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Sunday, 3 November 2019

Morning Tutorials
09:00 – 12:30

[T1] Dive into Deep Learning for Natural Language Processing. Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha and Alexander Smola. AWE 201B–C

[T2] Processing and Understanding Mixed Language Data. Monojit Choudhury and Kalika Bali. Marriott Ballroom B–C

Lunch
12:30 – 14:00

Afternoon Tutorials
14:00 – 17:30

[T1] Dive into Deep Learning for Natural Language Processing (cont.). Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha and Alexander Smola. AWE 201B–C

[T3] Data Collection and End-to-End Learning for Conversational AI. Tsung-Hsien Wen, Pei-Hao Su, Paweł Budzianowski, Iñigo Casanueva and Ivan Vulić. Marriott Ballroom B–C

Workshops & Co-located Events
07:30 – 18:30 (exact workshop times vary)

[W1] CoNLL 2019: The Conference on Computational Natural Language Learning (Day 1). 08:45 – 18:30 AWE Hall 2B – Part. 1

[W2] FEVER: The second workshop on Fact Extraction and VERification. 09:00 – 17:30 AWE 202

[W3] DiscoMT19: Discourse in Machine Translation 2019 (half day). 09:00 – 12:30 AWE 201A

[W4] LANTERN: Beyond Vision and Language: Integrating Knowledge from the Real World (half day). 14:00 – 18:00 AWE 201A

[W5] MSR 2019: The second Workshop on Multilingual Surface Realization. 08:45 – 18:00 Marriott Room 4

[W6] LOUHI 2019: The Tenth International Workshop on Health Text Mining and Information Analysis. 09:00 – 17:25 Marriott Room 2

[W7] DeepLo 2019: Deep Learning for Low-Resource Natural Language Processing. 07:30 – 17:40 AWE 203–205

[W8] COIN: COmmonsense INference in NLP. 09:00 – 17:30 Marriott Ballroom A

[W9] AnnoNLP: Aggregating and analysing crowdsourced annotations for NLP. 09:00 – 17:20 Marriott Room 3

Monday, 4 November 2019

Morning Tutorials
09:00 – 12:30

[T4] Bias and Fairness in Natural Language Processing. Kai-Wei Chang, Vinod Prabhakaran and Vicente Ordonez. Marriott Ballroom B–C

[T5] Discreteness in Neural Natural Language Processing. Lili Mou, Hao Zhou and Lei Li. AWE Hall 2B – Part. 2

Lunch
12:30 – 14:00

Afternoon Tutorials
14:00 – 17:30

[T6] Graph-based Deep Learning in Natural Language Processing. Shikhar Vashishth, Naganand Yadati and Partha Talukdar. AWE Hall 2B – Part. 2

[T7] Semantic Specialization of Distributional Word Vectors. Goran Glavaś, Edoardo Maria Ponti and Ivan Vulić. Marriott Ballroom B–C

Workshops & Co-located Events
07:30 – 18:00 (exact workshop times vary)

[W1] CoNLL 2019: The Conference on Computational Natural Language Learning (Day 2). 08:45 – 18:00 AWE Hall 2B

[W10] MRQA: The 2nd Workshop on Machine Reading for Question Answering. 09:00 – 17:30 AWE 201B–C

[W11] BioNLP-OST 2019: International Workshop on BioNLP Open Shared Tasks 2019. 09:00 – 17:40 Marriott Room 2

[W12] WNGT: The 3rd Workshop on Neural Generation and Translation. 09:00 – 17:00 AWE 201A (morning), Marriott Ballroom A (afternoon)

[W13] W-NUT 2019: The 5th Workshop on Noisy User-generated Text. 09:00 – 18:00 Marriott Ballroom A (morning), AWE 201A (afternoon)

[W14] NewSum: The Workshop on New Frontiers in Summarization. 07:30 – 17:40 Marriott Room 1

[W15] TextGraphs-19: Graph-based Methods for Natural Language Processing. 09:00 – 17:30 AWE 203–205

[W16] WAT2019: The 6th Workshop on Asian Translation. 09:00 – 17:35 AWE 202

[W17] ECONLP 2019: The 2nd Workshop on Economics and Natural Language Processing. 09:00 – 18:00 Marriott Room 3

[W18] NLP4IF: NLP for Freedom: Censorship, Disinformation, and Propaganda. 09:00 – 17:00 Marriott Room 4

Welcome Reception
18:00 – 20:00
AWE Hall 2 + East Concourse

Catch up with your colleagues at the Welcome Reception in the conference venue, AsiaWorld Expo.

Tuesday, 5 November 2019

Opening Remarks
08:45 – 09:00
AWE Hall 2C

Keynote I: "Project Debater - how persuasive can a computer be?"
Noam Slonim (IBM Haifa Research Lab)
09:00 – 10:00
AWE Hall 2C

Project Debater is the first AI system that can meaningfully debate a human opponent. The system, an IBM Grand Challenge, is designed to build coherent, convincing speeches on its own, as well as provide rebuttals to the opponent’s main arguments. In February 2019, Project Debater competed against Harish Natarajan, who holds the world record for most debate victories, in an event held in San Francisco that was broadcasted live world-wide. In this talk I will tell the story of Project Debater, from conception to a climatic final event, describe its underlying technology, and discuss how it can be leveraged for advancing decision making and critical thinking.

Coffee Break
10:00 – 10:30

(Session 1)

1A: Machine Learning I
10:30 – 12:00
AWE Hall 2C

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Chair: Lei Li
10:30–10:48	Attending to Future Tokens for Bidirectional Sequence Generation. Carolin Lawrence, Bhushan Kotnis and Mathias Niepert
10:48–11:06	Attention is not not Explanation. Sarah Wiegreffe and Yuval Pinter
11:06–11:24	Practical Obstacles to Deploying Active Learning. David Lowell, Zachary C. Lipton and Byron C. Wallace
11:24–11:42	Transfer Learning Between Related Tasks Using Expected Label Proportions. Matan Ben Noach and Yoav Goldberg
11:42–12:00	Insertion-based Decoding with automatically Inferred Generation Order. Jiatao Gu, Qi Liu and Kyunghyun Cho

1B: Lexical Semantics I
10:30 – 12:00
AWE 201A–C

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Chair: Qin Lu
10:30–10:48	Knowledge Enhanced Contextual Word Representations. Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh and Noah A. Smith
10:48–11:06	How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. Kawin Ethayarajh
11:06–11:24	Marriott Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings. Philippa Shoemark, Farhana Ferdousi Liza, Dong Nguyen, Scott Hale and Barbara McGillivray
11:24–11:42	Correlations between Word Vector Sets. Vitalii Zhelezniak, April Shen, Daniel Busbridge, Aleksandar Savkov and Nils Hammerla
11:42–12:00	Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation. Rocco Tripodi and Roberto Navigli

1C: Dialog & Interactive Systems I
10:30 – 12:00
AWE 203–205

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Chair: Yun-Nung (Vivian) Chen
10:30–10:48	Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. Ryuichi Takanobu, Hanlin Zhu and Minlie Huang
10:48–11:06	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
11:06–11:24	MoEL: Mixture of Empathetic Listeners. Zhaojiang Lin, Andrea Madotto, Jamin Shin, Peng Xu and Pascale Fung
11:24–11:42	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
11:42–12:00	Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation. Mingyang Zhou, Josh Arnold and Zhou Yu

1D: Sentiment Analysis & Argument Mining I
10:30 – 12:00
AWE Hall 2B

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Chair: Minlie Huang
10:30–10:48	DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya and Alexander Gelbukh
10:48–11:06	Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations. Peixiang Zhong, Di Wang and Chunyan Miao
11:06–11:24	Interpretable Relevant Emotion Ranking with Event-Driven Attention. Yang Yang, Deyu ZHOU, Yulan He and Meng Zhang
11:24–11:42	Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. Jianmo Ni, Jiacheng Li and Julian McAuley
11:42–12:00	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

1 Poster & Demo: Information Extraction, Information Retrieval & Document Analysis, Linguistic Theories
10:30 – 12:00
AWE Hall 2A

Leveraging Dependency Forest for Neural Medical Relation Extraction. Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang and jinsong su

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin and Maosong Sun

Improving Relation Extraction with Knowledge-attention. Pengfei Li, Kezhi Mao, Xuefeng Yang and Qi Li

Jointly Learning Entity and Relation Representations for Entity Alignment. Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang and Dongyan Zhao

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing and Wai Lam

Low-Resource Name Tagging Learned with Weakly Labeled Data. Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu and Heng Ji

Learning Dynamic Context Augmentation for Global Entity Linking. Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu and Xiang Ren

Open Event Extraction from Online Text using a Generative Adversarial Network. Rui Wang, Deyu ZHOU and Yulan He

Learning to Bootstrap for Entity Set Expansion. Lingyong Yan, Xianpei Han, Le Sun and Ben He

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

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

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework. Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo and Jie Xu

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction. Shun Zheng, Wei Cao, Wei Xu and Jiang Bian

Event Detection with Trigger-Aware Lattice Neural Network. Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng and Zibo Lin

A Boundary-aware Neural Model for Nested Named Entity Recognition. Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung and Guandong Xu

Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning. Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu and Jun Zhao

CaRe: Open Knowledge Graph Embeddings. Swapnil Gupta, Sreyash Kenkre and Partha Talukdar

Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction. Yuyun Huang and Jinhua Du

Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping. Jian Ni and Radu Florian

Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction. xiang deng and Huan Sun

EntEval: A Holistic Evaluation Benchmark for Entity Representations. Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos and Kevin Gimpel

Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction. Rujun Han, Qiang Ning and Nanyun Peng

Hierarchical Text Classification with Reinforced Label Assignment. Yuning Mao, Jingjing Tian, Jiawei Han and Xiang Ren

Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification. Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang and Bing Ma

Label-Specific Document Representation for Multi-Label Text Classification. Lin Xiao, Xin Huang, Boli Chen and Liping Jing

Hierarchical Attention Prototypical Networks for Few-Shot Text Classification. Shengli Sun, Qingfeng Sun, Kevin Zhou and Tengchao Lv

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. Vivian Lai, Zheng Cai and Chenhao Tan

Enhancing Local Feature Extraction with Global Representation for Neural Text Classification. Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu and Sheng GAO

Latent-Variable Generative Models for Data-Efficient Text Classification. Xiaoan Ding and Kevin Gimpel

PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu and JinJun Xiong

Linking artificial and human neural representations of language. Jon Gauthier and Roger Levy

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

TellMeWhy: Learning to Explain Corrective Feedback for Second Language Learners. Yi-Huei Lai and Jason Chang

Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting. Jaejun Lee, Raphael Tang, and Jimmy Lin

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

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, and Maosong Sun

Automatic Taxonomy Induction and Expansion. Nicolas Rodolfo Fauceglia, Alfio Gliozzo, Sarthak Dash, Md. Faisal Mahbub Chowdhury, and Nandana Mihindukulasooriya

Applying BERT to Document Retrieval with Birch. Zeynep Akkalyoncu Yilmaz, Shengjin Wang, Wei Yang, Haotian Zhang, and Jimmy Lin

Lunch
12:00 – 13:30

(Session 2)

2A: Summarization & Generation
13:30 – 15:00
AWE Hall 2C

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Chair: Nanyun (Violet) Peng
13:30–13:48	Neural Text Summarization: A Critical Evaluation. Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong and Richard Socher
13:48–14:06	Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg and Emiel Krahmer
14:06–14:24	MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer and Steffen Eger
14:24–14:42	Select and Attend: Towards Controllable Content Selection in Text Generation. Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow and Satoshi Sekine
14:42–15:00	Sentence-Level Content Planning and Style Specification for Neural Text Generation. Xinyu Hua and Lu Wang

2B: Sentence-level Semantics I
13:30 – 15:00
AWE 201A–C

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Chair: Luke Zettlemoyer
13:30–13:48	Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling. Angel Daza and Anette Frank
13:48–14:06	Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. Yue Zhang, Rui Wang and Luo Si
14:06–14:24	VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling. Andrea Di Fabio, Simone Conia and Roberto Navigli
14:24–14:42	Parameter-free Sentence Embedding via Orthogonal Basis. Ziyi Yang, Chenguang Zhu and Weizhu Chen
14:42–15:00	Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. Mingda Chen, Zewei Chu and Kevin Gimpel

2C: Speech, Vision, Robotics, Multimodal & Grounding I
13:30 – 15:00
AWE 203–205

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Chair: Mohit Bansal
13:30–13:48	Extracting Possessions from Social Media: Images Complement Language. Dhivya Chinnappa, Srikala Murugan and Eduardo Blanco
13:48–14:06	Learning to Speak and Act in a Fantasy Text Adventure Game. Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau, Emily Dinan, Tim Rocktäschel, Douwe Kiela, Arthur Szlam and Jason Weston
14:06–14:24	Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning. Khanh Nguyen and Hal Daumé III
14:24–14:42	Incorporating Visual Semantics into Sentence Representations within a Grounded Space. Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski and patrick Gallinari
14:42–15:00	Neural Naturalist: Generating Fine-Grained Image Comparisons. Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma and Serge Belongie

2D: Information Extraction I
13:30 – 15:00
AWE Hall 2B

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Chair: Xiang Ren
13:30–13:48	Fine-Grained Evaluation for Entity Linking. Henry Rosales-Méndez, Aidan Hogan and Barbara Poblete
13:48–14:06	Supervising Unsupervised Open Information Extraction Models. Arpita Roy, Youngja Park, Taesung Lee and Shimei Pan
14:06–14:24	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
14:24–14:42	KnowledgeNet: A Benchmark Dataset for Knowledge Base Population. Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza and Denilson Barbosa
14:42–15:00	Effective Use of Transformer Networks for Entity Tracking. Aditya Gupta and Greg Durrett

2 Poster & Demo: Machine Translation & Mulitilinguality, Phonology, Morphology & Word Segmentation, Tagging, Chunking, Syntax & Parsing
13:30 – 15:00
AWE Hall 2A

Explicit Cross-lingual Pre-training for Unsupervised Machine Translation. Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou and Shuai Ma

Latent Part-of-Speech Sequences for Neural Machine Translation. Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang and Niranjan Balasubramanian

Improving Back-Translation with Uncertainty-based Confidence Estimation. Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan and Maosong Sun

Towards Linear Time Neural Machine Translation with Capsule Networks. Mingxuan Wang

Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment. Xiaofei Shi and Yanghua Xiao

Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages. Masud Moshtaghi

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. Shijie Wu and Mark Dredze

Iterative Dual Domain Adaptation for Neural Machine Translation. Jiali Zeng, Yang Liu, jinsong su, yubing Ge, Yaojie Lu, Yongjing Yin and jiebo luo

Multi-agent Learning for Neural Machine Translation. tianchi bi, hao xiong, Zhongjun He, Hua Wu and Haifeng Wang

Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages. Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi and Hermann Ney

Context-Aware Monolingual Repair for Neural Machine Translation. Elena Voita, Rico Sennrich and Ivan Titov

Multi-Granularity Self-Attention for Neural Machine Translation. Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang and Zhaopeng Tu

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention. Biao Zhang, Ivan Titov and Rico Sennrich

A Discriminative Neural Model for Cross-Lingual Word Alignment. Elias Stengel-Eskin, Tzu-ray Su, Matt Post and Benjamin Van Durme

One Model to Learn Both: Zero Pronoun Prediction and Translation. Longyue Wang, Zhaopeng Tu, Xing Wang and Shuming Shi

Dynamic Past and Future for Neural Machine Translation. Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, XIN-YU DAI and Jiajun CHEN

Revisit Automatic Error Detection for Wrong and Missing Translation -- A Supervised Approach. Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang and Tat Seng Chua

Towards Understanding Neural Machine Translation with Word Importance. Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu and Shuming Shi

Multilingual Neural Machine Translation with Language Clustering. Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao QIN and Tie-Yan Liu

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

Pushing the Limits of Low-Resource Morphological Inflection. Antonios Anastasopoulos and Graham Neubig

Morphological Analysis Using a Sequence Decoder. Ekin Akyürek, Erenay Dayanık and Deniz Yuret

Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank. Meishan Zhang, Yue Zhang and Guohong Fu

Hierarchical Pointer Net Parsing. Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han and Lidong Bing

Semi-Supervised Semantic Role Labeling with Cross-View Training. Rui Cai and Mirella Lapata

Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations. Zuyi Bao, Rui Huang, Chen Li and Kenny Zhu

A Lexicon-Based Graph Neural Network for Chinese NER. Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei and Xuanjing Huang

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen and Jinan Xu

Tree Transformer: Integrating Tree Structures into Self-Attention. Yaushian Wang, Hung-Yi Lee and Yun-Nung Chen

Semantic Role Labeling with Iterative Structure Refinement. Chunchuan Lyu, Shay B. Cohen and Ivan Titov

Entity Projection via Machine Translation for Cross-Lingual NER. Alankar Jain, Bhargavi Paranjape and Zachary C. Lipton

A Bayesian Approach for Sequence Tagging with Crowds. Edwin D. Simpson and Iryna Gurevych

A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages. Clara Vania, Yova Kementchedjhieva, Anders Søgaard and Adam Lopez

Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing. Tao Meng, Nanyun Peng and Kai-Wei Chang

Look-up and Adapt: A One-shot Semantic Parser. Zhichu Lu, Forough Arabshahi, Igor Labutov and Tom Mitchell

Similarity Based Auxiliary Classifier for Named Entity Recognition. Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang and Zhang Xiong

Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal. Benoit Crabbé, Murielle Fabre and Christophe Pallier

MY-AKKHARA: A Romanization-based Burmese (Myanmar) Input Method. Chenchen Ding, Masao Utiyama, and Eiichiro Sumita

LINSPECTOR WEB: A Multilingual Probing Suite for Word Representations. Max Eichler, Gözde Gül ¸ Sahin, and Iryna Gurevych

Joey NMT: A Minimalist NMT Toolkit for Novices. Julia Kreutzer, Joost Bastings, and Stefan Riezler

Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations. Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, and Pere-Pau Vázquez

A System for Diacritizing Four Varieties of Arabic. Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, Mohamed Eldesouki, Younes Samih, and Hassan Sajjad

What's Wrong with Hebrew NLP? And How to Make it Right. Reut Tsarfaty, Shoval Sadde, Stav Klein, and Amit Seker

INMT: Interactive Neural Machine Translation Prediction. Sebastin Santy, Sandipan Dandapat, Monojit Choudhury, and Kalika Bali

Coffee Break
15:00 – 15:30

(Session 3)

3A: Machine Learning II
15:30 – 16:18
AWE Hall 2C

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Chair: Hang Li
15:30–15:42	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
15:42–15:54	Robust Text Classifier on Test-Time Budgets. Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang and Venkatesh Saligrama
15:54–16:06	Commonsense Knowledge Mining from Pretrained Models. Joe Davison, Joshua Feldman and Alexander Rush
16:06–16:18	RNN Architecture Learning with Sparse Regularization. Jesse Dodge, Roy Schwartz, Hao Peng and Noah A. Smith

3B: Semantics
15:30 – 16:18
AWE 201A–C

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Chair: Kristina Toutanova
15:30–15:42	Analytical Methods for Interpretable Ultradense Word Embeddings. Philipp Dufter and Hinrich Schütze
15:42–15:54	Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks. Zi-Yi Dou, Keyi Yu and Antonios Anastasopoulos
15:54–16:06	Retrofitting Contextualized Word Embeddings with Paraphrases. Weijia Shi, Muhao Chen, Pei Zhou and Kai-Wei Chang
16:06–16:18	Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang and Jimmy Lin

3C: Discourse, Summarization, & Generation
15:30 – 16:18
AWE 203–205

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Chair: Mohit Iyyer
15:30–15:42	Neural Linguistic Steganography. Zachary Ziegler, Yuntian Deng and Alexander Rush
15:42–15:54	The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization. Simeng Sun and Ani Nenkova
15:54–16:06	Attention Optimization for Abstractive Document Summarization. Min Gui, Junfeng Tian, Rui Wang and Zhenglu Yang
16:06–16:18	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

3D: Text Mining & NLP Applications I
15:30 – 16:18
AWE Hall 2B

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Chair: Liang-Chih Yu
15:30–15:42	An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto and Kentaro Inui
15:42–15:54	A Multilingual Topic Model for Learning Weighted Topic Links Across Corpora with Low Comparability. Weiwei Yang, Jordan Boyd-Graber and Philip Resnik
15:54–16:06	Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study. Bonan Min and Xiaoxi Zhao
16:06–16:18	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

3 Poster & Demo: Dialog & Interactive Systems, Machine Translation & Multilinuality, Phonology, Morphology, & Word Segmentation, Speech, Vision, Robotics, Multimodal & Grounding, Tagging, Chunking, Syntax & Parsing
15:30 – 16:18
AWE Hall 2A

Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue. Chenguang Zhu, Michael Zeng and Xuedong Huang

Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation. Min Zeng, Yisen Wang and Yuan Luo

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

A Progressive Model to Enable Continual Learning for Semantic Slot Filling. Yilin Shen, Xiangyu Zeng and Hongxia Jin

CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots. Arshit Gupta, Peng Zhang, Garima Lalwani and Mona Diab

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

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

Modeling Multi-Action Policy for Task-Oriented Dialogues. Lei Shu, Hu Xu, Bing Liu and Piero Molino

An Evaluation Dataset 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

Automatically Learning Data Augmentation Policies for Dialogue Tasks. Tong Niu and Mohit Bansal

uniblock: Scoring and Filtering Corpus with Unicode Block Information. Yingbo Gao, Weiyue Wang and Hermann Ney

Multilingual word translation using auxiliary languages. Hagai Taitelbaum, Gal Chechik and Jacob Goldberger

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang and Zhaopeng Tu

Vecalign: Improved Sentence Alignment in Linear Time and Space. Brian Thompson and Philipp Koehn

Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation. Baigong Zheng, Renjie Zheng, Mingbo Ma and Liang Huang

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. Phillip Keung, yichao lu and Vikas Bhardwaj

Recurrent Positional Embedding for Neural Machine Translation. Kehai Chen, Rui Wang, Masao Utiyama and Eiichiro Sumita

Machine Translation for Machines: the Sentiment Classification Use Case. amirhossein tebbifakhr, Luisa Bentivogli, Matteo Negri and Marco Turchi

Investigating the Effectiveness of BPE: The Power of Shorter Sequences. Matthias Gallé

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

Speculative Beam Search for Simultaneous Translation. Renjie Zheng, Mingbo Ma, Baigong Zheng and Liang Huang

Self-Attention with Structural Position Representations. Xing Wang, Zhaopeng Tu, Longyue Wang and Shuming Shi

Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation. Raj Dabre, Atsushi Fujita and Chenhui Chu

Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos and Graham Neubig

A Regularization-based Framework for Bilingual Grammar Induction. Yong Jiang, Wenjuan Han and Kewei Tu

Encoders Help You Disambiguate Word Senses in Neural Machine Translation. Gongbo Tang, Rico Sennrich and Joakim Nivre

Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model. Hyun-Je Song and Seong-Bae Park

Efficient Convolutional Neural Networks for Diacritic Restoration. Sawsan Alqahtani, Ajay Mishra and Mona Diab

Improving Generative Visual Dialog by Answering Diverse Questions. Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh and Abhishek Das

Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding. Quynh Do and Judith Gaspers

Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. Po-Yao Huang, Xiaojun Chang and Alexander Hauptmann

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

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner and Jianfeng Gao

WSLLN:Weakly Supervised Natural Language Localization Networks. Mingfei Gao, Larry Davis, Richard Socher and Caiming Xiong

Grounding learning of modifier dynamics: An application to color naming. Xudong Han, Philip Schulz and Trevor Cohn

Robust Navigation with Language Pretraining and Stochastic Sampling. Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith and Yejin Choi

Towards Making a Dependency Parser See. Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez

Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders. Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer and Andrew McCallum

Dependency Parsing for Spoken Dialog Systems. Sam Davidson, Dian Yu and Zhou Yu

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog. Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis and Luke Zettlemoyer

Mini-Break
16:18 – 16:30

(Session 4)

4A: Neural Machine Translation
16:30 – 18:00
AWE Hall 2C

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Chair: Zhaopeng Tu
16:30–16:48	Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng and Jie Zhou
16:48–17:06	Simple, Scalable Adaptation for Neural Machine Translation. Ankur Bapna and Orhan Firat
17:06–17:24	Controlling Text Complexity in Neural Machine Translation. Sweta Agrawal and Marine Carpuat
17:24–17:42	Investigating Multilingual NMT Representations at Scale. Sneha Kudugunta, Ankur Bapna, Isaac Caswell and Orhan Firat
17:42–18:00	Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation. Xin Tan, Longyin Zhang, Deyi Xiong and Guodong Zhou

4B: Question Answering I
16:30 – 18:00
AWE 201A–C

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Chair: Yansong Feng
16:30–16:48	Cross-Lingual Machine Reading Comprehension. Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang and Guoping Hu
16:48–17:06	A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning. Minghao Hu, Yuxing Peng, Zhen Huang and Dongsheng Li
17:06–17:24	Neural Duplicate Question Detection without Labeled Training Data. Andreas Rücklé, Nafise Sadat Moosavi and Iryna Gurevych
17:24–17:42	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
17:42–18:00	Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection. Nina Poerner and Hinrich Schütze

4C: Social Media & Computational Social Science
16:30 – 18:00
AWE 203–205

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Chair: Yulia Tsvetkov
16:30–16:48	Multi-label Categorization of Accounts of Sexism using a Neural Framework. Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta and Vasudeva Varma
16:48–17:06	The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets. Charuta Pethe and Steve Skiena
17:06–17:24	Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts. Luke Breitfeller, Emily Ahn, David Jurgens and Yulia Tsvetkov
17:24–17:42	Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews. Miao Fan, Chao Feng, Mingming Sun and Ping Li
17:42–18:00	Learning Invariant Representations of Social Media Users. Nicholas Andrews and Marcus Bishop

4D: Text Mining & NLP Applications II
16:30 – 18:00
AWE Hall 2B

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Chair: Min Zhang
16:30–16:48	(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas. Dongyeop Kang, Varun Gangal and Eduard Hovy
16:48–17:06	Movie Plot Analysis via Turning Point Identification. Pinelopi Papalampidi, Frank Keller and Mirella Lapata
17:06–17:24	Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention. Lei Cao, Huijun Zhang, Ling Feng, Zihan Wei, Xin Wang, Ningyun Li and Xiaohao He
17:24–17:42	Deep Ordinal Regression for Pledge Specificity Prediction. Shivashankar Subramanian, Trevor Cohn and Timothy Baldwin
17:42–18:00	Enabling Robust Grammatical Error Correction in New Domains: Datasets, Metrics, and Analyses. Courtney Napoles, Maria Nadejde and Joel Tetreault

4 Poster & Demo: Dialog & Interactive Systems, Speech, Vision, Robotics, Multimodal & Grounding
16:30 – 18:00
AWE Hall 2A

Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks. Igor Shalyminov, Sungjin Lee, Arash Eshghi and Oliver Lemon

Multi-Granularity Representations of Dialog. Shikib Mehri and Maxine Eskenazi

Are You for Real? Detecting Identity Fraud via Dialogue Interactions. Weikang Wang, Jiajun Zhang, Qian Li, Chengqing Zong and Zhifei Li

Hierarchy Response Learning for Neural Conversation Generation. Bo Zhang and Xiaoming Zhang

Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs. zhibin liu, Zheng-Yu Niu, Hua Wu and Haifeng Wang

Adaptive Parameterization for Neural Dialogue Generation. Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao and Dawei Yin

Towards Knowledge-Based Recommender Dialog System. Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang and Jie Tang

Structuring Latent Spaces for Stylized Response Generation. Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan

Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration. Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou and Xiaojiang Liu

Unsupervised Context Rewriting for Open Domain Conversation. Kun Zhou, Kai Zhang, Yu Wu, Shujie Liu and Jingsong Yu

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

Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework. Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu and Shuming Shi

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation. Liliang Ren, Jianmo Ni and Julian McAuley

Low-Resource Response Generation with Template Prior. Ze Yang, wei wu, Jian Yang, Can Xu and zhoujun li

A Discrete CVAE for Response Generation on Short-Text Conversation. Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou and Shuming Shi

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

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

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

Variational Hierarchical User-based Conversation Model. JinYeong Bak and Alice Oh

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul Crook, Y-Lan Boureau and Jason Weston

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

A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection. Harshit Kumar, Arvind Agarwal and Sachindra Joshi

How to Build User Simulators to Train RL-based Dialog Systems. Weiyan Shi, Kun Qian, Xuewei Wang and Zhou Yu

Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems. Suman Banerjee and Mitesh M. Khapra

Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning. Tao Jin, Siyu Huang, Yingming Li and Zhongfei Zhang

Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach. Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh and In So Kweon

Dual Attention Networks for Visual Reference Resolution in Visual Dialog. Gi-Cheon Kang, Jaeseo Lim and Byoung-Tak Zhang

Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents. Jack Hessel, Lillian Lee and David Mimno

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

Partners in Crime: Multi-view Sequential Inference for Movie Understanding. Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata and Shay B. Cohen

Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag. Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang and Chunhong Pan

A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding. Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen and Ting Liu

Talk2Car: Taking Control of Your Self-Driving Car. Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool and Marie-Francine Moens

Fact-Checking Meets Fauxtography: Verifying Claims About Images. Dimitrina Zlatkova, Preslav Nakov and Ivan Koychev

Video Dialog via Progressive Inference and Cross-Transformer. Weike Jin, Zhou Zhao, Mao Gu, Jun Xiao, Furu Wei and Yueting Zhuang

Executing Instructions in Situated Collaborative Interactions. Alane Suhr, Claudia Yan, Jack Schluger, Stanley Yu, Hadi Khader, Marwa Mouallem, Iris Zhang and Yoav Artzi

Fusion of Detected Objects in Text for Visual Question Answering. Chris Alberti, Jeffrey Ling, Michael Collins and David Reitter

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

EGG: a toolkit for research on Emergence of lanGuage in Games. Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, and Marco Baroni

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

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

PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking. Matthew Henderson, Ivan Vuli´c, Iñigo Casanueva, Paweł Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkši´c, and Pei-Hao Su

LIDA: Lightweight Interactive Dialogue Annotator. Edward Collins, Nikolai Rozanov, and Bingbing Zhang

Entity resolution for noisy ASR transcripts. Arushi Raghuvanshi, Vijay Ramakrishnan, Varsha Embar, Lucien Carroll, and Karthik Raghunathan

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

Wednesday, 6 November 2019

Keynote II: "Current Challenges in Computational Social Science"
Meeyoung Cha (KAIST)
09:00 – 10:00
AWE Hall 2C

Artificial intelligence (AI) is reshaping business and science. Computational social science is an interdisciplinary field that solves complex societal problems by adopting AI-driven methods, processes, algorithms, and systems on data of various forms. This talk will review some of the latest advances in the research that focuses on fake news and legal liability. I will first discuss the structural, temporal, and linguistic traits of fake news propagation. One emerging challenge here is the increasing use of automated bots to generate and propagate false information. I will also discuss the current issues on the legal liability of AI and robots, particularly on how to regulate them (e.g., moral machine, punishment gap). This talk will suggest new opportunities to tackle these problems.

Coffee Break
10:00 – 10:30

(Session 5)

5A: Machine Learning III
10:30 – 12:00
AWE Hall 2C

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Chair: Kai-Wei Chang
10:30–10:48	Universal Adversarial Triggers for Attacking and Analyzing NLP. Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner and Sameer Singh
10:48–11:06	To Annotate or Not? Predicting Performance Drop under Domain Shift. Hady Elsahar and Matthias Gallé
11:06–11:24	Adaptively Sparse Transformers. Gonçalo M. Correia, Vlad Niculae and André F. T. Martins
11:24–11:42	Show Your Work: Improved Reporting of Experimental Results. Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz and Noah A. Smith
11:42–12:00	A Deep Factorization of Style and Structure in Fonts. Akshay Srivatsan, Jonathan Barron, Dan Klein and Taylor Berg-Kirkpatrick

5B: Lexical Semantics II
10:30 – 12:00
AWE 201A–C

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Chair: Jason Eisner
10:30–10:48	Cross-lingual Semantic Specialization via Lexical Relation Induction. Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart and Anna Korhonen
10:48–11:06	Modelling the interplay of metaphor and emotion through multitask learning. Verna Dankers, Marek Rei, Martha Lewis and Ekaterina Shutova
11:06–11:24	How well do NLI models capture verb veridicality?. Alexis Ross and Ellie Pavlick
11:24–11:42	Modeling Color Terminology Across Thousands of Languages. Arya D. McCarthy, Winston Wu, Aaron Mueller, William Watson and David Yarowsky
11:42–12:00	Negative Focus Detection via Contextual Attention Mechanism. Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu and AiTi Aw

5C: Discourse & Pragmatics
10:30 – 12:00
AWE 203–205

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Chair: Deyi Xiong
10:30–10:48	A Unified Neural Coherence Model. Han Cheol Moon, Tasnim Mohiuddin, Shafiq Joty and Chi Xu
10:48–11:06	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
11:06–11:24	Neural Generative Rhetorical Structure Parsing. Amandla Mabona, Laura Rimell, Stephen Clark and Andreas Vlachos
11:24–11:42	Weak Supervision for Learning Discourse Structure. Sonia Badene, Kate Thompson, Jean-Pierre Lorré and Nicholas Asher
11:42–12:00	Predicting Discourse Structure using Distant Supervision from Sentiment. Patrick Huber and Giuseppe Carenini

5D: Text Mining & NLP Applications III
10:30 – 12:00
AWE Hall 2B

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Chair: Tim Baldwin
10:30–10:48	The Myth of Double-Blind Review Revisited: ACL vs. EMNLP. Cornelia Caragea, Ana Uban and Liviu P. Dinu
10:48–11:06	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
11:06–11:24	Identifying Predictive Causal Factors from News Streams. Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger and Lakshminarayanan Subramanian
11:24–11:42	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
11:42–12:00	Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference. Ahmadreza Mosallanezhad, Ghazaleh Beigi and Huan Liu

5 Poster & Demo: Question Answering, Textual Inference & Other Areas of Semantics
10:30 – 12:00
AWE Hall 2A

Tree-structured Decoding for Solving Math Word Problems. Qianying Liu, Wenyv Guan, Sujian Li and Daisuke Kawahara

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. Haitian Sun, Tania Bedrax-Weiss and William Cohen

Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning. Lifu Huang, Ronan Le Bras, Chandra Bhagavatula and Yejin Choi

Finding Generalizable Evidence by Learning to Convince Q&A Models. Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela and Kyunghyun Cho

Ranking and Sampling in Open-Domain Question Answering. Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang and Dan Meng

A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs. Katsuhiko Hayashi and Masashi Shimbo

Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie and Jun Zhao

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. Tao Shen, Xiubo Geng, Tao QIN, Daya Guo, Duyu Tang, Nan Duan, Guodong Long and Daxin Jiang

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels. Yimin Jing, Deyi Xiong and Zhen Yan

Language Models as Knowledge Bases?. Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu and Alexander Miller

NumNet: Machine Reading Comprehension with Numerical Reasoning. Qiu Ran, Yankai Lin, Peng Li, Jie Zhou and Zhiyuan Liu

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

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

Incorporating External Knowledge into Machine Reading for Generative Question Answering. Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia and Chenliang Li

Answering questions by learning to rank - Learning to rank by answering questions. George Sebastian Pirtoaca, Traian Rebedea and Stefan Ruseti

Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension. Todor Mihaylov and Anette Frank

Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. Yixin Nie, Songhe Wang and Mohit Bansal

PubMedQA: A Dataset for Biomedical Research Question Answering. Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen and Xinghua Lu

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering. Vikas Yadav, Steven Bethard and Mihai Surdeanu

Answering Complex Open-domain Questions Through Iterative Query Generation. Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang and Christopher D. Manning

NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha and Sunghun Kim

Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering. Jiwei Ding, Wei Hu, Qixin Xu and Yuzhong Qu

Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning. Heng Wang, Shuangyin Li, Rong Pan and Mingzhi Mao

Learning to Update Knowledge Graphs by Reading News. Jizhi Tang, Yansong Feng and Dongyan Zhao

DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning. Ruiping Li and Xiang Cheng

Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching. Mingtong Liu, Yujie Zhang, Jinan Xu and Yufeng Chen

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion. Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song and Tao Zhang

Collaborative Policy Learning for Open Knowledge Graph Reasoning. Cong Fu, Tong Chen, Meng Qu, Woojeong Jin and Xiang Ren

Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder. Li Du, Xiao Ding, Ting Liu and Zhongyang Li

Asynchronous Deep Interaction Network for Natural Language Inference. Di Liang, Fubao Zhang, Qi Zhang and Xuanjing Huang

Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange. Steven Y. Feng, Aaron W. Li and Jesse Hoey

Query-focused Scenario Construction. Su Wang, Greg Durrett and Katrin Erk

Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li and Tat-Seng Chua

EUSP: An Easy-to-Use Semantic Parsing PlatForm. Bo An, Chen Bo, Xianpei Han, and Le Sun

ParaQG: A System for Generating Questions and Answers from Paragraphs. vishwajeet kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, and Yuan-Fang Li

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

ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, and Ido Dagan

Memory Grounded Conversational Reasoning. Seungwhan Moon, Pararth Shah, Rajen Subba, and Anuj Kumar

Lunch
12:00 – 13:30

(Session 6)

6A: Tagging, Chunking, Syntax & Parsing
13:30 – 15:00
AWE Hall 2C

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Chair: Weiwei Sun
13:30–13:48	Designing and Interpreting Probes with Control Tasks. John Hewitt and Percy Liang
13:48–14:06	Specializing Word Embeddings (for Parsing) by Information Bottleneck. Xiang Lisa Li and Jason Eisner
14:06–14:24	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
14:24–14:42	Semantic graph parsing with recurrent neural network DAG grammars. Federico Fancellu, Sorcha Gilroy, Adam Lopez and Mirella Lapata
14:42–15:00	75 Languages, 1 Model: Parsing Universal Dependencies Universally. Dan Kondratyuk and Milan Straka

6B: Question Answering II
13:30 – 15:00
AWE 201A–C

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Chair: Scott Wen-tau Yih
13:30–13:48	Interactive Language Learning by Question Answering. Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio and Adam Trischler
13:48–14:06	What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering. Tushar Khot, Ashish Sabharwal and Peter Clark
14:06–14:24	KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. Bill Yuchen Lin, Xinyue Chen, Jamin Chen and Xiang Ren
14:24–14:42	Learning with Limited Data for Multilingual Reading Comprehension. Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang and Juho Lee
14:42–15:00	A Discrete Hard EM Approach for Weakly Supervised Question Answering. Sewon Min, Danqi Chen, Hannaneh Hajishirzi and Luke Zettlemoyer

6C: Linguistic Theories, Cognitive Modeling & Psycholinguistics
13:30 – 15:00
AWE 203–205

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Chair: John Hale
13:30–13:48	Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts. Sandro Pezzelle and Raquel Fernández
13:48–14:06	Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic and Samuel R. Bowman
14:06–14:24	Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study. Aixiu AN, Peng Qian, Ethan Wilcox and Roger Levy
14:24–14:42	Towards Zero-shot Language Modeling. Edoardo Maria Ponti, Ivan Vulić, Ryan Cotterell, Roi Reichart and Anna Korhonen
14:42–15:00	Neural Network Acceptability Judgments. Alex Warstadt, Amanpreet Singh and Samuel R. Bowman

6D: Sentiment Analysis & Argument Mining II
13:30 – 15:00
AWE Hall 2B

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Chair: Yulan He
13:30–13:48	What Gets Echoed? Understanding the `Pointers` in Explanations of Persuasive Arguments. David Atkinson, Kumar Bhargav Srinivasan and Chenhao Tan
13:48–14:06	Modeling Frames in Argumentation. Yamen Ajjour, Milad Alshomary, Henning Wachsmuth and Benno Stein
14:06–14:24	AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown and Alyssa Hwang
14:24–14:42	Evaluating adversarial attacks against multiple fact verification systems. James Thorne, Andreas Vlachos, Christos Christodoulopoulos and Arpit Mittal
14:42–15:00	Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials. Wonsuk Yang, seungwon yoon, Ada Carpenter and Jong Park

6 Poster & Demo: Discourse & Pragmatics, Summarization & Generation
13:30 – 15:00
AWE Hall 2A

Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite. Prathyusha Jwalapuram, Shafiq Joty, Irina Temnikova and Preslav Nakov

A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing. Zeyu Dai and Ruihong Huang

Weakly Supervised Multilingual Causality Extraction from Wikipedia. Chikara Hashimoto

Attribute-aware Sequence Network for Review Summarization. Junjie Li, Xuepeng Wang, Dawei Yin and Chengqing Zong

Extractive Summarization of Long Documents by Combining Global and Local Context. Wen Xiao and Giuseppe Carenini

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

Reading Like HER: Human Reading Inspired Extractive Summarization. Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang and Qing He

Contrastive Attention Mechanism for Abstractive Sentence Summarization. Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo and Yue Zhang

NCLS: Neural Cross-Lingual Summarization. Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang and Chengqing Zong

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning. Peng Xu, Chien-Sheng Wu, Andrea Madotto and Pascale Fung

Concept Pointer Network for Abstractive Summarization. Wenbo Wang, Yang Gao, Heyan Huang and Yuxiang Zhou

Surface Realisation Using Full Delexicalisation. Anastasia Shimorina and Claire Gardent

IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews and Enrico Santus

Better Rewards Yield Better Summaries: Learning to Summarise Without References. Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan and Iryna Gurevych

Mixture Content Selection for Diverse Sequence Generation. Jaemin Cho, Minjoon Seo and Hannaneh Hajishirzi

An End-to-End Generative Architecture for Paraphrase Generation. Qian Yang, zhouyuan huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang and Lawrence Carin

Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). Heng Gong, Xiaocheng Feng, Bing Qin and Ting Liu

Subtopic-driven Multi-Document Summarization. Xin Zheng, Aixin Sun, Jing Li and Karthik Muthuswamy

Referring Expression Generation Using Entity Profiles. Meng Cao and Jackie Chi Kit Cheung

Exploring Diverse Expressions for Paraphrase Generation. Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang and Yong Yu

Enhancing AMR-to-Text Generation with Dual Graph Representations. Leonardo F. R. Ribeiro, Claire Gardent and Iryna Gurevych

Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning. Toru Nishino, Shotaro Misawa, Ryuji Kano, Tomoki Taniguchi, Yasuhide Miura and Tomoko Ohkuma

Toward a Task of Feedback Comment Generation for Writing Learning. Ryo Nagata

Improving Question Generation With to the Point Context. Jingjing Li, Yifan Gao, Lidong Bing, Irwin King and Michael R. Lyu

Deep Copycat Networks for Text-to-Text Generation. Julia Ive, Pranava Madhyastha and Lucia Specia

Towards Controllable and Personalized Review Generation. Pan Li and Alexander Tuzhilin

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models. Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski and Jacopo Staiano

Long and Diverse Text Generation with Planning-based Hierarchical Variational Model. Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu and xiaoyan zhu

`Transforming` Delete, Retrieve, Generate Approach for Controlled Text Style Transfer. Akhilesh Sudhakar, Bhargav Upadhyay and Arjun Maheswaran

An Entity-Driven Framework for Abstractive Summarization. Eva Sharma, Luyang Huang, Zhe Hu and Lu Wang

Neural Extractive Text Summarization with Syntactic Compression. Jiacheng Xu and Greg Durrett

Domain Adaptive Text Style Transfer. Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Bill Dolan and Ming-Ting Sun

Let's Ask Again: Refine Network for Automatic Question Generation. Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan and Balaraman Ravindran

Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization. Taehee Jung, Dongyeop Kang, Lucas Mentch and Eduard Hovy

VizSeq: a visual analysis toolkit for text generation tasks. Changhan Wang, Anirudh Jain, Danlu Chen, and Jiatao Gu

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

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, Francesca Bonin, and David Konopnicki

EASSE: Easier Automatic Sentence Simplification Evaluation. Fernando Alva-Manchego, Louis Martin, Carolina Scarton, and Lucia Specia

ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation. Qiongkai Xu, Chenchen Xu, and Lizhen Qu

Coffee Break
15:00 – 15:30

(Session 7)

7A: Machine Translation & Multilinguality I
15:30 – 16:18
AWE Hall 2C

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Chair: Ann Clifton
15:30–15:42	Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction. Yova Kementchedjhieva, Mareike Hartmann and Anders Søgaard
15:42–15:54	Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. Katharina Kann, Kyunghyun Cho and Samuel R. Bowman
15:54–16:06	Synchronously Generating Two Languages with Interactive Decoding. Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu and Chengqing Zong
16:06–16:18	On NMT Search Errors and Model Errors: Cat Got Your Tongue?. Felix Stahlberg and Bill Byrne

7B: Reasoning & Question Answering
15:30 – 16:18
AWE 201A–C

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Chair: Xiang Ren
15:30–15:42	`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
15:42–15:54	QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization. Yi-Ting Yeh and Yun-Nung Chen
15:54–16:06	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
16:06–16:18	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

7C: Generation I
15:30 – 16:18
AWE 203–205

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Chair: Aliaksei Severyn
15:30–15:42	Pun-GAN: Generative Adversarial Network for Pun Generation. Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui and Xu SUN
15:42–15:54	Multi-Task Learning with Language Modeling for Question Generation. Wenjie Zhou, Minghua Zhang and Yunfang Wu
15:54–16:06	Autoregressive Text Generation Beyond Feedback Loops. Florian Schmidt, Stephan Mandt and Thomas Hofmann
16:06–16:18	The Woman Worked as a Babysitter: On Biases in Language Generation. Emily Sheng, Kai-Wei Chang, Premkumar Natarajan and Nanyun Peng

7D: Sentiment Analysis & Argument Mining III
15:30 – 16:18
AWE Hall 2B

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Chair: Preslav Nakov
15:30–15:42	On the Importance of Delexicalization for Fact Verification. Sandeep Suntwal, Mithun Paul, Rebecca Sharp and Mihai Surdeanu
15:42–15:54	Towards Debiasing Fact Verification Models. Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, Daniel Roberto Filizzola Ortiz, Enrico Santus and Regina Barzilay
15:54–16:06	Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks. Xingwei Tan, Yi Cai and Changxi Zhu
16:06–16:18	Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis. Jin Wang, Liang-Chih Yu, K. Robert Lai and Xuejie Zhang

7 Poster & Demo: Information Retrieval & Document Analysis, Lexical Semantics, Sentence-level Semantics, Machine Learning
15:30 – 16:18
AWE Hall 2A

A Label Informative Wide & Deep Classifier for Patents and Papers. Muyao Niu and Jie Cai

Text Level Graph Neural Network for Text Classification. Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang and Houfeng WANG

Semantic Relatedness Based Re-ranker for Text Spotting. Ahmed Sabir, Francesc Moreno and Lluís Padró

Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings. Hwiyeol Jo and Ceyda Cinarel

Visual Detection with Context for Document Layout Analysis. Carlos Soto and Shinjae Yoo

Evaluating Topic Quality with Posterior Variability. Linzi Xing, Michael J. Paul and Giuseppe Carenini

Neural Topic Model with Reinforcement Learning. Lin Gui, Jia Leng, Gabriele Pergola, yu zhou, Ruifeng Xu and Yulan He

Modelling Stopping Criteria for Search Results using Poisson Processes. Alison Sneyd and Mark Stevenson

Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval. Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang and Jimmy Lin

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

Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space. Kawin Ethayarajh

GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge. Luyao Huang, Chi Sun, Xipeng Qiu and Xuanjing Huang

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

Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling. Koki Washio, Satoshi Sekine and Tsuneaki Kato

Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja. Kang Min Yoo, Taeuk Kim and Sang-goo Lee

SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations. Marco Maru, Federico Scozzafava, Federico Martelli and Roberto Navigli

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition. Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu and Pascale Fung

Fine-tune BERT with Sparse Self-Attention Mechanism. Baiyun Cui, Yingming Li, Ming Chen and Zhongfei Zhang

Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. Lukas Lange, Michael A. Hedderich and Dietrich Klakow

A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation. Hagai Taitelbaum, Gal Chechik and Jacob Goldberger

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

Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer. Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li and Wenhan Chao

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

Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition. Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang and Jingbo Zhu

Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets. Esma Balkir, Masha Naslidnyk, Dave Palfrey and Arpit Mittal

Single Training Dimension Selection for Word Embedding with PCA. Yu Wang

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick and Yiming Yang

Humor Detection: A Transformer Gets the Last Laugh. Orion Weller and Kevin Seppi

Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training. Alham Fikri Aji, Kenneth Heafield and Nikolay Bogoychev

Small and Practical BERT Models for Sequence Labeling. Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li and Amelia Archer

Data Augmentation with Atomic Templates for Spoken Language Understanding. Zijian Zhao, Su Zhu and Kai Yu

PaLM: A Hybrid Parser and Language Model. Hao Peng, Roy Schwartz and Noah A. Smith

A Pilot Study for Chinese SQL Semantic Parsing. Qingkai Min, Yuefeng Shi and Yue Zhang

Global Reasoning over Database Structures for Text-to-SQL Parsing. Ben Bogin, Matt Gardner and Jonathan Berant

Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. Hiroki Ouchi, Jun Suzuki and Kentaro Inui

Efficient Sentence Embedding using Discrete Cosine Transform. Nada Almarwani, Hanan Aldarmaki and Mona Diab

A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection. Kurt Junshean Espinosa, Makoto Miwa and Sophia Ananiadou

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification. Yinfei Yang, Yuan Zhang, Chris Tar and Jason Baldridge

Pretrained Language Models for Sequential Sentence Classification. Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi and Dan Weld

Emergent Linguistic Phenomena in Multi-Agent Communication Games. Laura Harding Graesser, Kyunghyun Cho and Douwe Kiela

TalkDown: A Corpus for Condescension Detection in Context. Zijian Wang and Christopher Potts

Mini-Break
16:18 – 16:30

(Session 8)

8A: Summarization
16:30 – 18:00
AWE Hall 2C

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Chair: Lu Wang
16:30–16:48	Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization. Daniel Deutsch and Dan Roth
16:48–17:06	Text Summarization with Pretrained Encoders. Yang Liu and Mirella Lapata
17:06–17:24	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
17:24–17:42	BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. Peter West, Ari Holtzman, Jan Buys and Yejin Choi
17:42–18:00	Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator. Xiaoyu Shen, Yang Zhao, Hui Su and Dietrich Klakow

8B: Sentence-level Semantics II
16:30 – 18:00
AWE 201A–C

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Chair: Li Dong
16:30–16:48	Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. Bailin Wang, Ivan Titov and Mirella Lapata
16:48–17:06	Broad-Coverage Semantic Parsing as Transduction. Sheng Zhang, Xutai Ma, Kevin Duh and Benjamin Van Durme
17:06–17:24	Core Semantic First: A Top-down Approach for AMR Parsing. Deng Cai and Wai Lam
17:24–17:42	Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. Jonathan Herzig and Jonathan Berant
17:42–18:00	Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond. Mikel Artetxe and Holger Schwenk

8C: Information Extraction II
16:30 – 18:00
AWE 203–205

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Chair: Mihai Surdeanu
16:30–16:48	Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan and Cheng Yang
16:48–17:06	Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network. Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao and Shengping Liu
17:06–17:24	Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. Qinyuan Ye, Liyuan Liu, Maosen Zhang and Xiang Ren
17:24–17:42	Easy First Relation Extraction with Information Redundancy. Shuai Ma, Gang Wang, Yansong Feng and Jinpeng Huai
17:42–18:00	Dependency-Guided LSTM-CRF for Named Entity Recognition. Zhanming Jie and Wei Lu

8D: Information Retrieval & Document Analysis I
16:30 – 18:00
AWE Hall 2B

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Chair: Yansong Feng
16:30–16:48	Cross-Cultural Transfer Learning for Text Classification. Dor Ringel, Gal Lavee, Ido Guy and Kira Radinsky
16:48–17:06	Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification. Oren Melamud, Mihaela Bornea and Ken Barker
17:06–17:24	ProSeqo: Projection Sequence Networks for On-Device Text Classification. Zornitsa Kozareva and Sujith Ravi
17:24–17:42	Induction Networks for Few-Shot Text Classification. Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian and Jian Sun
17:42–18:00	Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. Wenpeng Yin, Jamaal Hay and Dan Roth

8 Poster & Demo: Machine Learning
16:30 – 18:00
AWE Hall 2A

A Logic-Driven Framework for Consistency of Neural Models. Tao Li, Vivek Gupta, Maitrey Mehta and Vivek Srikumar

Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites. Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova and Ivan P. Yamshchikov

Implicit Deep Latent Variable Models for Text Generation. Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong and Changyou Chen

Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach. Zhenjie Zhao and Xiaojuan Ma

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. Cristina Garbacea, Samuel Carton, Shiyan Yan and Qiaozhu Mei

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. Nils Reimers and Iryna Gurevych

Learning Only from Relevant Keywords and Unlabeled Documents. Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie and Masashi Sugiyama

Denoising based Sequence-to-Sequence Pre-training for Text Generation. Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li and Jingming Liu

Dialog Intent Induction with Deep Multi-View Clustering. Hugh Perkins and Yi Yang

Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction. Sahil Garg, Aram Galstyan, Greg Ver Steeg and Guillermo Cecchi

Auditing Deep Learning processes through Kernel-based Explanatory Models. Danilo Croce, Daniele Rossini and Roberto Basili

Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation. Dong Qian and William K. Cheung

Sampling Bias in Deep Active Classification: An Empirical Study. Ameya Prabhu, Charles Dognin and Maneesh Singh

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. Christopher Clark, Mark Yatskar and Luke Zettlemoyer

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

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. Mo Yu, Shiyu Chang, Yang Zhang and Tommi Jaakkola

Experimenting with Power Divergences for Language Modeling. Matthieu Labeau and Shay B. Cohen

Hierarchically-Refined Label Attention Network for Sequence Labeling. Leyang Cui and Yue Zhang

Certified Robustness to Adversarial Word Substitutions. Robin Jia, Aditi Raghunathan, Kerem Göksel and Percy Liang

Visualizing and Understanding the Effectiveness of BERT. Yaru Hao, Li Dong, Furu Wei and Ke Xu

Topics to Avoid: Demoting Latent Confounds in Text Classification. Sachin Kumar, Shuly Wintner, Noah A. Smith and Yulia Tsvetkov

Learning to Ask for Conversational Machine Learning. Shashank Srivastava, Igor Labutov and Tom Mitchell

Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training. Hila Gonen and Yoav Goldberg

Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs. Angela Fan, Claire Gardent, Chloé Braud and Antoine Bordes

Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation. Huiyun Yang, Shujian Huang, XIN-YU DAI and Jiajun CHEN

Exploiting Monolingual Data at Scale for Neural Machine Translation. Lijun Wu, Yiren Wang, Yingce Xia, Tao QIN, Jianhuang Lai and Tie-Yan Liu

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen and Huajun Chen

Distributionally Robust Language Modeling. Yonatan Oren, Shiori Sagawa, Tatsunori Hashimoto and Percy Liang

Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling. Xiaochuang Han and Jacob Eisenstein

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds. John P. Lalor, Hao Wu and Hong Yu

Parallel Iterative Edit Models for Local Sequence Transduction. Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh and Vihari Piratla

ARAML: A Stable Adversarial Training Framework for Text Generation. Pei Ke, Fei Huang, Minlie Huang and xiaoyan zhu

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig and Eduard Hovy

Compositional Generalization for Primitive Substitutions. Yuanpeng Li, Liang Zhao, Jianyu Wang and Joel Hestness

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom and Thomas Lukasiewicz

Identifying and Explaining Discriminative Attributes. Armins Stepanjans and André Freitas

Patient Knowledge Distillation for BERT Model Compression. Siqi Sun, Yu Cheng, Zhe Gan and Jingjing Liu

Neural Gaussian Copula for Variational Autoencoder. Prince Zizhuang Wang and William Yang Wang

Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel. Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency and Ruslan Salakhutdinov

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. Jiawei Wu, Wenhan Xiong and William Yang Wang

Revealing the Dark Secrets of BERT. Olga Kovaleva, Alexey Romanov, Anna Rogers and Anna Rumshisky

Machine Translation With Weakly Paired Documents. Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao QIN, Jianhuang Lai and Tie-Yan Liu

Countering Language Drift via Visual Grounding. Jason Lee, Kyunghyun Cho and Douwe Kiela

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

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

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

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, and Sameer Singh

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

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

Thursday, 7 November 2019

Keynote III: "Curiosity-driven Journey into Neural Sequence Models"
Kyunghyun Cho (New York University)
09:00 – 10:00
AWE Hall 2C

In this talk, I take the audience on a tour of my earlier and recent experiences in building neural sequence models. I start from the earlier experience of using a recurrent net for sequence-to-sequence learning and talk about the attention mechanism. I discuss factors behind the success of these earlier approaches, and how these were embraced by the community even before they sota’d. I then move on to more recent research direction in unconventional neural sequence models that automatically learn to decide on the order of generation.

Coffee Break
10:00 – 10:30

(Session 9)

9A: Machine Translation & Multilinguality II
10:30 – 12:00
AWE Hall 2C

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Chair: Qun Liu
10:30–10:48	Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?. Ivan Vulić, Goran Glavaš, Roi Reichart and Anna Korhonen
10:48–11:06	Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings. Haozhou Wang, James Henderson and Paola Merlo
11:06–11:24	Aligning Cross-Lingual Entities with Multi-Aspect Information. Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin and Xu SUN
11:24–11:42	Contrastive Language Adaptation for Cross-Lingual Stance Detection. Mitra Mohtarami, James Glass and Preslav Nakov
11:42–12:00	Jointly Learning to Align and Translate with Transformer Models. Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy and Matthias Paulik

9B: Reasoning
10:30 – 12:00
AWE 201A–C

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Chair: Bonnie Webber
10:30–10:48	Social IQa: Commonsense Reasoning about Social Interactions. Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras and Yejin Choi
10:48–11:06	Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning. Yichen Jiang and Mohit Bansal
11:06–11:24	Posing Fair Generalization Tasks for Natural Language Inference. Atticus Geiger, Ignacio Cases, Lauri Karttunen and Christopher Potts
11:24–11:42	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
11:42–12:00	CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau and William L. Hamilton

9C: Dialog & Interactive Systems II
10:30 – 12:00
AWE 203–205

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Chair: Yang Liu
10:30–10:48	Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim and Andy Cedilnik
10:48–11:06	Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data. Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang, Adel Youssef and Mona Diab
11:06–11:24	Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack. Emily Dinan, Samuel Humeau, Bharath Chintagunta and Jason Weston
11:24–11:42	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
11:42–12:00	Task-Oriented Conversation Generation Using Heterogeneous Memory Networks. Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen and Yin Zhang

9D: Sentiment Analysis & Argument Mining IV
10:30 – 12:00
AWE Hall 2B

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Chair: Deyu Zhou
10:30–10:48	Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. Chen Zhang, Qiuchi Li and Dawei Song
10:48–11:06	Coupling Global and Local Context for Unsupervised Aspect Extraction. Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu and Kam-Fai Wong
11:06–11:24	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
11:24–11:42	CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis. Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng and Xiaowei Shen
11:42–12:00	Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training. Giannis Karamanolakis, Daniel Hsu and Luis Gravano

9 Poster & Demo: Social Media & Computational Social Science, Text Mining & NLP Applications
10:30 – 12:00
AWE Hall 2A

Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts. Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky and Ajay Divakaran

Neural Conversation Recommendation with Online Interaction Modeling. Xingshan Zeng, Jing Li, Lu Wang and Kam-Fai Wong

Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection. Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir and Ling Sun

Text-based inference of moral sentiment change. Jing Yi Xie, Renato Ferreira Pinto Junior, Graeme Hirst and Yang Xu

Detecting Causal Language Use in Science Findings. Bei Yu, Yingya Li and Jun Wang

Multilingual and Multi-Aspect Hate Speech Analysis. Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song and Dit-Yan Yeung

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen and Jakob Grue Simonsen

A Deep Neural Information Fusion Architecture for Textual Network Embeddings. Zenan Xu, Qinliang Su, Xiaojun Quan and Weijia Zhang

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

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis. Shrey Desai, Barea Sinno, Alex Rosenfeld and Junyi Jessy Li

A Hierarchical Location Prediction Neural Network for Twitter User Geolocation. Binxuan Huang and Kathleen Carley

Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop. Jonathan P. Chang and Cristian Danescu-Niculescu-Mizil

A Benchmark Dataset for Learning to Intervene in Online Hate Speech. Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding and William Yang Wang

Detecting and Reducing Bias in a High Stakes Domain. Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous and Kathy McKeown

CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums. Ella Rabinovich, Masih Sultani and Suzanne Stevenson

Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. Penghui Wei, Nan Xu and Wenji Mao

Measuring Online Debaters' Persuasive Skill from Text over Time. Kelvin Luu, Chenhao Tan and Noah A. Smith

Reconstructing Capsule Networks for Zero-shot Intent Classification. Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu and Albert Y.S. Lam

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

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji and Xiaoli Li

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

News2vec: News Network Embedding with Subnode Information. Ye Ma, Lu Zong, Yikang Yang and Jionglong Su

Recursive Context-Aware Lexical Simplification. Sian Gooding and Ekaterina Kochmar

Leveraging Medical Literature for Section Prediction in Electronic Health Records. Sara Rosenthal, Ken Barker and Zhicheng Liang

Neural News Recommendation with Heterogeneous User Behavior. Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang and Xing Xie

Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang and Xing Xie

Event Representation Learning Enhanced with External Commonsense Knowledge. Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li and Junwen Duan

Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang and Wei Wang

A Neural Citation Count Prediction Model based on Peer Review Text. Siqing Li, Wayne Xin Zhao, Eddy Jing Yin and Ji-Rong Wen

Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs. Fenia Christopoulou, Makoto Miwa and Sophia Ananiadou

Semi-supervised Text Style Transfer: Cross Projection in Latent Space. Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi and Rui Yan

Question Answering for Privacy Policies: Combining Computational and Legal Perspectives. Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton and Norman Sadeh

Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation. Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao and Rui Yan

Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks. Hailong Jin, Lei Hou, Juanzi Li and Tiansi Dong

Learning to Infer Entities, Properties and their Relations from Clinical Conversations. Nan Du, Mingqiu Wang, Linh Tran, Gang Lee and Izhak Shafran

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. Moontae Lee, Sungjun Cho, David Bindel and David Mimno

Modeling the Relationship between User Comments and Edits in Document Revision. Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar and ChangTien Lu

PRADO: Projection Attention Networks for Document Classification On-Device. Prabhu Kaliamoorthi, Sujith Ravi and Zornitsa Kozareva

Subword Language Model for Query Auto-Completion. Gyuwan Kim

Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph. Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei and Ting Chen

TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, and Kentaro Inui

Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis. Twin Karmakharm, Nikolaos Aletras, and Kalina Bontcheva

MAssistant: A Personal Knowledge Assistant for MOOC Learners. Lan Jiang, Shuhan Hu, Mingyu Huang, Zhichun Wang, Jinjian Yang, Xiaoju Ye, and Wei Zheng

A Stylometry Toolkit for Latin Literature. Thomas J. Bolt, Jeffrey H. Flynt, Pramit Chaudhuri, and Joseph P. Dexter

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

Visualizing Trends of Key Roles in News Articles. Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, and Kai-Wei Chang

Lunch
12:00 – 12:30

SIGDAT Business Meeting
12:30 – 13:30
AWE Hall 2C

All attendees are encouraged to participate in the business meeting.

(Session 10)

10A: Generation II
13:30 – 15:00
AWE Hall 2C

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Chair: Nanyun (Violet) Peng
13:30–13:48	Counterfactual Story Reasoning and Generation. Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark and Yejin Choi
13:48–14:06	Encode, Tag, Realize: High-Precision Text Editing. Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka and Aliaksei Severyn
14:06–14:24	Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation. Weichao Wang, Shi Feng, Daling Wang and Yifei Zhang
14:24–14:42	Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation. Ze Yang, Can Xu, wei wu and zhoujun li
14:42–15:00	A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features. hongyin tang, Miao Li and Beihong Jin

10B: Speech, Vision, Robotics, Multimodal & Grounding II
13:30 – 15:00
AWE 201A–C

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Chair: Nancy Chen
13:30–13:48	LXMERT: Learning Cross-Modality Encoder Representations from Transformers. Hao Tan and Mohit Bansal
13:48–14:06	Phrase Grounding by Soft-Label Chain Conditional Random Field. Jiacheng Liu and Julia Hockenmaier
14:06–14:24	What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues. Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song and Changshui Zhang
14:24–14:42	YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension. Weiying Wang, Yongcheng Wang, Shizhe Chen and Qin Jin
14:42–15:00	DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization. Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li and Jun Xiao

10C: Information Extraction III
13:30 – 15:00
AWE 203–205

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Chair: Heng Ji
13:30–13:48	CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu and Jiawei Han
13:48–14:06	Neural Cross-Lingual Event Detection with Minimal Parallel Resources. Jian Liu, Yubo Chen, Kang Liu and Jun Zhao
14:06–14:24	Open Domain Web Keyphrase Extraction Beyond Language Modeling. Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos and Arnold Overwijk
14:24–14:42	TuckER: Tensor Factorization for Knowledge Graph Completion. Ivana Balazevic, Carl Allen and Timothy Hospedales
14:42–15:00	Weakly Supervised Domain Detection. Yumo Xu and Mirella Lapata

10D: Information Retrieval & Document Analysis II
13:30 – 15:00
AWE Hall 2B

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Chair: Kenton Lee
13:30–13:48	Human-grounded Evaluations of Explanation Methods for Text Classification. Piyawat Lertvittayakumjorn and Francesca Toni
13:48–14:06	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
14:06–14:24	Adversarial Reprogramming of Text Classification Neural Networks. Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov and Farinaz Koushanfar
14:24–14:42	Document Hashing with Mixture-Prior Generative Models. Wei Dong, Qinliang Su, Dinghan Shen and Changyou Chen
14:42–15:00	On Efficient Retrieval of Top Similarity Vectors. Shulong Tan, Zhixin Zhou, Zhaozhuo Xu and Ping Li

10 Poster & Demo: Sentiment Analysis & Argument Mining, Lexical Semantics, Sentence-level Semantics
13:30 – 15:00
AWE Hall 2A

Multiplex Word Embeddings for Selectional Preference Acquisition. Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng and Dong Yu

MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model. Yukun Ma, Patrick H. Chen and Cho-Jui Hsieh

It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution. Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell and Simone Teufel

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

Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation. Yogarshi Vyas and Marine Carpuat

Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations. Christian Hadiwinoto, Hwee Tou Ng and Wee Chung Gan

Do NLP Models Know Numbers? Probing Numeracy in Embeddings. Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh and Matt Gardner

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

Text2Math: End-to-end Parsing Text into Math Expressions. Yanyan Zou and Wei Lu

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

Syntax-aware Multilingual Semantic Role Labeling. Shexia He, Zuchao Li and Hai Zhao

Cloze-driven Pretraining of Self-attention Networks. Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer and Michael Auli

Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling. Jinfeng Rao, Linqing Liu, Yi Tay, Wei Yang, Peng Shi and Jimmy Lin

A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling. Qingrong Xia, Zhenghua Li and Min Zhang

Transfer Fine-Tuning: A BERT Case Study. Yuki Arase and Jun'ichi Tsujii

Data-Anonymous Encoding for Text-to-SQL Generation. Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou and Dongmei Zhang

Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks. Xinchi Chen, Chunchuan Lyu and Ivan Titov

Learning Programmatic Idioms for Scalable Semantic Parsing. Srinivasan Iyer, Alvin Cheung and Luke Zettlemoyer

JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation. Rajas Agashe, Srinivasan Iyer and Luke Zettlemoyer

Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. Ziyu Yao, Yu Su, Huan Sun and Wen-tau Yih

Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang and Guodong Zhou

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks. Binxuan Huang and Kathleen Carley

Learning Explicit and Implicit Structures for Targeted Sentiment Analysis. Hao Li and Wei Lu

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

Emotion Detection with Neural Personal Discrimination. Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou and Min Zhang

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification. Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su and Xu SUN

LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification. Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang and Xu SUN

Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery. Zhe Zhang and Munindar Singh

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

Shallow Domain Adaptive Embeddings for Sentiment Analysis. Prathusha K Sarma, Yingyu Liang and William Sethares

Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification. Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng and Zhong Su

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

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

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

Rethinking Attribute Representation and Injection for Sentiment Classification. Reinald Kim Amplayo

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

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

Fine-Grained Analysis of Propaganda in News Article. Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov and Preslav Nakov

Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis. Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal and Pushpak Bhattacharyya

Sequential Learning of Convolutional Features for Effective Text Classification. Avinash Madasu and Vijjini Anvesh Rao

The Role of Pragmatic and Discourse Context in Determining Argument Impact. Esin Durmus, Faisal Ladhak and Claire Cardie

Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao and Xudong Liu

Coffee Break
15:00 – 15:30

(Session 11)

11A: Machine Translation & Multilinguality III
15:30 – 16:18
AWE Hall 2C

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Chair: Taro Watanabe
15:30–15:42	Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization. Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu and Tiejun Zhao
15:42–15:54	Simple and Effective Noisy Channel Modeling for Neural Machine Translation. Kyra Yee, Yann Dauphin and Michael Auli
15:54–16:06	MultiFiT: Efficient Multi-lingual Language Model Fine-tuning. Julian Eisenschlos, Sebastian Ruder, Piotr Czapla, Marcin Kadras, Sylvain Gugger and Jeremy Howard
16:06–16:18	Hint-Based Training for Non-Autoregressive Machine Translation. Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao QIN, Liwei WANG and Tie-Yan Liu

11B: Syntax, Parsing, & Linguistic Theories
15:30 – 16:18
AWE 201A–C

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Chair: Weiwei Sun
15:30–15:42	Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers. Adam Fisch, Jiang Guo and Regina Barzilay
15:42–15:54	Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing. Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu and Ting Liu
15:54–16:06	Multilingual Grammar Induction with Continuous Language Identification. Wenjuan Han, Ge Wang, Yong Jiang and Kewei Tu
16:06–16:18	Quantifying the Semantic Core of Gender Systems. Adina Williams, Damian Blasi, Lawrence Wolf-Sonkin, Hanna Wallach and Ryan Cotterell

11C: Sentiment & Social Media
15:30 – 16:18
AWE 203–205

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Chair: Ruifeng Xu
15:30–15:42	Perturbation Sensitivity Analysis to Detect Unintended Model Biases. Vinodkumar Prabhakaran, Ben Hutchinson and Margaret Mitchell
15:42–15:54	Automatically Inferring Gender Associations from Language. Serina Chang and Kathy McKeown
15:54–16:06	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
16:06–16:18	Minimally Supervised Learning of Affective Events Using Discourse Relations. Jun Saito, Yugo Murawaki and Sadao Kurohashi

11D: Information Extraction IV
15:30 – 16:18
AWE Hall 2B

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Chair: Radu Florian
15:30–15:42	Event Detection with Multi-Order Graph Convolution and Aggregated Attention. Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo and Xueqi Cheng
15:42–15:54	Coverage of Information Extraction from Sentences and Paragraphs. Simon Razniewski, Nitisha Jain, Paramita Mirza and Gerhard Weikum
15:54–16:06	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
16:06–16:18	Entity, Relation, and Event Extraction with Contextualized Span Representations. David Wadden, Ulme Wennberg, Yi Luan and Hannaneh Hajishirzi

11 Poster & Demo: Discourse & Pragmatics, Linguistic Theories, Textual Inference, Question Answering, Summarization & Generation
15:30 – 16:18
AWE Hall 2A

Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains. Wei Shi and Vera Demberg

Split or Merge: Which is Better for Unsupervised RST Parsing?. Naoki Kobayashi, Tsutomu Hirao, Kengo Nakamura, Hidetaka Kamigaito, Manabu Okumura and Masaaki Nagata

BERT for Coreference Resolution: Baselines and Analysis. Mandar Joshi, Omer Levy, Luke Zettlemoyer and Daniel Weld

Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs. Dongyeop Kang and Eduard Hovy

Event Causality Recognition Exploiting Multiple Annotators' Judgments and Background Knowledge. Kazuma Kadowaki, Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh and Julien Kloetzer

What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Neurons. Ji Xin, Jimmy Lin and Yaoliang Yu

Quantity doesn't buy quality syntax with neural language models. Marten van Schijndel, Aaron Mueller and Tal Linzen

Higher-order Comparisons of Sentence Encoder Representations. Mostafa Abdou, Artur Kulmizev, Felix Hill, Daniel M. Low and Anders Søgaard

Text Genre and Training Data Size in Human-like Parsing. John Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer and Jonathan Brennan

Feature2Vec: Distributional semantic modelling of human property knowledge. Steven Derby, Paul Miller and Barry Devereux

Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation. Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee and Giedrius Burachas

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

Revisiting the Evaluation of Theory of Mind through Question Answering. Matthew Le, Y-Lan Boureau and Maximilian Nickel

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati and Bing Xiang

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

MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering. Hojae Han, Seungtaek Choi, Haeju Park and Seung-won Hwang

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

Answering Conversational Questions on Structured Data without Logical Forms. Thomas Mueller, Francesco Piccinno, Peter Shaw, Massimo Nicosia and Yasemin Altun

Improving Answer Selection and Answer Triggering using Hard Negatives. Sawan Kumar, shweta garg, Kartik Mehta and Nikhil Rasiwasia

Can You Unpack That? Learning to Rewrite Questions-in-Context. Ahmed Elgohary, Denis Peskov and Jordan Boyd-Graber

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith and Matt Gardner

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

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. Oyvind Tafjord, Matt Gardner, Kevin Lin and Peter Clark

Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension. Daniel Andor, Luheng He, Kenton Lee and Emily Pitler

A Gated Self-attention Memory Network for Answer Selection. Tuan Lai, Quan Hung Tran, Trung Bui and Daisuke Kihara

Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets. Hong-Ren Mao and Hung-Yi Lee

Query-focused Sentence Compression in Linear Time. Abram Handler and Brendan O'Connor

Generating Personalized Recipes from Historical User Preferences. Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni and Julian McAuley

Generating Highly Relevant Questions. Jiazuo Qiu and Deyi Xiong

Improving Neural Story Generation by Targeted Common Sense Grounding. Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian McAuley and Garrison Cottrell

Abstract Text Summarization: A Low Resource Challenge. Shantipriya Parida and Petr Motlicek

Generating Modern Poetry Automatically in Finnish. Mika Hämäläinen and Khalid Alnajjar

SUM-QE: a BERT-based Summary Quality Estimation Model. Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki and Ion Androutsopoulos

An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. Wanyu Du and Yangfeng Ji

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

Learning Rhyming Constraints using Structured Adversaries. Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell and Taylor Berg-Kirkpatrick

Question-type Driven Question Generation. Wenjie Zhou, Minghua Zhang and Yunfang Wu

Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. Siyao Li, Deren Lei, Pengda Qin and William Yang Wang

Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation. Dongjun Lee

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

Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching. Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan and Xiaola Lin

What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language De?nition. Ting-Yun Chang and Yun-Nung Chen

Pre-Training BERT on Domain Resources for Short Answer Grading. Chul Sung, Tejas Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy and Rishi Arora

WIQA: A dataset for `What if...` reasoning over procedural text. Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark and Antoine Bosselut

Evaluating BERT for natural language inference: A case study on the CommitmentBank. Nanjiang Jiang and Marie-Catherine de Marneffe

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs. Soumya Sharma, Bishal Santra, Abhik Jana, Santosh Tokala, Niloy Ganguly and Pawan Goyal

Mini-Break
16:18 – 16:30

(Session 12)

12A: Machine Translation & Multilinguality IV
16:30 – 17:24
AWE Hall 2C

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Chair: Orhan Firat
16:30–16:48	The FLORES Evaluation Datasets for Low-Resource Machine Translation: NepaliñEnglish and SinhalañEnglish. Francisco Guzmán, Peng-Jen Chen, Myle Ott, Juan Pino, Guillaume Lample, Philipp Koehn, Vishrav Chaudhary and Marc'Aurelio Ranzato
16:48–17:06	Mask-Predict: Parallel Decoding of Conditional Masked Language Models. Marjan Ghazvininejad, Omer Levy, Yinhan Liu and Luke Zettlemoyer
17:06–17:24	Learning to Copy for Automatic Post-Editing. Xuancheng Huang, Yang Liu, Huanbo Luan, Jingfang Xu and Maosong Sun

12B: Lexical Semantics III
16:30 – 17:24
AWE 201A–C

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Chair: Roberto Navigli
16:30–16:48	Exploring Human Gender Stereotypes with Word Association Test. Yupei Du, Yuanbin Wu and Man Lan
16:48–17:06	Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. Vered Shwartz and Ido Dagan
17:06–17:24	Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution. Yanai Elazar and Yoav Goldberg

12C: Generation III
16:30 – 17:24
AWE 203–205

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Chair: Michael White
16:30–16:48	A Modular Architecture for Unsupervised Sarcasm Generation. Abhijit Mishra, Tarun Tater and Karthik Sankaranarayanan
16:48–17:06	Generating Classical Chinese Poems from Vernacular Chinese. Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu and hong yu
17:06–17:24	Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes. Litton J Kurisinkel and Nancy Chen

12D: Phonology, Word Segmentation, & Parsing
16:30 – 17:24
AWE Hall 2B

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Chair: Yue Zhang
16:30–16:48	Constraint-based Learning of Phonological Processes. Shraddha Barke, Rose Kunkel, Nadia Polikarpova, Eric Meinhardt, Eric Bakovic and Leon Bergen
16:48–17:06	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
17:06–17:24	A Generative Model for Punctuation in Dependency Trees. Xiang Lisa Li, Dingquan Wang and Jason Eisner

12 Poster & Demo: Information Extraction, Text Mining & NLP Applications, Social Media & Computational Social Science, Sentiment Analysis & Argument Mining
16:30 – 17:24
AWE Hall 2A

An Attentive Fine-Grained Entity Typing Model with Latent Type Representation. Ying Lin and Heng Ji

An Improved Neural Baseline for Temporal Relation Extraction. Qiang Ning, Sanjay Subramanian and Dan Roth

Improving Fine-grained Entity Typing with Entity Linking. Hongliang Dai, Donghong Du, Xin Li and Yangqiu Song

Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities. Bailin Wang and Wei Lu

Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas. Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa and Mathias Niepert

Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition. Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Bin Dong and Shanshan Jiang

`A Buster Keaton of Linguistics`: First Automated Approaches for the Extraction of Vossian Antonomasia. Michel Schwab, Robert Jäschke, Frank Fischer and Jannik Strötgen

Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing. Taiki Watanabe, Akihiro Tamura, Takashi Ninomiya, Takuya Makino and Tomoya Iwakura

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

ner and pos when nothing is capitalized. Stephen Mayhew, Tatiana Tsygankova and Dan Roth

CaRB: A Crowdsourced Benchmark for Open IE. Sangnie Bhardwaj, Samarth Aggarwal and Mausam -

Weakly Supervised Attention Networks for Entity Recognition. Barun Patra and Joel Ruben Antony Moniz

Revealing and Predicting Online Persuasion Strategy with Elementary Units. Gaku Morio, Ryo Egawa and Katsuhide Fujita

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao and Min Yang

Learning with Noisy Labels for Sentence-level Sentiment Classification. Hao Wang, Bing Liu, Chaozhuo Li, Yan Yang and Tianrui Li

DENS: A Dataset for Multi-class Emotion Analysis. Chen Liu, Muhammad Osama and Anderson De Andrade

Multi-Task Stance Detection with Sentiment and Stance Lexicons. Yingjie Li and Cornelia Caragea

A Robust Self-Learning Framework for Cross-Lingual Text Classification. Xin Dong and Gerard de Melo

Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora. Canasai Kruengkrai

Label Embedding using Hierarchical Structure of Labels for Twitter Classification. Taro Miyazaki, Kiminobu Makino, Yuka Takei, Hiroki Okamoto and Jun Goto

Interpretable Word Embeddings via Informative Priors. Miriam Hurtado Bodell, Martin Arvidsson and Måns Magnusson

Adversarial Removal of Demographic Attributes Revisited. Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott and Anders Søgaard

A deep-learning framework to detect sarcasm targets. Jasabanta Patro, Srijan Bansal and Animesh Mukherjee

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 Label Dependencies in Multilabel Stance Detection. William Ferreira and Andreas Vlachos

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

Charge-Based Prison Term Prediction with Deep Gating Network. Huajie Chen, Deng Cai, Wei Dai, Zehui Dai and Yadong Ding

Restoring ancient text using deep learning: a case study on Greek epigraphy. Yannis Assael, Thea Sommerschield and Jonathan Prag

Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition. Zhenjie Zhao, Andrew Cattle, Evangelos Papalexakis and Xiaojuan Ma

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks. Jason Wei and Kai Zou

Neural News Recommendation with Multi-Head Self-Attention. Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang and Xing Xie

What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis. Xiaolei Huang, Jonathan May and Nanyun Peng

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

Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints. Masaaki Nishino, Sho Takase, Tsutomu Hirao and Masaaki Nagata

STANCY: Stance Classification Based on Consistency Cues. Kashyap Popat, Subhabrata Mukherjee, Andrew Yates and Gerhard Weikum

Cross-lingual intent classification in a low resource industrial setting. Talaat Khalil, Kornel Kielczewski, Georgios Christos Chouliaras, Amina Keldibek and Maarten Versteegh

SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence. Jun-U Park, Sang-Ki Ko, Marco Cognetta and Yo-Sub Han

Using Clinical Notes with Time Series Data for ICU Management. Swaraj Khadanga, Karan Aggarwal, Shafiq Joty and Jaideep Srivastava

Spelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary. Adithya Renduchintala, Philipp Koehn and Jason Eisner

Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature. Bonan Min, Yee Seng Chan, Haoling Qiu and Joshua Fasching

RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation. Tzuf Paz-Argaman and Reut Tsarfaty

Context-Aware Conversation Thread Detection in Multi-Party Chat. Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang and Mo Yu

SciBERT: A Pretrained Language Model for Scientific Text. Iz Beltagy, Kyle Lo and Arman Cohan

Mini-Break
17:24 – 17:30

Best Paper Awards and Closing
17:30 – 18:00
AWE Hall 2C

  Include plenary sessions in schedule
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