EMNLP 2019

1,120 papers

Towards Controllable and Personalized Review Generation

Pan Li, Alexander Tuzhilin

Deep Copycat Networks for Text-to-Text Generation

Julia Ive, Pranava Madhyastha, Lucia Specia

Improving Question Generation With to the Point Context

Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu

Toward a Task of Feedback Comment Generation for Writing Learning

Ryo Nagata

Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning

Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura

Enhancing AMR-to-Text Generation with Dual Graph Representations

Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych

Exploring Diverse Expressions for Paraphrase Generation

Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu

Referring Expression Generation Using Entity Profiles

Meng Cao, Jackie Chi Kit CHEUNG

Subtopic-driven Multi-Document Summarization

Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy

Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)

Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu

An End-to-End Generative Architecture for Paraphrase Generation

Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang

Mixture Content Selection for Diverse Sequence Generation

Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi

Better Rewards Yield Better Summaries: Learning to Summarise Without References

Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan

IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation

Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus

Surface Realisation Using Full Delexicalisation

Anastasia Shimorina, Claire Gardent

Concept Pointer Network for Abstractive Summarization

Wenbo Wang, Yang Gao, Heyan Huang, Yuxiang Zhou

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning

Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung

NCLS: Neural Cross-Lingual Summarization

Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang

Contrastive Attention Mechanism for Abstractive Sentence Summarization

Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo

Reading Like HER: Human Reading Inspired Extractive Summarization

Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang

Enhancing Neural Data-To-Text Generation Models with External Background Knowledge

Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin

Extractive Summarization of Long Documents by Combining Global and Local Context

Wen Xiao, Giuseppe Carenini

Attribute-aware Sequence Network for Review Summarization

Junjie Li, Xuepeng Wang, Dawei Yin, Chengqing Zong

Weakly Supervised Multilingual Causality Extraction from Wikipedia

Chikara Hashimoto

A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing

Zeyu Dai, Ruihong Huang

Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite

Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova, Preslav Nakov

Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials

Wonsuk Yang, Seungwon Yoon, Ada Carpenter, Jong Park

Evaluating adversarial attacks against multiple fact verification systems

James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions

Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang

Modeling Frames in Argumentation

Yamen Ajjour, Milad Alshomary, Henning Wachsmuth, Benno Stein

What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments

David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan

Towards Zero-shot Language Modeling

Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart, Anna Korhonen

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

Aixiu An, Peng Qian, Ethan Wilcox, Roger Levy

Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs

Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix

Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts

Sandro Pezzelle, Raquel Fernández

A Discrete Hard EM Approach for Weakly Supervised Question Answering

Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer

Learning with Limited Data for Multilingual Reading Comprehension

Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren

What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering

Tushar Khot, Ashish Sabharwal, Peter Clark

Interactive Language Learning by Question Answering

Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal

75 Languages, 1 Model: Parsing Universal Dependencies Universally

Dan Kondratyuk, Milan Straka

Semantic graph parsing with recurrent neural network DAG grammars

Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata

Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited

Artur Kulmizev, Miryam de Lhoneux, Johannes Gontrum, Elena Fano, Joakim Nivre

Specializing Word Embeddings (for Parsing) by Information Bottleneck

Xiang Lisa Li, Jason Eisner

Designing and Interpreting Probes with Control Tasks

John Hewitt, Percy Liang

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model

Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li

Query-focused Scenario Construction

Su Wang, Greg Durrett, Katrin Erk

Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange

Steven Y. Feng, Aaron W. Li, Jesse Hoey

Asynchronous Deep Interaction Network for Natural Language Inference

Di Liang, Fubao Zhang, Qi Zhang, Xuanjing Huang

Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder

Li Du, Xiao Ding, Ting Liu, Zhongyang Li

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion

Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song, Tao Zhang

Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching

Mingtong Liu, Yujie Zhang, Jinan Xu, Yufeng Chen

DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning

Ruiping Li, Xiang Cheng

Learning to Update Knowledge Graphs by Reading News

Jizhi Tang, Yansong Feng, Dongyan Zhao

Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning

Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao

Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering

Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu

NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions

Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim

Answering Complex Open-domain Questions Through Iterative Query Generation

Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering

Vikas Yadav, Steven Bethard, Mihai Surdeanu

PubMedQA: A Dataset for Biomedical Research Question Answering

Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, Xinghua Lu

Revealing the Importance of Semantic Retrieval for Machine Reading at Scale

Yixin Nie, Songhe Wang, Mohit Bansal

Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension

Todor Mihaylov, Anette Frank

Answering questions by learning to rank - Learning to rank by answering questions

George Sebastian Pirtoaca, Traian Rebedea, Stefan Ruseti

Incorporating External Knowledge into Machine Reading for Generative Question Answering

Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia

Adversarial Domain Adaptation for Machine Reading Comprehension

Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Shiyue Zhang, Mohit Bansal

Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks

Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou

NumNet: Machine Reading Comprehension with Numerical Reasoning

Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu

Language Models as Knowledge Bases?

Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels

Yimin Jing, Deyi Xiong, Zhen Yan

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base

Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang

Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss

Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao

A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs

Katsuhiko Hayashi, Masashi Shimbo

Ranking and Sampling in Open-Domain Question Answering

Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang

Finding Generalizable Evidence by Learning to Convince Q&A Models

Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning

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

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

Haitian Sun, Tania Bedrax-Weiss, William Cohen

Tree-structured Decoding for Solving Math Word Problems

Qianying Liu, Wenyv Guan, Sujian Li, Daisuke Kawahara

Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference

Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu

Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content

Sepideh Mesbah, jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi

Identifying Predictive Causal Factors from News Streams

Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Lakshminarayanan Subramanian

Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization

Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang

The Myth of Double-Blind Review Revisited: ACL vs. EMNLP

Cornelia Caragea, Ana Uban, Liviu P. Dinu

Predicting Discourse Structure using Distant Supervision from Sentiment

Patrick Huber, Giuseppe Carenini

Weak Supervision for Learning Discourse Structure

Sonia Badene, Kate Thompson, Jean-Pierre Lorré, Nicholas Asher

Neural Generative Rhetorical Structure Parsing

Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos

Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information

Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee

A Unified Neural Coherence Model

Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty, Chi Xu

Negative Focus Detection via Contextual Attention Mechanism

Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu

Modeling Color Terminology Across Thousands of Languages

Arya D. McCarthy, Winston Wu, Aaron Mueller, William Watson, David Yarowsky

How well do NLI models capture verb veridicality?

Alexis Ross, Ellie Pavlick

Modelling the interplay of metaphor and emotion through multitask learning

Verna Dankers, Marek Rei, Martha Lewis, Ekaterina Shutova

Cross-lingual Semantic Specialization via Lexical Relation Induction

Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen

A Deep Factorization of Style and Structure in Fonts

Nikita Srivatsan, Jonathan Barron, Dan Klein, Taylor Berg-Kirkpatrick

Show Your Work: Improved Reporting of Experimental Results

Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, Noah A. Smith

Adaptively Sparse Transformers

Gonçalo M. Correia, Vlad Niculae, André F. T. Martins

To Annotate or Not? Predicting Performance Drop under Domain Shift

Hady Elsahar, Matthias Gallé

Universal Adversarial Triggers for Attacking and Analyzing NLP

Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh

TIGEr: Text-to-Image Grounding for Image Caption Evaluation

Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang