Accepted Papers
The long papers, short papers, and demo papers listed below have been accepted at the EMNLP-IJCNLP 2019. Notice that some papers may have changed their exact title after acceptance.
Long Papers
- “Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer
Akhilesh Sudhakar, Bhargav Upadhyay and Arjun Maheswaran - (Male, Bachelor) and (Female, Ph.D) have different connotations : Parallelly Annotated Stylistic Language Dataset with Multiple Personas
Dongyeop Kang and Eduard Hovy - 75 Languages, 1 Model: Parsing Universal Dependencies Universally
Dan Kondratyuk and Milan Straka - A Bayesian Approach for Sequence Tagging with Crowds
Edwin D. Simpson and Iryna Gurevych - A Benchmark Dataset for Learning to Intervene in Online Hate Speech
Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding and William Yang Wang - A Boundary-aware Neural Model for Nested Named Entity Recognition
Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung and Guandong Xu - A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature
He Zhao, Zhunchen Luo, Chong Feng, Anqing Zheng and Xiaopeng Liu - A Dataset of General-Purpose Rebuttal
Matan Orbach, Yonatan Bilu, Ariel Gera, Yoav Kantor, Lena Dankin, Tamar Lavee, Lili Kotlerman, Shachar Mirkin, Michal Jacovi, Ranit Aharonov and Noam Slonim - A Deep Factorization of Style and Structure in Fonts
Akshay Srivatsan, Jonathan Barron, Dan Klein and Taylor Berg-Kirkpatrick - A Deep Neural Information Fusion Architecture for Textual Network Embeddings
Zenan Xu, Qinliang Su, Xiaojun Quan and Weijia Zhang - A Discrete CVAE for Response Generation on Short-Text Conversation
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou and Shuming Shi - A Discrete Hard EM Approach for Weakly Supervised Question Answering
Sewon Min, Danqi Chen, Hannaneh Hajishirzi and Luke Zettlemoyer - A Discriminative Neural Model for Cross-Lingual Word Alignment
Elias Stengel-Eskin, Tzu-ray Su, Matt Post and Benjamin Van Durme - A Functionalist Account of Vowel System Typology
Ryan Cotterell and Jason Eisner - A Hierarchical Location Prediction Neural Network for Twitter User Geolocation
Binxuan Huang and Kathleen Carley - A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu and Ruibin Mao - A Lexicon-Based Graph Neural Network for Chinese NER
Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei and Xuanjing Huang - 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 and Jaime Carbonell - A Logic-Driven Framework for Consistency of Neural Models
Tao Li, Vivek Gupta, Maitrey Mehta and Vivek Srikumar - A Modular Architecture for Unsupervised Sarcasm Generation
Abhijit Mishra, Tarun Tater and Karthik Sankaranarayanan - A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning
Minghao Hu, Yuxing Peng, Zhen Huang and Dongsheng Li - A Neural Citation Count Prediction Model based on Peer Review Text
Siqing Li, Wayne Xin Zhao, Jing Yin and Jirong Wen - A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
Katsuhiko Hayashi and Masashi Shimbo - A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis
Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen and Jie Zhou - A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection
Harshit Kumar, Arvind Agarwal and Sachindra Joshi - A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing
Zeyu Dai and Ruihong Huang - A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation
Jinxin Chang, Ruifang He, Longbiao Wang, Xiangyu Zhao, Ting Yang and Ruifang Wang - A Split-and-Recombine Approach for Follow-up Query Analysis
Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang LOU, Lei Fang, Bin Zhou and Dongmei Zhang - A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen and Ting Liu - A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
Qingrong Xia, Zhenghua Li and Min Zhang - A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages
Clara Vania, Yova Kementchedjhieva, Anders Søgaard and Adam Lopez - A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features
hongyin tang, Miao Li and Beihong Jin - A Unified Neural Coherence Model
Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty and Chi Xu - Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham and Pushmeet Kohli - Adaptive Parameterization for Neural Dialogue Generation
Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao and Dawei Yin - Adaptively Sparse Transformers
Gonçalo M. Correia, Vlad Niculae and André F. T. Martins - Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
Shiyue Zhang and Mohit Bansal - Adversarial Domain Adaptation for Machine Reading Comprehension
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao and Hongning Wang - Adversarial Reprogramming of Text Classification Neural Networks
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov and Farinaz Koushanfar - Aligning Cross-lingual Entities with Multi-Aspect Information
Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin and Xu SUN - AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown and Alyssa Hwang - An End-to-End Generative Architecture for Paraphrase Generation
Qian Yang, zhouyuan huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang and Lawrence Carin - An Entity-Driven Framework for Abstractive Summarization
Eva Sharma, Luyang Huang, Zhe Hu and Lu Wang - Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation
Weichao Wang, Shi Feng, Daling Wang and Yifei Zhang - Answering Complex Open-domain Questions Through Iterative Query Generation
Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang and Christopher D. Manning - Answering questions by learning to rank - Learning to rank by answering questions
George Sebastian Pirtoaca, Traian Rebedea and Stefan Ruseti - Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski and Jacopo Staiano - ARAML: A Stable Adversarial Training Framework for Text Generation
Pei Ke, Fei Huang, Minlie Huang and xiaoyan zhu - Are You for Real? Detecting Identity Fraud via Dialogue Interactions
Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong and Zhifei Li - Asking Clarification Questions in Knowledge-Based Question Answering
Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou and Xu SUN - Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
Chen Zhang, Qiuchi Li and Dawei Song - Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree
Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao and Xudong Liu - Asynchronous Deep Interaction Network for Natural Language Inference
Di Liang, Fubao Zhang, Qi Zhang and Xuanjing Huang - Attending to Future Tokens for Bidirectional Sequence Generation
Carolin Lawrence, Bhushan Kotnis and Mathias Niepert - Attention is Not Not Explanation
Sarah Wiegreffe and Yuval Pinter - Attribute-aware Sequence Network for Review Summarization
Junjie Li, Xuepeng Wang, Dawei Yin and Chengqing Zong - Auditing Deep Learning processes through Kernel-based Explanatory Models
Danilo Croce, Daniele Rossini and Roberto Basili - Automatic Argument Quality Assessment - New Datasets and Methods
Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov and Noam Slonim - Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach
Wenpeng Yin, Jamaal Hay and Dan Roth - Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
Shijie Wu and Mark Dredze - Better Rewards Yield Better Summaries: Learning to Summarise Without References
Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan and Iryna Gurevych - BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
Yimin Jing, Deyi Xiong and Zhen Yan - Bridging the Gap of Relevance Matching and Semantic Matching with Hierarchical Co-Attention Network
Jinfeng Rao, Linqing Liu, Tay Yi, Wei Yang, Peng Shi and Jimmy Lin - Broad-Coverage Semantic Parsing as Transduction
Sheng Zhang, Xutai Ma, Kevin Duh and Benjamin Van Durme - Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
Emily Dinan, Samuel Humeau, Bharath Chintagunta and Jason Weston - Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation
Mingyang Zhou, Josh Arnold and Zhou Yu - CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng and Xiaowei Shen - Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification
Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu and Ming Liu - Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks
Xinchi Chen, Chunchuan Lyu and Ivan Titov - CaRe: Open Knowledge Graph Embeddings
Swapnil Gupta, Sreyash Kenkre and Partha Talukdar - Certified Robustness to Adversarial Word Substitutions
Robin Jia, Aditi Raghunathan, Kerem Göksel and Percy Liang - Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
Peng Xu, Chien-Sheng Wu, Andrea Madotto and Pascale Fung - Cloze-driven Pretraining of Self-attention Networks
Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer and Michael Auli - CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau and William L. Hamilton - CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen and Jinan Xu - CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums
Ella Rabinovich, Masih Sultani and Suzanne Stevenson - Collaborative Policy Learning for Open Knowledge Graph Reasoning
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin and Xiang Ren - Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification
Oren Melamud, Mihaela Bornea and Ken Barker - Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
Elissa Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu, Miraida Morales, Denis Peskov, Sudha Rao, Rock Stevens, Kristina Gligorić, Sean Kross, Michelle Mazurek and Hal Daumé III - Compositional Generalization for Premitive Substitutions
Yuanpeng Li, Liang Zhao, Jianyu Wang and Joel Hestness - Concept Pointer Network for Abstractive Summarization
Wenbo Wang, Yang Gao, Heyan Huang and Yuxiang Zhou - Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
Fenia Christopoulou, Makoto Miwa and Sophia Ananiadou - Constant-Time Machine Translation with Conditional Masked Language Models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu and Luke Zettlemoyer - Constraint-based Learning of Phonological Processes
Shraddha Barke, Rose Kunkel, Nadia Polikarpova, Eric Meinhardt, Eric Bakovic and Leon Bergen - Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis
Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya - Context-Aware Monolingual Repair for Neural Machine Translation
Elena Voita, Rico Sennrich and Ivan Titov - Contrastive Attention Mechanism for Abstractive Sentence Summarization
Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo and Yue Zhang - Contrastive Language Adaptation for Cross-Lingual Stance Detection
Mitra Mohtarami, James Glass and Preslav Nakov - Controlling Text Complexity in Neural Machine Translation
Sweta Agrawal and Marine Carpuat - Core Semantic First: A Top-down Approach for AMR Parsing
Deng Cai and Wai Lam - Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
Lifu Huang, Ronan Le Bras, Chandra Bhagavatula and Yejin Choi - CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki and Dragomir Radev - Counterfactual Story Reasoning and Generation
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark and Yejin Choi - Countering Language Drift via Grounding
Jason Lee, Kyunghyun Cho and Douwe Kiela - Coupling Global and Local Context for Unsupervised Aspect Extraction
Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu and Kam-Fai Wong - Cross-Cultural Transfer Learning for Text Classification
Dor Ringel, Gal Lavee, Ido Guy and Kira Radinsky - Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank
Meishan Zhang, Yue Zhang and Guohong Fu - Cross-Lingual Machine Reading Comprehension
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang and Guoping Hu - Cross-lingual Semantic Specialization via Lexical Relation Induction
Edoardo Maria Ponti, Ivan Vulić, Goran Glavaś, Roi Reichart and Anna Korhonen - Cross-lingual Structure Transfer for Relation and Event Extraction
Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil and Clare Voss - CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu and Jiawei Han - Data-Anonymous Encoding for Text-to-SQL Generation
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou and Dongmei Zhang - Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks
Igor Shalyminov, Sungjin Lee, Arash Eshghi and Oliver Lemon - DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization
Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li and Jun Xiao - 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 and Joakim Nivre - Deep Copycat Networks for Text-to-Text Generation
Julia Ive, Pranava Madhyastha and Lucia Specia - Deep Ordinal Regression for Pledge Specificity Prediction
Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin - Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference
Ahmadreza Mosallanezhad, Ghazaleh Beigi and Huan Liu - Denoising-based Sequence-to-Sequence Pre-training for Text Generation
Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li and Jingming Liu - Dependency-Guided LSTM-CRF for Named Entity Recognition
Zhanming Jie and Wei Lu - Designing and Interpreting Probes with Control Tasks
John Hewitt and Percy Liang - Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si and Xiaozhong Liu - Detecting and Reducing Bias in a High Stakes Domain
Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous and Kathy McKeown - Detecting Causal Language Use in Science Findings
Bei Yu, Yingya Li and Jun Wang - Dialog Intent Induction with Deep Multi-View Clustering
Hugh Perkins and Yi Yang - DialogueGCN: A Graph-based Network for Emotion Recognition in Conversation
Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya and Alexander Gelbukh - Different Acquisition from the Same Sharing: Sifting Multi-task Learning for Fake News Detection
Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir and Ling Sun - Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension
Todor Mihaylov and Anette Frank - Distributionally Robust Language Modeling
Yonatan Oren, Shiori Sagawa, Tatsunori Hashimoto and Percy Liang - DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
Ruiping Li and Xiang Cheng - Do Neural NLP Models Know Numbers? Probing Numeracy in Embeddings
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh and Matt Gardner - Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
Ivan Vulić, Goran Glavaś, Roi Reichart and Anna Korhonen - Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
Shun Zheng, Wei Cao, Wei Xu and Jiang Bian - Document Hashing with Mixture-Prior Generative Models
Wei Dong, Qinliang Su, Dinghan Shen and Changyou Chen - Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network
Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang and Ji-Rong Wen - Domain Adaptive Text Style Transfer
Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan and Ming-Ting Sun - Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng and Zhong Su - Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction
Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell and Ann Copestake - Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
Jonathan Herzig and Jonathan Berant - Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark, Mark Yatskar and Luke Zettlemoyer - Dual Attention Networks for Visual Reference Resolution in Visual Dialog
Gi-Cheon Kang, Jaeseo Lim and Byoung-Tak Zhang - Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots
Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu and Quan Liu - DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
Yi-Lin Tuan, Yun-Nung Chen and Hung-yi Lee - Dynamic Past and Future for Neural Machine Translation
Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, XIN-YU DAI and Jiajun CHEN - Earlier Isn’t Always Better: Submodular Analysis on Corpus and System Biases in Summarization
Taehee Jung, Dongyeop Kang, Lucas Mentch and Eduard Hovy - Easy First Relation Extraction with Information Redundancy
Shuai Ma, Gang Wang, Yansong Feng and Jinpeng Huai - Editing-based SQL Query Generation for Cross-Domain Context-Dependent Questions
Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher and Dragomir Radev - Effective Use of Transformer Networks for Entity Tracking
Aditya Gupta and Greg Durrett - Efficient Vector Retrieval under Maximum Inner Product
Shulong Tan, Zhixin Zhou, Zhaozhuo Xu and Ping Li - Emergent Linguistic Phenomena in Multi-Agent Communication Games
Laura Harding Graesser, Kyunghyun Cho and Douwe Kiela - Emotion Detection with Neural Personal Discrimination
Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou and Min Zhang - Empirical Study of Transformer’s Attention Mechanism via the Lens of Kernel
Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency and Ruslan Salakhutdinov - Encode, Tag, Realize: High-Precision Text Editing
Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka and Aliaksei Severyn - Enhancing AMR-to-Text Generation with Dual Graph Representations
Leonardo F. R. Ribeiro, Claire Gardent and Iryna Gurevych - Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level NMT
Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng and Jie Zhou - Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph
Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei and Ting Chen - Enhancing Local Feature Extraction with Global Representation for Neural Text Classification
Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu and Sheng GAO - Enhancing Neural Data-To-Text Generation Models with External Background Knowledge
Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin and Chin-Yew Lin - Enhancing Recurrent Variational Autoencoders with Mutual Information Estimation for Text Generation
Dong Qian and William K. Cheung - EntEval: A Holistic Evaluation Benchmark for Entity Representations
Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos and Kevin Gimpel - Entity Projection via Machine-Translation for Cross-Lingual NER
Alankar Jain, Bhargavi Paranjape and Zachary C. Lipton - Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever
Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li and Ting Liu - Evaluating adversarial attacks against multiple fact verification systems
James Thorne, Andreas Vlachos, Christos Christodoulopoulos and Arpit Mittal - Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite
Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova and Preslav Nakov - Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations
Mingda Chen, Zewei Chu and Kevin Gimpel - Event Detection with Trigger-Aware Lattice Neural Network
Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng and Zibo Lin - Event Representation Learning Enhanced with External Commonsense Knowledge
Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li and Junwen Duan - Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih and Peter Clark - Examining Gender Bias in Languages with Grammatical Gender
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell and Kai-Wei Chang - Executing Instructions in Situated Collaborative Interactions
Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang and Yoav Artzi - Experimenting with Power Divergences for Language Modeling
Matthieu Labeau and Shay B. Cohen - Explicit Cross-lingual Pre-training for Unsupervised Machine Translation
Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou and Shuai Ma - Exploiting Monolingual Data at Scale for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia, Tao QIN, Jianhuang Lai and Tie-Yan Liu - Exploring Diverse Expressions for Paraphrase Generation
Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang and Yong Yu - Exploring Human Gender Stereotypes with Word Association Test
Yupei Du, Yuanbin Wu and Man Lan - Extracting Possessions from Social Media: Images Complement Language
Dhivya Chinnappa, Srikala Murugan and Eduardo Blanco - Extractive Summarization of Long Documents by Combining Global and Local Context
Wen Xiao and Giuseppe Carenini - Fact-Checking Meets Fauxtography: Verifying Claims About Images
Dimitrina Zlatkova, Preslav Nakov and Ivan Koychev - Finding Generalizable Evidence by Learning to Convince Q&A Models
Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela and Kyunghyun Cho - Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts
Luke Breitfeller, Emily Ahn, Aldrian Obaja Muis, David Jurgens and Yulia Tsvetkov - Fine-Grained Analysis of Propaganda in News Articles
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov and Preslav Nakov - Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
Hailong Jin, Lei Hou, Juanzi Li and Tiansi Dong - Fine-Grained Evaluation for Entity Linking
Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete - Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation
Huiyun Yang, Shujian Huang, XIN-YU DAI and Jiajun CHEN - FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig and Eduard Hovy - From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid and Chloé Clavel - Fusion of Detected Objects in Text for Visual Question Answering
Chris Alberti, Jeffrey Ling, Michael Collins and David Reitter - Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation
Rocco Tripodi and Roberto Navigli - GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue
Jun Quan, Deyi Xiong, Bonnie Webber and Changjian Hu - Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie and Jun Zhao - Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog
Ryuichi Takanobu, Hanlin Zhu and Minlie Huang - Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag
Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang and Chunhong Pan - Help, Anna! Vision-based Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
Khanh Nguyen and Hal Daumé III - Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification
Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji and Xiaoli Li - Hierarchical Attention Prototypical Networks for Few-Shot Text Classification
Shengli Sun, Qingfeng Sun, Kevin Zhou and Tengchao Lv - Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation
Xin Tan, Longyin Zhang, Deyi Xiong and Guodong Zhou - Hierarchical Pointer Net Parsing
Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han and Lidong Bing - Hierarchical Text Classification with Reinforced Label Assignment
Yuning Mao, Jingjing Tian, Jiawei Han and Xiang Ren - Hierarchically-Refined Label Attention Network for Sequence Labeling
Leyang Cui and Yue Zhang - Hierarchy Response Learning for Neural Conversation Generation
Bo Zhang and Xiaoming Zhang - How Contextual are Contextualized Word Representations?
Kawin Ethayarajh - How to Build User Simulators to Train RL-based Dialog Systems
Weiyan Shi, Kun Qian, Xuewei Wang and Zhou Yu - How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao and Rui Yan - How well do NLI models capture verb veridicality?
Alexis Ross and Ellie Pavlick - Human-grounded Evaluations of Explanation Methods for Text Classification
Piyawat Lertvittayakumjorn and Francesca Toni - Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning
Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu and Guodong Zhou - Identifying and Explaining Discriminative Attributes
Armins Stepanjans and André Freitas - Identifying Predictive Causal Factors from News Streams
Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger and Lakshminarayanan Subramanian - Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach
Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh and In So Kweon - Implicit Deep Latent Variable Models for Text Generation
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong and Changyou Chen - Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
Christian Hadiwinoto, Hwee Tou Ng and Wee Chung Gan - Improving Back-Translation with Uncertainty-based Confidence Estimation
Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan and Maosong Sun - Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention
Biao Zhang, Ivan Titov and Rico Sennrich - Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
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Lingyong Yan, Xianpei Han, Le Sun and Ben He - Learning to Copy for Automatic Post-Editing
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Nan Du, Mingqiu Wang, Linh Tran, Gang Lee and Izhak Shafran - Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
Jiawei Wu, Wenhan Xiong and William Yang Wang - Learning to Speak and Act in a Fantasy Text Adventure Game
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Penghui Wei, Nan Xu and Wenji Mao - Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder
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Xiaofei Shi and Yanghua Xiao - Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders
Zhangming Chan, Juntao Li, Xiaopeng Yang, Xiuying Chen, Wenpeng Hu, Dongyan Zhao and Rui Yan - Modeling the Relationship between User Comments and Edits in Document Revision
Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar and ChangTien Lu - Modelling the interplay of metaphor and emotion through multitask learning
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Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang and Zhaopeng Tu - Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots
Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han and Songlin Hu - 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 and Meng Jiang - Multi-label Categorization of Accounts of Sexism using a Neural Framework
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Jian Liu, Yubo Chen, Kang Liu and Jun Zhao - Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
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Yang Liu and Mirella Lapata - Text-based inference of moral sentiment change
Jing Yi Xie, Renato Ferreira Pinto Junior, Graeme Hirst and Yang Xu - Text2Math: End-to-end Parsing Text into Math Expressions
Yanyan Zou and Wei Lu - The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita, Rico Sennrich and Ivan Titov - The Myth of Blind Review Revisited: Experiments on ACL vs. EMNLP
Cornelia Caragea, Ana Uban and Liviu P. Dinu - The Role of Pragmatic and Discourse Context in Determining Argument Impact
Esin Durmus, Faisal Ladhak and Claire Cardie - The Trumpiest Trump? Identifying a Subject’s Most Characteristic Tweets
Charuta Pethe and Steve Skiena - TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner and Jianfeng Gao - To Annotate or Not? Unsupervised Prediction of Performance Drop due to Domain Shift
Hady Elsahar and Matthias Gallé - Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo and Kyong-Ho Lee - Topics to Avoid: Demoting Latent Confounds in Text Classification
Sachin Kumar, Shuly Wintner, Noah A. Smith and Yulia Tsvetkov - Toward a task of feedback comment generation for writing learning
Ryo Nagata - Towards Controllable and Personalized Review Generation
Pan Li and Alexander Tuzhilin - Towards Knowledge-Based Recommender Dialog System
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang and Jie Tang - Towards Linear Time Neural Machine Translation with Capsule Networks
Mingxuan Wang - Towards Understanding Neural Machine Translation with Word Importance
Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu and Shuming Shi - Towards Zero-shot Language Modelling
Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart and Anna Korhonen - 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 and Geert-Jan Houben - Transfer Learning Between Related Tasks Using Expected Label Proportions
Matan Ben Noach and Yoav Goldberg - Transfer Learning from Medical Literature for Section Prediction in Electronic Health Records
Sara Rosenthal, Ken Barker and Zhicheng Liang - Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang and Qiang Yang - Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling
Angel Daza and Anette Frank - Tree Transformer: Integrating Tree Structures into Self-Attention
Yaushian Wang, Hung-Yi Lee and Yun-Nung Chen - Tree-structured Decoding for Solving Math Word Problems
Qianying Liu, Wenyv Guan, Sujian Li and Daisuke Kawahara - Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop
Jonathan P. Chang and Cristian Danescu-Niculescu-Mizil - TuckER: Tensor Factorization for Knowledge Graph Completion
Ivana Balazevic, Carl Allen and Timothy Hospedales - Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala English
Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary and Marc’Aurelio Ranzato - Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization
Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang and Luo Si - Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation Maximization Framework
Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo and Jie Xu - Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang and Ming Zhou - Universal Trigger Sequences for Attacking and Analyzing NLP
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner and Sameer Singh - Unsupervised Context Rewriting for Open Domain Conversation
Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu and Jingsong Yu - Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents
Jack Hessel, Lillian Lee and David Mimno - Unsupervised Domain Adaptation for Political Document Analysis
Shrey Desai, Barea Sinno, Alex Rosenfeld and Junyi Jessy Li - Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling
Xiaochuang Han and Jacob Eisenstein - Unsupervised Sentence Summarization using the Information Bottleneck Principle
Peter West, Ari Holtzman, Jan Buys and Yejin Choi - Unsupervised Text Attribute Transfer via Iterative Matching and Translation
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews and Enrico Santus - UR-FUNNY: A Multimodal Language Dataset for Understanding Humor
Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency and Mohammed (Ehsan) Hoque - Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning
Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu and Qiong Zhang - Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Angela Fan, Claire Gardent, Chloé Braud and Antoine Bordes - Variable beam search for generative neural parsing and its relevance for neuro-imaging signal analysis
Benoit Crabbé, Murielle Fabre and Christophe Pallier - Variational Hierarchical User-based Conversation Model
JinYeong Bak and Alice Oh - VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling
Andrea Di Fabio, Simone Conia and Roberto Navigli - Video Dialog via Progressive Inference and Cross-Transformer
Weike Jin, Zhou Zhao, Mao Gu, Jun Xiao, Furu Wei and Yueting Zhuang - Visualizing and Understanding the Effectiveness of BERT
Yaru Hao, Li Dong, Furu Wei and Ke Xu - Weak Supervision for Learning Discourse Structure
Sonia Badene, Kate Thompson, Jean-Pierre Lorré and Nicholas Asher - Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation
Yogarshi Vyas and Marine Carpuat - Weakly Supervised Multilingual Causality Extraction fromWikipedia
Chikara Hashimoto - Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings
Haozhou Wang, James Henderson and Paola Merlo - What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments
David Atkinson, Kumar Bhargav Srinivasan and Chenhao Tan - What You See is What You Get: Visual Pronoun Coreference Resolution in Conversations
Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song and Changshui Zhang - What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
Tushar Khot, Ashish Sabharwal and Peter Clark - Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations
Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao and Rui Yan - WikiCREM: A large unsupervised corpus for co-reference resolution
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom and Thomas Lukasiewicz - You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP
Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde and Raquel Fernández - YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension
Weiying Wang, Yongcheng Wang, Shizhe Chen and Qin Jin
Short Papers
- “A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia
Michel Schwab, Robert Jäschke, Frank Fischer and Jannik Strötgen - “Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding
Ben Zhou, Daniel Khashabi, Qiang Ning and Dan Roth - A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis
Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao and Min Yang - A deep-learning framework to detect sarcasm targets
Jasabanta Patro, Srijan Bansal and Animesh Mukherjee - A Gated Self-attention Memory Network for Answer Selection
Tuan Lai, Quan Hung Tran, Trung Bui and Daisuke Kihara - A Label Informative Wide & Deep Classifier for Scientific Publications
Muyao Niu and Jie Cai - A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation
Hagai Taitelbaum, Gal Chechik and Jacob Goldberger - A Multilingual Topic Model for Learning Weighted Topic Links Across Incomparable Corpora
Weiwei Yang, Jordan Boyd-Graber and Philip Resnik - A Pilot Study for Chinese SQL Semantic Parsing
Qingkai Min, Yuefeng Shi and Yue Zhang - A Progressive Model to Enable Continual Learning for Semantic Slot Filling
Yilin Shen, Xiangyu Zeng and Hongxia Jin - A Regularization-based Framework for Bilingual Grammar Induction
Yong Jiang, Wenjuan Han and Kewei Tu - A Robust Self-Learning Framework for Cross-Lingual Text Classification
Xin Dong and Gerard de Melo - A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
Kurt Junshean Espinosa, Makoto Miwa and Sophia Ananiadou - A Span-Extraction Dataset for Chinese Machine Reading Comprehension
Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang and Guoping Hu - A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick and Yiming Yang - Abstract Text Summarization: A Low Resource Challenge
Shantipriya Parida and Petr Motlicek - Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li and Zhiyuan Liu - Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER
Phillip Keung, yichao lu and Vikas Bhardwaj - Adversarial Removal of Demographic Attributes Revisited
Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott and Anders Søgaard - Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching
Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan and Xiaola Lin - An Attentive Fine-Grained Entity Typing Model with Latent Type Representation
Ying Lin and Heng Ji - An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
Wanyu Du and Yangfeng Ji - An Empirical Study of Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer
Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li and Wenhan Chao - An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto and Kentaro Inui - An Evaluation for Intent Classification and Out-of-Scope Prediction
Stefan Larson, Anish Mahendran, Joseph J. Peper, Christopher Clarke, Andrew Lee, Parker Hill, Jonathan K. Kummerfeld, Kevin Leach, Michael A. Laurenzano, Lingjia Tang and Jason mars - An Improved Neural Baseline for Temporal Relation Extraction
Qiang Ning, Sanjay Subramanian and Dan Roth - Analysing the Representational Geometry of Neural Language Encoders
Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low and Anders Søgaard - Analytical Methods for Interpretable Ultradense Word Embeddings
Philipp Dufter and Hinrich Schütze - Answering Conversational Questions on Structured Data without Logical Forms
Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia and Yasemin Altun - Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva, Yoav Goldberg and Jonathan Berant - Attention Optimization for Abstractive Document Summarization
Min Gui, Junfeng Tian, Rui Wang and Zhenglu Yang - Automatically Inferring Gender Associations from Language
Serina Chang and Kathy McKeown - Automatically Learning Data Augmentation Policies for Dialogue Tasks
Tong Niu and Mohit Bansal - Autoregressive Text Generation beyond Feedback Loops
Florian Schmidt, Stephan Mandt and Thomas Hofmann - BERT for Coreference Resolution: Baselines and Analysis
Mandar Joshi, Omer Levy, Luke Zettlemoyer and Daniel Weld - Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling
Koki Washio, Satoshi Sekine and Tsuneaki Kato - Can You Unpack That? Learning to Rewrite Questions-in-Context
Ahmed Elgohary, Denis Peskov and Jordan Boyd-Graber - CaRB: A Crowdsourced Benchmark for Open IE
Sangnie Bhardwaj, Samarth Aggarwal and Mausam - - CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots
Arshit Gupta, Peng Zhang, Garima Lalwani and Mona Diab - Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations
Marco Maru, Federico Scozzafava, Federico Martelli and Roberto Navigli - Charge-Based Prison Term Prediction with Deep Gating Network
Huajie Chen, Deng Cai, Wei Dai, Zehui Dai and Yadong Ding - CLAR: Contextualized and Lexicalized Aspect Representation for Non-factoid Question Answering
Hojae Han, Seungtaek Choi, Haeju Park and Seung-won Hwang - Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation
Dongjun Lee - Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training
Alham Fikri Aji, Kenneth Heafield and Nikolay Bogoychev - Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
Bailin Wang and Wei Lu - Commonsense Knowledge Mining from Pretrained Models
Joe Davison, Joshua Feldman and Alexander Rush - Context-Aware Conversation Thread Detection in Group Chat
Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang and Mo Yu - Entity, Relation, and Event Extraction with Contextualized Span Representations
David Wadden, Ulme Wennberg, Yi Luan and Hannaneh Hajishirzi - Convolutional Neural Networks for Diacritic Restoration
Sawsan Alqahtani, Ajay Mishra and Mona Diab - Countering the effects of lead bias in news summarization via multi-stage training and auxiliary losses
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung and Annie Louis - Coverage of Information Extraction from Sentences and Paragraphs
Simon Razniewski, Nitisha Jain, Paramita Mirza and Gerhard Weikum - Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval
Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang and Jimmy Lin - Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu and Ting Liu - Cross-lingual intent classification in a low resource industrial setting
Talaat Khalil, Kornel Kiełczewski, Georgios Christos Chouliaras, Amina Keldibek and Maarten Versteegh - Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding
Quynh Do and Judith Gaspers - Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas
Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa and Mathias Niepert - Data Augmentation with Atomic Templates for Spoken Language Understanding
Zijian Zhao, Su Zhu and Kai Yu - Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
Soravit Changpinyo, Bo Pang, Piyush Sharma and Radu Soricut - Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization
Siyao Li, Deren Lei, Pengda Qin and William Yang Wang - Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings
Hwiyeol Jo and Ceyda Cinarel - DENS: A Dataset for Multi-class Emotion Analysis
Chen Liu, Muhammad Osama and Anderson De Andrade - Dependency Parsing for Spoken Dialog Systems
Sam Davidson, Dian Yu and Zhou Yu - Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation
Min Zeng, Yisen Wang and Yuan Luo - Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects
James Mullenbach, Jonathan Gordon, Nanyun Peng and Jonathan May - Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
Kang Min Yoo, Taeuk Kim and Sang-goo Lee - EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason Wei and Kai Zou - Efficient Navigation with Language Pre-training and Stochastic Sampling
Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith and Yejin Choi - Efficient Sentence Embedding using Discrete Cosine Transform
Hanan Aldarmaki, Nada Almarwani and Mona Diab - Revealing and Predicting Online Persuasion Strategy with Elementary Units
Gaku Morio, Ryo Egawa and Katsuhide Fujita - Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition
Zhenjie Zhao, Andrew Cattle, Evangelos Papalexakis and Xiaojuan Ma - Encoders Help You Disambiguate Word Senses in Neural Machine Translation
Gongbo Tang, Rico Sennrich and Joakim Nivre - Evaluating BERT for natural language inference: a case study on the CommitmentBank
Nanjiang Jiang and Marie-Catherine de Marneffe - Evaluating Topic Quality with Posterior Variability
Linzi Xing, Michael J. Paul and Giuseppe Carenini - Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge
Kazuma Kadowaki, Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh and Julien Kloetzer - Event Detection with Multi-Order Graph Convolution and Aggregated Attention
Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo and Xueqi Cheng - Exploiting Non-Parallel Corpora in Sentiment Modification
Canasai Kruengkrai - Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels
Lukas Lange, Michael A. Hedderich and Dietrich Klakow - Feature2Vec: Distributional semantic modelling of human property knowledge
Steven Derby, Paul Miller and Barry Devereux - FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou - Fine-tune BERT with Sparse Self-Attention Mechanism
Baiyun Cui, Yingming Li, Ming Chen and Zhongfei Zhang - GEANN: Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Bin Dong and Shanshan Jiang - Generating Highly Relevant Questions
Jiazuo Qiu and Deyi Xiong - Generating Modern Poetry Automatically in Finnish
Mika Hämäläinen and Khalid Alnajjar - Generating Natural Anagrams: Towards Language Generation under Hard Combinatorial Constraints
Masaaki Nishino, Sho Takase, Tsutomu Hirao and Masaaki Nagata - Generating Personalized Recipes from Historical User Preferences
Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni and Julian McAuley - GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level
Zixian Huang, Yulin Shen, Xiao Li, Yu’ang Wei, Gong Cheng, Lin Zhou, Xinyu Dai and Yuzhong Qu - Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension
Daniel Andor, Luheng He, Kenton Lee and Emily Pitler - Global Reasoning over Database Structures for Text-to-SQL Parsing
Ben Bogin, Matt Gardner and Jonathan Berant - GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge
Luyao Huang, Chi Sun, Xipeng Qiu and Xuanjing Huang - Grounding learning of modifier dynamics: An application to colour naming.
Xudong Han, Philip Schulz and Trevor Cohn - HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation
Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh and Philipp Koehn - Handling Syntactic Divergence in Low-resource Machine Translation
Chunting Zhou, Xuezhe Ma, Junjie Hu and Graham Neubig - Has Pepperoni and Still Vegan?! Improving Answer Consistency in VQA through Entailed Question Generation
Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee and Giedrius Burachas - Hierarchical Meta-Embeddings for Code-switching Named Entity Recognition
Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu and Pascale Fung - Hint-based Training for Non-AutoRegressive Machine Translation
Zhuohan Li, Di He, Zi Lin, Fei Tian, Tao QIN, Liwei WANG and Tie-Yan Liu - HMEAE: Hierarchical Modular Event Argument Extraction
Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou and Xiang Ren - How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman and Jackie Chi Kit Cheung - Humor Detection: A Transformer Gets the Last Laugh
Orion Weller and Kevin Seppi - Improved Differentiable Architecture Search for Language Model and Named Entity Recognition
Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang and Jingbo Zhu - Improved Sentence Alignment in Linear Time and Space
Brian Thompson and Philipp Koehn - Improving Answer Selection and Answer Triggering using Hard Negatives
Sawan Kumar, shweta garg, Kartik Mehta and Nikhil Rasiwasia - Improving Fine-grained Entity Typing with Entity Linking
Hongliang Dai, Donghong Du, Xin Li and Yangqiu Song - Improving Neural Story Generation by Targeted Common Sense Grounding
Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley and Garrison Cottrell - Improving Visual Dialog by Learning to Answer Diverse Questions
Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh and Abhishek Das - In Plain Sight: Media Bias through the Lens of Factual Reporting
Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang and Lu Wang - Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling
Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang and Jimmy Lin - Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly and Pawan Goyal - Incorporating Label Dependencies in Multilabel Stance Detection
William Ferreira and Andreas Vlachos - Interpretable Word Embeddings via Informative Priors
Miriam Hurtado Bodell, Martin Arvidsson and MÃ¥ns Magnusson - Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis
Jin Wang, Liang-Chih Yu, K. Robert Lai and Xuejie Zhang - Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks
Zi-Yi Dou, Keyi Yu and Antonios Anastasopoulos - Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O’Connor and Mohit Iyyer - Investigating the Effectiveness of BPE: The Power of Shorter Sequences
Matthias Gallé - Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model
Hyun-Je Song and Seong-Bae Park - Label Embedding using Hierarchical Structure of Labels for Twitter Classification
Taro Miyazaki, Kiminobu Makino, Yuka Takei, Hiroki Okamoto and Jun Goto - Learning Rhyming Constraints using Structured Adversaries
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, and Taylor Berg-Kirkpatrick - Learning with Noisy Labels for Sentence-level Sentiment Classification
Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang and Tianrui Li - Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL
Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang LOU and Zhoujun Li - Linguistic Versus Latent Relations for Modeling a Flow in Paragraphs
Dongyeop Kang and Eduard Hovy - Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
Yova Kementchedjhieva, Mareike Hartmann and Anders Søgaard - Low-Resource Neural Machine Translation by Exploiting Multilingualism through Multi-Step Fine-Tuning Using N-way Parallel Corpora
Raj Dabre, Atsushi Fujita and Chenhui Chu - Machine Reading Comprehension Using Structural Knowledge Graph-aware Network
Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu and Jun Zhao - Machine Translation for Machines: the Sentiment Classification Use Case
amirhossein tebbifakhr, Luisa Bentivogli, Matteo Negri and Marco Turchi - Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study
Bonan Min and Xiaoxi Zhao - Minimally Supervised Learning of Affective Events Using Discourse Relations
Jun Saito, Yugo Murawaki and Sadao Kurohashi - Modeling Multi-Action Policy for Task-Oriented Dialogues
Lei Shu, Hu Xu, Bing Liu and Piero Molino - Modelling Stopping Criteria using Poisson Processes
Alison Sneyd and Mark Stevenson - Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations
Po-Yao Huang, Xiaojun Chang and Alexander Hauptmann - Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati and Bing Xiang - Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrase
Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino and Tomoya Iwakura - Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue
Chenguang Zhu, Michael Zeng and Xuedong Huang - Multi-Task Learning with Language Modeling for Question Generation
Wenjie Zhou, Minghua Zhang and Yunfang Wu - Multi-Task Stance Detection with Sentiment and Stance Lexicons
Yingjie Li and Cornelia Caragea - MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger and Jeremy Howard - Multilingual Grammar Induction with Continuous Language Identification
Wenjuan Han, Ge Wang, Yong Jiang and Kewei Tu - Multilingual word translation using auxiliary languages
Hagai Taitelbaum, Gal Chechik and Jacob Goldberger - Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training
Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu and Shou-De Lin - ner and pos when nothing is capitalized
Stephen Mayhew, Tatiana Tsygankova and Dan Roth - Neural Linguistic Steganography
Zachary Ziegler, Yuntian Deng and Alexander Rush - Neural News Recommendation with Multi-Head Self-Attention
Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang and Xing Xie - Neural Topic Model with Reinforcement Learning
Lin Gui, Jia Leng, Gabriele Pergola, yu zhou, Ruifeng Xu and Yulan He - Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains
Wei Shi and Vera Demberg - On NMT Search Errors and Model Errors: Cat Got Your Tongue?
Felix Stahlberg and Bill Byrne - On the Importance of Delexicalization for Fact Verification
Sandeep Suntwal, Mithun Paul, Rebecca Sharp and Mihai Surdeanu - Out-of-Domain Detection for Low-Resource Text Classification Tasks
Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang and Mo Yu - PaLM: A Hybrid Parser and Language Model
Hao Peng, Roy Schwartz and Noah A. Smith - PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
Yinfei Yang, Yuan Zhang, Chris Tar and Jason Baldridge - Perturbation Sensitivity Analysis for Detecting Unintended Model Biases
Vinodkumar Prabhakaran, Ben Hutchinson and Margaret Mitchell - Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets
Hong-Ren Mao and Hung-Yi Lee - Pre-Training BERT on Domain Resources for Short Answer Grading
Chul Sung, Tejas Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy and Rishi Arora - Preprocessing Matters for Cross-Lingual Named Entity Recognition
Xiaolei Huang, Jonathan May and Nanyun Peng - Pretrained Language Models for Sequential Sentence Classification
Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi and Dan Weld - Pun-GAN: Generative Adversarial Network for Pun Generation
Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui and Xu SUN - QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization
Yi-Ting Yeh and Yun-Nung Chen - Quantifying the Semantic Core of Gender Systems
Adina Williams, Damian Blasi, Lawrence Wolf-Sonkin, Hanna Wallach and Ryan Cotterell - Quantity doesn’t buy quality syntax with neural language models
Marten van Schijndel, Aaron Mueller and Tal Linzen - QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
Oyvind Tafjord, Matt Gardner, Kevin Lin and Peter Clark - Query-focused Sentence Compression in Linear Time
Abram Handler and Brendan O’Connor - Question-type Driven Question Generation
Wenjie Zhou, Minghua Zhang and Yunfang Wu - Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith and Matt Gardner - Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks
Xingwei Tan, Yi Cai and Changxi Zhu - Recurrent Embedding for Neural Machine Translation
Kehai Chen, Rui Wang, Masao Utiyama and Eiichiro Sumita - REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning
Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner and Jianfeng Gao - Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren and Morteza Dehghani - Restoring ancient text using deep learning: a case study on Greek epigraphy
Yannis Assael, Thea Sommerschield and Jonathan Prag - Retrofitting Contextualized Word Embeddings with Paraphrases
Weijia Shi, Muhao Chen, Pei Zhou and Kai-Wei Chang - Revisiting the Evaluation of Theory of Mind through Question Answering
Matthew Le, Y-Lan Boureau and Maximilian Nickel - Rewarding Coreference Resolvers for Being Consistent with World Knowledge
Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Herschcovich, Chen Qiu, Anders Sandholm, Michael Ringaard and Anders Søgaard - RNN Architecture Learning with Sparse Regularization
Jesse Dodge, Roy Schwartz, Hao Peng and Noah A. Smith - Robust Text Classifier on Test-Time Budgets
Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang and Venkatesh Saligrama - Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space
Kawin Ethayarajh - RUN through the Streets: Dataset and Models for Realistic Urban Navigation
Tzuf Paz-Argaman and Reut Tsarfaty - Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
Jia Li, Chongyang Tao, wei wu, Yansong Feng, Dongyan Zhao and Rui Yan - SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy, Kyle Lo and Arman Cohan - Self-Attention with Structural Position Representations
Xing Wang, Zhaopeng Tu, Longyue Wang and Shuming Shi - Semantic Relatedness based Re-ranker for Text Spotting
Ahmed Sabir, Francesc Moreno and Lluís Padró - Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling
Bo-Hsiang Tseng, Marek Rei, Paweł Budzianowski, Richard Turner, Bill Byrne and Anna Korhonen - Simple and Effective Noisy Channel Modeling for Neural Machine Translation
Kyra Yee, Yann Dauphin and Michael Auli - Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
Baigong Zheng, Renjie Zheng, Mingbo Ma and Liang Huang - Single Training Dimension Selection for Word Embedding with PCA
Yu Wang - Small and Practical BERT models for Sequence Labeling
Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li and Amelia Archer - SoftRegex: Generating Regex from Natural Language Description using Softened Regex Equivalence
Jun-U Park, Sang-Ki Ko, Marco Cognetta and Yo-Sub Han - Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis and Luke Zettlemoyer - Speculative Beam Search for Simultaneous Translation
Renjie Zheng, Mingbo Ma, Baigong Zheng and Liang Huang - Spelling-Aware Construction of Mixed-Language Texts for Teaching Foreign-Language Vocabulary
Adithya Renduchintala, Philipp Koehn and Jason Eisner - Split or Merge: Which is Better for Unsupervised RST Parsing?
Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura and Masaaki Nagata - STANCY: Stance Classification Based on Consistency Cues
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates and Gerhard Weikum - SUM-QE: a BERT-based Summary Quality Estimation Model
Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki and Ion Androutsopoulos - Synchronously Generating Two Languages with Interactive Decoding
Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu and Chengqing Zong - TalkDown: A Corpus for Condescension Detection in Context
Zijian Wang and Christopher Potts - Telling the Whole Story: A Manually Annotated Chinese Dataset for the Analysis of Humor in Jokes
Dongyu Zhang, Heting Zhang, Xikai Liu, Hongfei LIN and Feng Xia - Text Genre and Training Data Size in Human-Like Parsing
John Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer and Jonathan Brennan - Text Level Graph Neural Network for Text Classification
Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang and Houfeng WANG - The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval
Constantine Lignos, Daniel Cohen, Yen-Chieh Lien, Pratik Mehta, W. Bruce Croft and Scott Miller - The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization
Simeng Sun and Ani Nenkova - The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan and Nanyun Peng - Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang and Zhaopeng Tu - Towards Debiasing Fact Verification Models
Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, Daniel Roberto Filizzola Ortiz, Enrico Santus and Regina Barzilay - Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines
Mahmoud Azab, Stephane Dadian, Vivi Nastase, Larry An and Rada Mihalcea - Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature
Bonan Min, Yee Seng Chan, Haoling Qiu and Joshua Fasching - Towards Making a Dependency Parser See
Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez - Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
Katharina Kann, Kyunghyun Cho and Samuel R. Bowman - Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis
Hiroki Ouchi, Jun Suzuki and Kentaro Inui - Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization
Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu and Tiejun Zhao - uniblock: Scoring and Filtering Corpus with Unicode Block Information
Yingbo Gao, Weiyue Wang and Hermann Ney - Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos and Graham Neubig - Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders
Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer and Andrew McCallum - Using Clinical Notes with Multimodal Learning for ICU Management.
Swaraj Khadanga, Karan Aggarwal, Shafiq Joty and Jaideep Srivastava - Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
Esma Balkir, Masha Naslidnyk, Dave Palfrey and Arpit Mittal - Visual Detection with Context for Document Layout Analysis
Carlos Soto and Shinjae Yoo - Weakly Supervised Attention Networks for Entity Extraction
Barun Patra and Joel Ruben Antony Moniz - What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition
Ting-Yun Chang and Yun-Nung Chen - What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Memory Cells
Ji Xin, Jimmy Lin and Yaoliang Yu - WIQA: A dataset for “What if…” reasoning over procedural text
Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark and Antoine Bosselut - Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers
Adam Fisch, Jiang Guo and Regina Barzilay - WSLLN: Weakly Supervised Natural Language Localization Networks
Mingfei Gao, Caiming Xiong, Richard Socher and Larry Davis - Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto and Pascale Fung - Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model
Tsung-Yuan Hsu, Chi-Liang Liu and Hung-yi Lee
Demo Papers
- A Stylometry Toolkit for Latin Literature
Thomas Bolt, Jeffrey Flynt, Pramit Chaudhuri and Joseph Dexter - A Summarization System for Scientific Documents
Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, and David Konopnicki - A System for Diacritizing Four Varieties of Arabic
Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, Mohamed Eldesouki, Younes Samih and Hassan Sajjad - ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou and Ido Dagan - AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Eric Wallace, Jens Tuyls, Junlin Wang, Matt Gardner and Sameer Singh - ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation
Qiongkai Xu, Chenchen Xu and Lizhen Qu - Applying BERT to Document Retrieval with Birch
Zeynep Akkalyoncu Yilmaz, Shengjin Wang, Wei Yang, Haotian Zhang and Jimmy Lin - Automatic Taxonomy Induction and Expansion
Nicolas Rodolfo Fauceglia, Alfio Gliozzo, Sarthak Dash, Md. Faisal Mahbub Chowdhury and Nandana Mihindukulasooriya - CFO: A Framework for Building Production NLP Systems
Rishav Chakravarti, Cezar Pendus, Andrzej Sakrajda, Anthony Ferritto, Lin Pan, Michael Glass, Vittorio Castelli, J William Murdock, Radu Florian, Salim Roukos and Avi Sil - Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech
Yuanfeng Song, Di Jiang, Weiwei Zhao, Qian Xu, Raymond Chi-Wing Wong and Qiang Yang - Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator
Liang-Hsin Shen, Pei-Lun Tai, Chao-Chung Wu and Shou-De Lin - EASSE: Easier Automatic Sentence Simplification Evaluation
Fernando Alva-Manchego, Louis Martin, Carolina Scarton and Lucia Specia - EGG: a toolkit for research on Emergence of lanGuage in Games
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt and Marco Baroni - Entity resolution for noisy ASR transcripts
Arushi Raghuvanshi, Vijay Ramakrishnan, Varsha Embar, Lucien Carroll and Karthik Raghunathan - EUSP: An Easy-to-Use Semantic Parsing PlatForm
Bo An, Chen Bo, Xianpei Han and Le Sun - 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 and Iryna Gurevych - Gunrock: A Social Bot for Complex and Engaging Long Conversations
Dian Yu, Michelle Cohn, Yi Mang Yang, Chun Yen Chen, Weiming Wen, Jiaping Zhang, Mingyang Zhou, Kevin Jesse, Austin Chau, Antara Bhowmick, Shreenath Iyer, Giritheja Sreenivasulu, Sam Davidson, Ashwin Bhandare and Zhou Yu - HARE: a Flexible Highlighting Annotator for Ranking and Exploration
Denis Newman-Griffis and Eric Fosler-Lussier - Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting
Jaejun Lee, Raphael Tang and Jimmy Lin - IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis
Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu and Ting Liu - INMT: Interactive Neural Machine Translation Prediction
Sebastin Santy, Sandipan Dandapat, Monojit Choudhury and Kalika Bali - Joey NMT: A Minimalist NMT Toolkit for Novices
Julia Kreutzer, Joost Bastings and Stefan Riezler - Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis
Twin Karmakharm, Kalina Bontcheva and Nikolaos Aletras - LIDA: Lightweight Interactive Dialogue Annotator
Edward Collins, Nikolai Rozanov and Bingbing Zhang - LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations
Max Eichler, Gözde Gül Şahin and Iryna Gurevych - MAssistant: A Personal Knowledge Assistant for MOOC Learners
Lan Jiang, Shuhan Hu, Mingyu Huang, Zhichun Wang, Jinjian Yang, Xiaoju Ye and Wei Zheng - MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation
Thomas Searle, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean and Richard Dobson - Memory Grounded Conversational Reasoning
Seungwhan Moon, Pararth Shah, Rajen Subba and Anuj Kumar - Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations
Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux and Pere-Pau Vázquez - MY-AKKHARA: A Romanization-based Burmese (Myanmar) Input Method
Chenchen Ding, Masao Utiyama and Eiichiro Sumita - NeuronBlocks: Building Your NLP DNN Models Like Playing Lego
Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng and Daxin Jiang - OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu and Maosong Sun - ParaQG: A System for Generating Questions and Answers from Paragraphs
vishwajeet kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan and Yuan-Fang Li - PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking
Matthew Henderson, Ivan Vulić, Iñigo Casanueva, Paweł Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić and Pei-Hao Su - PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules
Youngsoo Jang, Jongmin Lee, Jaeyoung Park, Kyeng-Hun Lee, Pierre Lison and Kee-Eung Kim - Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing
Michael Stewart, Wei Liu and Rachel Cardell-Oliver - SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval
Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto and Goran Glavaš - Tanbih: Get To Know What You Are Reading
Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass and Preslav Nakov - TEASPN: Framework and Protocol for Integrated Writing Assistance Environments
Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki and Kentaro Inui - TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners
Yi-Huei Lai and Jason Chang - 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 and Xiaoyong Du - Visualizing Trend of Key Roles in News Articles
Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu and Kai-Wei Chang - VizSeq: a visual analysis toolkit for text generation tasks
Changhan Wang, Anirudh Jain, Danlu Chen and Jiatao Gu - What’s Wrong with Hebrew NLP? And How to Make it Right
Reut Tsarfaty, Shoval Sadde, Stav Klein and Amit Seker