explanation. 11-20 - David Lowell, Zachary C. Lipton, Byron C. Wallace:
Practical Obstacles to Deploying Active Learning. 21-30 - Matan Ben Noach, Yoav Goldberg:
Transfer Learning Between Related Tasks Using Expected Label Proportions. 31-42 - Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith:
Knowledge Enhanced Contextual Word Representations. 43-54 - Kawin Ethayarajh:
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. 55-65 - Philippa Shoemark, Farhana Ferdousi Liza, Dong Nguyen, Scott A. Hale, Barbara McGillivray:
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings. 66-76 - Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov, Nils Hammerla:
Correlations between Word Vector Sets. 77-87 - Rocco Tripodi, Roberto Navigli:
Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation. 88-99 - Ryuichi Takanobu, Hanlin Zhu, Minlie Huang:
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. 100-110 - Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu:
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots. 111-120 - Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu, Pascale Fung:
MoEL: Mixture of Empathetic Listeners. 121-132 - Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu:
Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever. 133-142 - Mingyang Zhou, Josh Arnold, Zhou Yu:
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation. 143-153 - Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander F. Gelbukh:
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. 154-164 - Peixiang Zhong, Di Wang, Chunyan Miao:
Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations. 165-176 - Yang Yang, Deyu Zhou, Yulan He, Meng Zhang:
Interpretable Relevant Emotion Ranking with Event-Driven Attention. 177-187 - Jianmo Ni, Jiacheng Li, Julian J. McAuley:
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. 188-197 - Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qi Zhang:
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. 198-207 - Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, Jinsong Su:
Leveraging Dependency Forest for Neural Medical Relation Extraction. 208-218 - Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. 219-228 - Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li:
Improving Relation Extraction with Knowledge-attention. 229-239 - Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao:
Jointly Learning Entity and Relation Representations for Entity Alignment. 240-249 - Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. 250-260 - Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. 261-270 - Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
Learning Dynamic Context Augmentation for Global Entity Linking. 271-281 - Rui Wang, Deyu Zhou, Yulan He:
Open Event Extraction from Online Text using a Generative Adversarial Network. 282-291 - Lingyong Yan, Xianpei Han, Le Sun, Ben He:
Learning to Bootstrap for Entity Set Expansion. 292-301 - Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. 302-312 - Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare R. Voss:
Cross-lingual Structure Transfer for Relation and Event Extraction. 313-325 - Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu:
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. 326-336 - Shun Zheng, Wei Cao, Wei Xu, Jiang Bian:
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction. 337-346 - Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin:
Event Detection with Trigger-Aware Lattice Neural Network. 347-356 - Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu:
A Boundary-aware Neural Model for Nested Named Entity Recognition. 357-366 - Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao:
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning. 367-377 - Swapnil Gupta, Sreyash Kenkre, Partha P. Talukdar:
CaRe: Open Knowledge Graph Embeddings. 378-388 - Yuyun Huang, Jinhua Du:
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction. 389-398 - Jian Ni, Radu Florian:
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping. 399-409 - Xiang Deng, Huan Sun:
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction. 410-420 - Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel:
EntEval: A Holistic Evaluation Benchmark for Entity Representations. 421-433 - Rujun Han, Qiang Ning, Nanyun Peng:
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction. 434-444 - Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. 445-455 - Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma:
Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification. 456-465 - Lin Xiao, Xin Huang, Boli Chen, Liping Jing:
Label-Specific Document Representation for Multi-Label Text Classification. 466-475 - Shengli Sun, Qingfeng Sun, Kevin Zhou, Tengchao Lv:
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification. 476-485 - Vivian Lai, Zheng Cai, Chenhao Tan:
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. 486-495 - Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu, Sheng Gao:
Enhancing Local Feature Extraction with Global Representation for Neural Text Classification. 496-506 - Xiaoan Ding, Kevin Gimpel:
Latent-Variable Generative Models for Data-Efficient Text Classification. 507-517 - Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong:
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. 518-528 - Jon Gauthier, Roger Levy:
Linking artificial and human neural representations of language. 529-539 - Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. 540-551 - Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer:
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. 552-562 - Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger:
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. 563-578 - Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. 579-590 - Xinyu Hua, Lu Wang:
Sentence-Level Content Planning and Style Specification for Neural Text Generation. 591-602 - Angel Daza, Anette Frank:
Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling. 603-615 - Yue Zhang, Rui Wang, Luo Si:
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. 616-626 - Andrea Di Fabio, Simone Conia, Roberto Navigli:
VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling. 627-637 - Ziyi Yang, Chenguang Zhu, Weizhu Chen:
Parameter-free Sentence Embedding via Orthogonal Basis. 638-648 - Mingda Chen, Zewei Chu, Kevin Gimpel:
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. 649-662 - Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco:
Extracting Possessions from Social Media: Images Complement Language. 663-672 - Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam, Jason Weston:
Learning to Speak and Act in a Fantasy Text Adventure Game. 673-683 - Khanh Nguyen, Hal Daumé III:
Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. 684-695 - Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari:
Incorporating Visual Semantics into Sentence Representations within a Grounded Space. 696-707 - Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge J. Belongie:
Neural Naturalist: Generating Fine-Grained Image Comparisons. 708-717 - Henry Rosales-Méndez, Aidan Hogan, Barbara Poblete:
Fine-Grained Evaluation for Entity Linking. 718-727 - Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan:
Supervising Unsupervised Open Information Extraction Models. 728-737 - Jian Liu, Yubo Chen, Kang Liu, Jun Zhao:
Neural Cross-Lingual Event Detection with Minimal Parallel Resources. 738-748 - Filipe de Sá Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza, Denilson Barbosa:
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population. 749-758 - Aditya Gupta, Greg Durrett:
Effective Use of Transformer Networks for Entity Tracking. 759-769 - Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou, Shuai Ma:
Explicit Cross-lingual Pre-training for Unsupervised Machine Translation. 770-779 - Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian:
Latent Part-of-Speech Sequences for Neural Machine Translation. 780-790 - Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun:
Improving Back-Translation with Uncertainty-based Confidence Estimation. 791-802 - Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li:
Towards Linear Time Neural Machine Translation with Capsule Networks. 803-812 - Xiaofei Shi, Yanghua Xiao:
Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment. 813-822 - Masud Moshtaghi:
Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages. 823-832 - Shijie Wu, Mark Dredze:
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. 833-844 - Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo:
Iterative Dual Domain Adaptation for Neural Machine Translation. 845-855 - Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang:
Multi-agent Learning for Neural Machine Translation. 856-865 - Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney:
Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. 866-876 - Elena Voita, Rico Sennrich, Ivan Titov:
Context-Aware Monolingual Repair for Neural Machine Translation. 877-886 - Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Multi-Granularity Self-Attention for Neural Machine Translation. 887-897 - Biao Zhang, Ivan Titov, Rico Sennrich:
Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention. 898-909 - Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme:
A Discriminative Neural Model for Cross-Lingual Word Alignment. 910-920 - Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi:
One Model to Learn Both: Zero Pronoun Prediction and Translation. 921-930 - Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen:
Dynamic Past and Future for Neural Machine Translation. 931-941 - Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat-Seng Chua:
Revisit Automatic Error Detection for Wrong and Missing Translation - A Supervised Approach. 942-952 - Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. 953-962 - Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu:
Multilingual Neural Machine Translation with Language Clustering. 963-973 - Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann A. Copestake:
Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction. 974-983 - Antonios Anastasopoulos, Graham Neubig:
Pushing the Limits of Low-Resource Morphological Inflection. 984-996 - Meishan Zhang, Yue Zhang, Guohong Fu:
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. 997-1006 - Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing:
Hierarchical Pointer Net Parsing. 1007-1017 - Rui Cai, Mirella Lapata:
Semi-Supervised Semantic Role Labeling with Cross-View Training. 1018-1027 - Zuyi Bao, Rui Huang, Chen Li, Kenny Q. Zhu:
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations. 1028-1039 - Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang:
A Lexicon-Based Graph Neural Network for Chinese NER. 1040-1050 - Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen, Jinan Xu:
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. 1051-1060 - Yau-Shian Wang, Hung-yi Lee, Yun-Nung Chen:
Tree Transformer: Integrating Tree Structures into Self-Attention. 1061-1070 - Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
Semantic Role Labeling with Iterative Structure Refinement. 1071-1082 - Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton:
Entity Projection via Machine Translation for Cross-Lingual NER. 1083-1092 - Edwin Simpson, Iryna Gurevych:
A Bayesian Approach for Sequence Tagging with Crowds. 1093-1104 - Clara Vania, Yova Kementchedjhieva, Anders Søgaard, Adam Lopez:
A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages. 1105-1116 - Tao Meng, Nanyun Peng, Kai-Wei Chang:
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing. 1117-1128 - Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell:
Look-up and Adapt: A One-shot Semantic Parser. 1129-1139 - Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong:
Similarity Based Auxiliary Classifier for Named Entity Recognition. 1140-1149 - Benoît Crabbé, Murielle Fabre, Christophe Pallier:
Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal. 1150-1160 - Mor Geva, Yoav Goldberg, Jonathan Berant:
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets. 1161-1166 - Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama:
Robust Text Classifier on Test-Time Budgets. 1167-1172 - Joe Davison, Joshua Feldman, Alexander M. Rush:
Commonsense Knowledge Mining from Pretrained Models. 1173-1178 - Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. 1179-1184 - Philipp Dufter, Hinrich Schütze:
Analytical Methods for Interpretable Ultradense Word Embeddings. 1185-1191 - Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos:
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks. 1192-1197 - Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang:
Retrofitting Contextualized Word Embeddings with Paraphrases. 1198-1203 - Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin:
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. 1204-1209 - Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush:
Neural Linguistic Steganography. 1210-1215 - Simeng Sun, Ani Nenkova:
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization. 1216-1221 - Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang:
Attention Optimization for Abstractive Document Summarization. 1222-1228 - Rahul Aralikatte, Heather C. Lent, Ana Valeria González-Garduño, Daniel Hershcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard:
Rewarding Coreference Resolvers for Being Consistent with World Knowledge. 1229-1235 - Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui:
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. 1236-1242 - Weiwei Yang, Jordan L. Boyd-Graber, Philip Resnik:
A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability. 1243-1248