EMNLP

A Discrete Hard EM Approach for Weakly Supervised Question Answering

Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer

Comments Published as a conference paper at EMNLP 2019 (long). Code available at https://github.com/shmsw25/qa-hard-em

WIQA: A dataset for "What if..." reasoning over procedural text

Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark

Comments Accepted at EMNLP 2019

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation

Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas

Comments 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019)

Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization

Siyao Li, Deren Lei, Pengda Qin, William Yang Wang

Comments EMNLP 2019

Revealing the Dark Secrets of BERT

Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky

Comments Accepted to EMNLP 2019

SciBERT: A Pretrained Language Model for Scientific Text

Iz Beltagy, Kyle Lo, Arman Cohan

Comments https://github.com/allenai/scibert

Journal ref EMNLP 2019

Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study

Aixiu An, Peng Qian, Ethan Wilcox, Roger Levy

Comments To appear at EMNLP 2019

Countering Language Drift via Visual Grounding

Jason Lee, Kyunghyun Cho, Douwe Kiela

Comments Accepted to EMNLP 2019

Select and Attend: Towards Controllable Content Selection in Text Generation

Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine

Comments EMNLP 2019

Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation

Huiyun Yang, Shujian Huang, Xinyu Dai, Jiajun Chen

Comments EMNLP 2019

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification

Jiawei Wu, Wenhan Xiong, William Yang Wang

Comments 11pages, 5 figures, accepted to EMNLP 2019

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis

Comments 5 pages, accepted at EMNLP 2019

Entity, Relation, and Event Extraction with Contextualized Span Representations

David Wadden, Ulme Wennberg, Yi Luan, Hannaneh Hajishirzi

Comments EMNLP 2019

Examining Gender Bias in Languages with Grammatical Gender

Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang

Comments 9 pages, 4 figures. Accepted at EMNLP-IJCNLP 2019 as a long paper

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

Rui Zhang, Tao Yu, He Yang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev

Comments EMNLP 2019

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining

Alexandre Garcia, Pierre Colombo, Slim Essid, Florence d'Alché-Buc, Chloé Clavel

Comments Accepted to 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP) and 9th International Joint Conference on Natural Language Processing (IJCNLP)

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction

Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren

Comments 13 pages: 10 pages paper, 3 pages appendix. Appears at EMNLP 2019

Neural Extractive Text Summarization with Syntactic Compression

Jiacheng Xu, Greg Durrett

Comments 14 pages, EMNLP 2019

The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets

Charuta Pethe, Steven Skiena

Comments 11 pages, 4 figures. Accepted at EMNLP-IJCNLP 2019 as a long paper

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue

Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau, Jason Weston

Comments EMNLP 2019

Nearly-Unsupervised Hashcode Representations for Relation Extraction

Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi

Comments Proceedings of EMNLP-19

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Christopher Clark, Mark Yatskar, Luke Zettlemoyer

Comments In EMNLP 2019

What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis

Xiaolei Huang, Jonathan May, Nanyun Peng

Comments 7 pages

Journal ref published at EMNLP 2019

Neural Gaussian Copula for Variational Autoencoder

Prince Zizhuang Wang, William Yang Wang

Comments 11 pages

Journal ref EMNLP 2019

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions

Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark

Comments EMNLP'19

Designing and Interpreting Probes with Control Tasks

John Hewitt, Percy Liang

Comments EMNLP 2019

Dependency Parsing for Spoken Dialog Systems

Sam Davidson, Dian Yu, Zhou Yu

Comments To be presented at EMNLP 2019

Semantic Role Labeling with Iterative Structure Refinement

Chunchuan Lyu, Shay B. Cohen, Ivan Titov

Journal ref EMNLP 2019

"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding

Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth

Comments EMNLP 2019 (short paper). arXiv admin note: text overlap with arXiv:1908.04926

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Comments EMNLP'2019