Program

Schedule

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Sunday, July 28th, 2019
Tutorials & Welcome Cocktail

Monday, July 29th, 2019
Main conference

Tuesday, July 30th, 2019
Main conference & social event

Wednesday, July 31st, 2019
Main Conference

Thursday, August 1st, 2019
Workshops & Co-located conferences

Friday, August 2nd, 2019
Workshops & Co-located conferences

Papers

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Long Papers (Main Conference)

SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings
Chengyu Wang, XIAOFENG HE and Aoying Zhou

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazare and Jason Weston

MOROCO: The Moldavian and Romanian Dialectal Corpus
Andrei Butnaru and Radu Tudor Ionescu

Improved Language Modeling by Decoding the Past
Siddhartha Brahma

Generating Responses with a Specific Emotion in Dialog
Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu and Xuanjing Huang

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan and William Yang Wang

Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings
Matthew Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela and Maximilian Nickel

Open Vocabulary Learning for Neural Chinese Pinyin IME
Zhuosheng Zhang, Yafang Huang and Hai Zhao

Head-Driven Phrase Structure Grammar Parsing on Penn Treebank
Junru Zhou and Hai Zhao

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
Zhenfang Chen, Lin Ma, Wenhan Luo and Kwan-Yee Kenneth Wong

Reinforced Training Data Selection for Domain Adaptation
Miaofeng Liu, Yan Song, Hongbin Zou and Tong Zhang

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding
Junyi Li, Wayne Xin Zhao, Ji-Rong Wen and Yang Song

Neural News Recommendation with Long- and Short-term User Representations
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu and Xing Xie

Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text
Jianxing YU, Zhengjun ZHA and Jian YIN

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model
Wei Li, Jingjing Xu, Yancheng He, ShengLi Yan, Yunfang Wu and Xu SUN

Adversarial Attention Modeling for Multi-dimensional Emotion Regression
Suyang Zhu, Shoushan Li and Guodong Zhou

Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing
Sijie Mai, Haifeng Hu and Songlong Xing

OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
Seungwhan Moon, Pararth Shah, Anuj Kumar and Rajen Subba

Joint Slot Filling and Intent Detection via Capsule Neural Networks
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan and Philip Yu

Semi-supervised Domain Adaptation for Dependency Parsing
Zhenghua Li, Xue Peng, Min Zhang, Rui Wang and Luo Si

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
Rui Zhang and Joel Tetreault

Dense Procedure Captioning in Narrated Instructional Videos
Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu and Ming Zhou

Incremental Learning from Scratch for Task-Oriented Dialogue Systems
Weikang Wang, Jiajun Zhang, Qian Li, Mei-Yuh Hwang, Chengqing Zong and Zhifei Li

Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
Yitao Cai, Huiyu Cai and Xiaojun Wan

Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation
Yftah Ziser and Roi Reichart

Deep Dominance - How to Properly Compare Deep Neural Models
Rotem Dror, Segev Shlomov and Roi Reichart

Zero-Shot Semantic Parsing for Instructions
Ofer Givoli and Roi Reichart

Automatic Domain Adaptation Outperforms Manual Domain Adaptation for Predicting Financial Outcomes
Marina Sedinkina, Nikolas Breitkopf and Hinrich Schütze

Latent Variable Model for Multi-modal Translation
Iacer Calixto, Miguel Rios and Wilker Aziz

Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension
Yimeng Zhuang and Huadong Wang

PaperRobot: Incremental Draft Generation of Scientific Ideas
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal and Yi Luan

Reliability-aware Dynamic Feature Composition for Name Tagging
Ying Lin, Liyuan Liu, Heng Ji, Dong Yu and Jiawei Han

Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese
Sheng Xu, Peifeng Li, Fang Kong, Qiaoming Zhu and Guodong Zhou

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu and Tiejun Zhao

ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo and Xueqi Cheng

AutoML strategy based on grammatical evolution: A case study about knowledge discovery from text
Suilan Estevez-Velarde, Yoan Gutiérrez, Andrés Montoyo and Yudivián Almeida-Cruz

Manipulating the Difficulty of C-Tests
Ji-Ung Lee, Erik Schwan and Christian M. Meyer

Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings
Zied Haj-Yahia, Adrien Sieg and Léa A. Deleris

A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching
Jihun Choi, Taeuk Kim and Sang-goo Lee

Heuristic Authorship Obfuscation
Janek Bevendorff, Martin Potthast, Matthias Hagen and Benno Stein

Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong and Lidia S. Chao

Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
Alexander Fabbri, Irene Li, Tianwei She, Suyi Li and Dragomir Radev

Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation
Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu and Jie Zhou

Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation
Masashi Yoshikawa, Hiroshi Noji, Koji Mineshima and Daisuke Bekki

Multi-Source Cross-Lingual Model Transfer: Learning What to Share
Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, Wei Wang and Claire Cardie

Identifying Visible Actions in Lifestyle Vlogs
Oana Ignat, Laura Burdick, Jia Deng and Rada Mihalcea

Augmenting Neural Networks with First-order Logic
Tao Li and Vivek Srikumar

Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models
Ruibo WANG and Jihong Li

Explicit Utilization of General Knowledge in Machine Reading Comprehension
Chao Wang and Hui Jiang

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
Huaishao Luo, Tianrui Li, Bing Liu and Junbo Zhang

Self-Attentional Models for Lattice Inputs
Matthias Sperber, Graham Neubig, Ngoc-Quan Pham and Alex Waibel

Multi-style Generative Reading Comprehension
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano and Junji Tomita

Joint Effects of Context and User History for Predicting Online Conversation Re-entries
Xingshan Zeng, Jing Li, Lu Wang and Kam-Fai Wong

A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity
Yoshinari Fujinuma, Jordan Boyd-Graber and Michael J. Paul

Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension
Daesik Kim, Seonhoon Kim and Nojun Kwak

Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Zhi-Xiu Ye and Zhen-Hua Ling

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension
Minghao Hu, Yuxing Peng, Zhen Huang and Dongsheng Li

Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision
Hongliang Dai and Yangqiu Song

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing
Daya Guo, Duyu Tang, Nan Duan, Ming Zhou and Jian Yin

Improving Abstractive Document Summarization with Salient Information Modeling
Yongjian You, Weijia Jia, Tianyi Liu and Wenmian Yang

Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking
Masaru Isonuma, Junichiro Mori and Ichiro Sakata

Just "OneSeC" for Producing Multilingual Sense-Annotated Data
Bianca Scarlini, Tommaso Pasini and Roberto Navigli

How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Goran Glavaš, Robert Litschko, Sebastian Ruder and Ivan Vulić

Learning from omission
Bill McDowell and Noah Goodman

Topic Modeling with Wasserstein Autoencoders
Feng Nan, Ran Ding, Ramesh Nallapati and Bing Xiang

Towards Language Agnostic Universal Representations
Armen Aghajanyan, Xia Song and Saurabh Tiwary

Meaning to Form: Measuring Systematicity as Information
Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark and Ryan Cotterell

Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
Ran Zmigrod, Sebastian J. Mielke, Hanna Wallach and Ryan Cotterell

Neural Text Simplification of Clinical Letters with a Domain Specific Phrase Table
Matthew Shardlow and Raheel Nawaz

TIGS: An Inference Algorithm for Text Infilling with Gradient Search
Dayiheng Liu, Jie Fu, Pengfei Liu and Jiancheng Lv

Stochastic Tokenization with a Language Model for Neural Text Classification
Tatsuya Hiraoka, Hiroyuki Shindo and Yuji Matsumoto

Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
Shuhuai Ren, Yihe Deng, Kun He and Wanxiang Che

Modeling financial analysts’ decision making via the pragmatics and semantics of earnings calls
Katherine Keith and Amanda Stent

Dialogue Natural Language Inference
Sean Welleck, Jason Weston, Arthur Szlam and Kyunghyun Cho

Budgeted Policy Learning for Task-Oriented Dialogue Systems
Zhirui Zhang, Xiujun Li, Jianfeng Gao and Enhong Chen

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Ruidan He, Wee Sun Lee, Hwee Tou Ng and Daniel Dahlmeier

Extracting Symptoms and their Status from Clinical Conversations
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen and Izhak Shafran

Comparison of Diverse Decoding Methods from Conditional Language Models
Daphne Ippolito, Reno Kriz, Joao Sedoc, Maria Kustikova and Chris Callison-Burch

Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View
Renfen Hu, Shen Li and Shichen Liang

Retrieval-Enhanced Adversarial Training for Neural Response Generation
Qingfu Zhu, Lei Cui, Wei-Nan Zhang, Furu Wei and Ting Liu

Argument Invention from First Principles
Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron and Noam Slonim

ERNIE: Enhanced Language Representation with Informative Entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun and Qun Liu

Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers and Ido Dagan

Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang and Jie Tang

Knowledge-aware Pronoun Coreference Resolution
Hongming Zhang, Yan Song, Yangqiu Song and Dong Yu

Unsupervised Question Answering by Cloze Translation
Patrick Lewis, Ludovic Denoyer and Sebastian Riedel

SP-10K: A Large-scale Evaluation Set for Selectional Preference Acquisition
Hongming Zhang, Hantian Ding and Yangqiu Song

Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation
Cao Liu, Shizhu He, Kang Liu and Jun Zhao

Complex Question Decomposition for Semantic Parsing
Haoyu Zhang, Jingjing Cai, Jianjun Xu and Ji Wang

A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
Dominik Schlechtweg, Anna Hätty, Marco Del Tredici and Sabine Schulte im Walde

Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances
Diane Bouchacourt and Marco Baroni

Detecting Subevents using Discourse and Narrative Features
Mohammed Aldawsari and Mark Finlayson

Sentence Centrality Revisited for Unsupervised Summarization
Hao Zheng and Mirella Lapata

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher and Pascale Fung

Errudite: Scalable, Reproducible, and Testable Error Analysis
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer and Daniel Weld

Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
Yair Feldman and Ran El-Yaniv

Towards Understanding Linear Word Analogies
Kawin Ethayarajh, David Duvenaud and Graeme Hirst

Multilingual and Cross-Lingual Graded Lexical Entailment
Ivan Vulić, Simone Paolo Ponzetto and Goran Glavaš

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion
Elena Voita, Rico Sennrich and Ivan Titov

The Language of Legal and Illegal Activity on the Darknet
Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem and Omri Abend

What Kind of Language Is Hard to Language-Model?
Sebastian J. Mielke, Ryan Cotterell, Kyle Gorman, Brian Roark and Jason Eisner

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading
Victor Zhong and Luke Zettlemoyer

Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains
Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer, Elisabeth Bauer, Martin R. Fischer, Frank Fischer and Iryna Gurevych

What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations
Verónica Pérez-Rosas, Xinyi Wu, Kenneth Resnicow and Rada Mihalcea

A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction
Mengjie Zhao and Hinrich Schütze

LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories
Ignacio Iacobacci and Roberto Navigli

Word-order biases in deep-agent emergent communication
Rahma Chaabouni, Evgeny Kharitonov, Alessandro Lazaric, Emmanuel Dupoux and Marco Baroni

Generating Question-Answer Hierarchies
Kalpesh Krishna and Mohit Iyyer

A Compact and Language-Sensitive Multilingual Translation Method
Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu and Chengqing Zong

Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction
Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano and Junji Tomita

Discourse Representation Parsing for Sentences and Documents
Jiangming Liu, Shay B. Cohen and Mirella Lapata

Enhance Topic-to-Essay Generation with External Commonsense Knowledge
Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu and Xu SUN

Entity-Relation Extraction as Multi-Turn Question Answering
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou and Jiwei Li

Robust Neural Machine Translation with Doubly Adversarial Inputs
Yong Cheng, Lu Jiang and Wolfgang Macherey

Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference
Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme and Alexander Rush

Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
Hongyin Luo, Lan Jiang, Yonatan Belinkov and James Glass

A Corpus for Reasoning About Natural Language Grounded in Photographs
Alane Suhr, Stephanie Zhou, Ally Zhang, Iris Zhang, Huajun Bai and Yoav Artzi

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu and Xuanjing Huang

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh and Kenneth Kwok

Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen and Shikun Zhang

Topic-Aware Neural Keyphrase Generation for Social Media Language
Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu and Shuming Shi

Multi-hop reading comprehension across multiple documents by reasoning over heterogeneous graphs
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He and Bowen Zhou

Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning
Yaojie Lu, Hongyu Lin, Xianpei Han and Le Sun

Neural Relation Extraction for Knowledge Base Enrichment
Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi and Rui Zhang

Visually Grounded Neural Syntax Acquisition
Haoyue Shi, Jiayuan Mao, Kevin Gimpel and Karen Livescu

Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data
Moonsu Han, Minki Kang, Hyunwoo Jung and Sung Ju Hwang

On the Robustness of Self-Attentive Models
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, wei wei, Wen-Lian Hsu and Cho-Jui Hsieh

Multimodal Transformer for Unaligned Multimodal Language Sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency and Ruslan Salakhutdinov

Joint Type Inference on Entities and Relations via Graph Convolutional Networks
Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun and Nan Duan

Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction
Debela Gemechu and Chris Reed

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu and Wei Xu

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension
An Yang, Quan Wang, Jing Liu, KAI LIU, Yajuan Lyu, Hua Wu, Qiaoqiao She and Sujian Li

Learning Transferable Feature Representations Using Neural Networks
Himanshu Sharad Bhatt, Shourya Roy, Arun Rajkumar and Sriranjani Ramakrishnan

Understanding Undesirable Word Embedding Associations
Kawin Ethayarajh, David Duvenaud and Graeme Hirst

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction
Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie and Houfeng WANG

Towards Fine-grained Text Sentiment Transfer
Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui and Xu SUN

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria and Rada Mihalcea

Inducing Document Structure for Aspect-based Summarization
Lea Frermann and Alexandre Klementiev

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li and Maosong Sun

Shared-Private Bilingual Word Embeddings for Neural Machine Translation
Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao and Jingbo Zhu

Relation Embedding with Dihedral Group in Knowledge Graph
Canran Xu and Ruijiang Li

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network
Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang and Guodong Zhou

On-device Structured and Context Partitioned Projection Networks
Sujith Ravi and Zornitsa Kozareva

Multi-grained Named Entity Recognition
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma and Philip Yu

What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues
Yu Qin and Yi Yang

Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation
Viktor Hangya and Alexander Fraser

Empirical Linguistic Study of Sentence Embeddings
Katarzyna Krasnowska-Kieraś and Alina Wróblewska

Multilingual Factor Analysis
Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis and Nils Hammerla

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan and Jiwei Li

Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
Yifan Gao, Piji Li, Irwin King and Michael R. Lyu

A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman and Idan Szpektor

Data-to-text Generation with Entity Modeling
Ratish Puduppully, Li Dong and Mirella Lapata

DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou and Maosong Sun

Text Categorization by Learning Predominant Sense of Words as Auxiliary Task
Kazuya Shimura, Jiyi Li and Fumiyo Fukumoto

Attention Guided Graph Convolutional Networks for Relation Extraction
Zhijiang Guo, Yan Zhang and Wei Lu

Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita and Tiejun Zhao

XQA: A Cross-lingual Open-domain Question Answering Dataset
Jiahua Liu, Yankai Lin, Zhiyuan Liu and Maosong Sun

MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension
Alon Talmor and Jonathan Berant

Proactive Human-Machine Conversation with Explicit Conversation Goal
Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian and Haifeng Wang

Neural Machine Translation with Reordering Embeddings
Kehai Chen, Rui Wang, Masao Utiyama and Eiichiro Sumita

Cross-Lingual Training for Automatic Question Generation
vishwajeet kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan and Preethi Jyothi

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification
Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li and Yiwei Lv

BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization
Kai Wang, Xiaojun Quan and Rui Wang

Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies
Shuhei Kurita and Anders Søgaard

GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling
Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen and Jie Zhou

Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
Jiazhan Feng, Chongyang Tao, wei wu, Yansong Feng, Dongyan Zhao and Rui Yan

Hierarchical Transformers for Multi-Document Summarization
Yang Liu and Mirella Lapata

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
Chen Wu, Xuancheng Ren, Fuli Luo and Xu SUN

GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
Tsu-Jui Fu, Peng-Hsuan Li and Wei-Yun Ma

Learning to Abstract for Memory-augmented Conversational Response Generation
Zhiliang Tian, Wei Bi, Xiaopeng Li and Nevin L. Zhang

FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms
Henry Moss, Andrew Moore, David Leslie and Paul Rayson

Transfer Capsule Network for Aspect Level Sentiment Classification
Zhuang Chen and Tieyun Qian

Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References
Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao and Rui Yan

Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums
Zi Chai, Xinyu Xing, Xiaojun Wan and Bo Huang

Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation
Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li and Yanghua Xiao

Simple and Effective Text Matching with Richer Alignment Features
Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji and Haiqing Chen

Semantic Parsing with Dual Learning
Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li and Kai Yu

ChID: A Large-scale Chinese IDiom Dataset for Cloze Test
Chujie Zheng, Minlie Huang and Aixin Sun

Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation
Bram Bulte and Arda Tezcan

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, GUY MOSHKOWICH, Ranit Aharonov and Noam Slonim

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
Yunsu Kim, Yingbo Gao and Hermann Ney

Towards Explainable NLP: A Generative Explanation Framework for Text Classification
Hui Liu, Qingyu Yin and William Yang Wang

Automatic Evaluation of Local Topic Quality
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan Boyd-Graber and Kevin Seppi

Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text
Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake and Marius Kloft

Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection
Maria Corkery, Yevgen Matusevych and Sharon Goldwater

SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
Martin Schmitt and Hinrich Schütze

Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards
Hou Pong Chan, Wang Chen, Lu Wang and Irwin King

#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media
Arijit Ghosh Chowdhury, Ramit Sawhney, Rajiv Ratn Shah and Debanjan Mahata

Generating Question Relevant Captions to Aid Visual Question Answering
Jialin Wu, Zeyuan Hu and Raymond Mooney

Improving the Robustness of Question Answering Systems to Question Paraphrasing
Wee Chung Gan and Hwee Tou Ng

Continual and Multi-Task Architecture Search
Ramakanth Pasunuru and Mohit Bansal

Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
Max Friedrich, Arne Köhn, Gregor Wiedemann and Chris Biemann

Crowdsourcing and Aggregating Nested Markable Annotations
Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun and Massimo Poesio

ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification
Wei Jia, Dai Dai, Xinyan Xiao and Hua Wu

The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue
Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni and Raquel Fernández

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das and William Cohen

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou and Xu SUN

Sparse Sequence-to-Sequence Models
Ben Peters, Vlad Niculae and André F. T. Martins

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Deepak Nathani, Jatin Chauhan, Charu Sharma and Manohar Kaul

Morphological Irregularity Correlates with Frequency
Shijie Wu, Ryan Cotterell and Timothy O'Donnell

On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings
Abhik Jana, Dima Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann and Animesh Mukherjee

Robust Representation Learning of Biomedical Names
Minh C. Phan, Aixin Sun and Yi Tay

Semantic expressive capacity with bounded memory
Antoine Venant and Alexander Koller

Abstractive text summarization based on deep learning and semantic content generalization
Panagiotis Kouris, Georgios Alexandridis and Andreas Stafylopatis

Pretraining Methods for Dialog Context Representation Learning
Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao and Maxine Eskenazi

CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech
Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu and Marco Guerini

Correlating neural and symbolic representations of language
Grzegorz Chrupała and Afra Alishahi

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich and Ivan Titov

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
Yichen Jiang, Nitish Joshi, Yen-Chun Chen and Mohit Bansal

Low-resource Deep Entity Resolution with Transfer and Active Learning
Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li and Lucian Popa

A Large-Scale Corpus for Conversation Disentanglement
Jonathan K. Kummerfeld, Sai R. Gouravajhala, Joseph J. Peper, Vignesh Athreya, Chulaka Gunasekara, Jatin Ganhotra, Siva Sankalp Patel, Lazaros C Polymenakos and Walter Lasecki

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction
Jiaji Huang, Qiang Qiu and Kenneth Church

A Cross-Domain Transferable Neural Coherence Model
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao and Jackie Chi Kit Cheung

Zero-Shot Entity Linking by Reading Entity Descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin and Honglak Lee

Detecting Concealed Information in Text and Speech
Shengli Hu

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings
Sawan Kumar, Sharmistha Jat, Karan Saxena and Partha Talukdar

Unsupervised Neural Text Simplification
Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain and Karthik Sankaranarayanan

Self-Supervised Dialogue Learning
Jiawei Wu, Xin Wang and William Yang Wang

Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge
Ziran Li, Ning Ding, Zhiyuan Liu, Haitao Zheng and Ying Shen

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas Mccoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick and Samuel R. Bowman

Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming
Caio Corro and Ivan Titov

Evidence-based Trustworthiness
Yi Zhang, Zachary Ives and Dan Roth

ELI5: Long Form Question Answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston and Michael Auli

Fine-Grained Temporal Relation Extraction
Siddharth Vashishtha, Benjamin Van Durme and Aaron Steven White

Distant Learning for Entity Linking with Automatic Noise Detection
Phong Le and Ivan Titov

AMR Parsing as Sequence-to-Graph Transduction
Sheng Zhang, Xutai Ma, Kevin Duh and Benjamin Van Durme

Boosting Entity Linking Performance by Leveraging Unlabeled Documents
Phong Le and Ivan Titov

Gender-preserving Debiasing for Pre-trained Word Embeddings
Masahiro Kaneko and Danushka Bollegala

Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
Bidisha Samanta, Niloy Ganguly and Soumen Chakrabarti

Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis
Jialong Tang, Ziyao Lu, Jinsong SU, Yubin Ge, Linfeng Song, Le Sun and Jiebo Luo

End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories
Rui Mao, Chenghua Lin and Frank Guerin

Like a Baby: Visually Situated Neural Language Acquisition
Alexander Ororbia, Ankur Mali, Matthew Kelly and David Reitter

Learning to Discover, Ground and Use Words with Segmental Neural Language Models
Kazuya Kawakami, Chris Dyer and Phil Blunsom

Relational Word Embeddings
Jose Camacho-Collados, Luis Espinosa Anke and Steven Schockaert

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le and Ruslan Salakhutdinov

Optimal Transport-based Alignment of Learned Character Representations for String Similarity
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das and Andrew McCallum

Exploring Pre-trained Language Models for Event Extraction and Generation
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan and Dongsheng Li

What should I ask? Using conversationally informative rewards for goal-oriented visual dialog.
pushkar shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk and William Yang Wang

Syntax-Infused Variational Autoencoder for Text Generation
Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen and Lawrence Carin

Generating Logical Forms from Graph Representations of Text and Entities
Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno and Yasemin Altun

Interpretable Neural Predictions with Differentiable Binary Variables
Joost Bastings, Wilker Aziz and Ivan Titov

RankQA: Neural Question Answering with Answer Re-Ranking
Bernhard Kratzwald, Anna Eigenmann and Stefan Feuerriegel

Self-Regulated Interactive Sequence-to-Sequence Learning
Julia Kreutzer and Stefan Riezler

Symbolic inductive bias for visually grounded learning of spoken language
Grzegorz Chrupała

Merge and Label: A novel neural network architecture for nested NER
Joseph Fisher and Andreas Vlachos

Classification and Clustering of Arguments with Contextualized Word Embeddings
Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab and Iryna Gurevych

A Spreading Activation Framework for Tracking Conceptual Complexity of Texts
Ioana Hulpuș, Sanja Štajner and Heiner Stuckenschmidt

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
Tom McCoy, Ellie Pavlick and Tal Linzen

Bridging the Gap between Training and Inference for Neural Machine Translation
Wen Zhang, Yang Feng, Fandong Meng, Di You and Qun Liu

Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller and Iryna Gurevych

A Simple Theoretical Model of Importance for Summarization
Maxime Peyrard

Relating Simple Sentence Representations in Deep Neural Networks and the Brain
Sharmistha Jat, Hao Tang, Partha Talukdar and Tom Mitchell

Spatial Aggregation Facilitates Discovery of Spatial Topics
Aniruddha Maiti and Slobodan Vucetic

Argument Generation with Retrieval, Planning, and Realization
Xinyu Hua, Zhe Hu and Lu Wang

Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations
Jiatao Gu, Yong Wang, Kyunghyun Cho and Victor O.K. Li

The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers
Agnieszka Falenska and Jonas Kuhn

Strategies for Structuring Story Generation
Angela Fan, Mike Lewis and Yann Dauphin

Learning Compressed Sentence Representations for On-Device Text Processing
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz and Lawrence Carin

Multi-task Pairwise Neural Ranking for Hashtag Segmentation
Mounica Maddela, Wei Xu and Daniel Preoţiuc-Pietro

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao and Lawrence Carin

Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning
Nicole Mirea and Klinton Bicknell

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
Jie Cao, Michael Tanana, Zac Imel, Eric Poitras, David Atkins and Vivek Srikumar

Entity-Centric Contextual Affective Analysis
Anjalie Field and Yulia Tsvetkov

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
Zhe Gan, Yu Cheng, Ahmed Kholy, Linjie Li, Jingjing Liu and Jianfeng Gao

Lattice Transformer for Speech Translation
Pei Zhang, Niyu Ge, Boxing Chen and Kai Fan

Generalized Data Augmentation for Low-Resource Translation
Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos and Graham Neubig

Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense Disambiguation
Daniel Loureiro and Alípio Jorge

Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre and Hinrich Schütze

Multi-Task Learning for Coherence Modeling
Youmna Farag and Helen Yannakoudakis

One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues
Chongyang Tao, wei wu, Can Xu, Wenpeng Hu, Dongyan Zhao and Rui Yan

Disentangled Representation Learning for Non-Parallel Text Style Transfer
Vineet John, Lili Mou, Hareesh Bahuleyan and Olga Vechtomova

HighRES: Highlight-based Reference-less Evaluation of Summarization
Hardy Hardy, Shashi Narayan and Andreas Vlachos

Unraveling Antonym's Word Vectors through a Siamese-like Network
Mathias Etcheverry and Dina Wonsever

Latent Retrieval for Weakly Supervised Open Domain Question Answering
Kenton Lee, Ming-Wei Chang and Kristina Toutanova

Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models
Takashi Wada, Tomoharu Iwata and Yuji Matsumoto

Improving Textual Network Embedding with Global Attention via Optimal Transport
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang and Lawrence Carin

Sentiment Tagging with Partial Labels using Modular Architectures
Xiao Zhang and Dan Goldwasser

Open Domain Event Extraction Using Neural Latent Variable Models
Xiao Liu, Heyan Huang and Yue Zhang

Choosing Transfer Languages for Cross-Lingual Learning
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell and Graham Neubig

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein and Ryan Cotterell

Informative Image Captioning with External Sources of Information
Sanqiang Zhao, Piyush Sharma, Tomer Levinboim and Radu Soricut

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
Hongyu Lin, Yaojie Lu, Xianpei Han and Le Sun

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui and Aston Zhang

Neural Network Alignment for Sentential Paraphrases
Jessica Ouyang and Kathy McKeown

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram and M Saiful Bari

Literary Event Detection
Matthew Sims, Jong Ho Park and David Bamman

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra and Devi Parikh

Syntactically Supervised Transformers for Faster Neural Machine Translation
Nader Akoury, Kalpesh Krishna and Mohit Iyyer

Duality of Link Prediction and Entailment Graph Induction
Mohammad Javad Hosseini, Shay B. Cohen, Mark Johnson and Mark Steedman

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu and Siu Cheung Hui

Sentence-Level Evidence Embedding for Claim Verification with Hierarchical Attention Networks
Jing Ma, Wei Gao, Shafiq Joty and Kam-Fai Wong

Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction
Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin and Debasis Ganguly

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
Hannah Rashkin, Eric Michael Smith, Margaret Li and Y-Lan Boureau

Predicting Human Activities from User-Generated Content
Steven Wilson and Rada Mihalcea

Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title
Huimin Xu, Wenting Wang, Xin Mao, Xinyu Jiang and Man Lan

Multi-hop Reading Comprehension through Question Decomposition and Rescoring
Sewon Min, Victor Zhong, Luke Zettlemoyer and Hannaneh Hajishirzi

Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li and Jie Zhou

Matching the Blanks: Distributional Similarity for Relation Learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling and Tom Kwiatkowski

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation
Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie and Jason Baldridge

Compound Probabilistic Context-Free Grammars for Grammar Induction
Yoon Kim, Chris Dyer and Alexander Rush

Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization
Hai Ye, Wenjie Li and Lu Wang

Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units
Arturo Argueta and David Chiang

Combining Knowledge Hunting and Neural Language Models to Solve the Winograd Schema Challenge
Ashok Prakash, Arpit Sharma, Arindam Mitra and Chitta Baral

HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
Xingxing Zhang, Furu Wei and Ming Zhou

Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen and Jianfeng Gao

DisSent: Learning Sentence Representations from Explicit Discourse Relations
Allen Nie, Erin Bennett and Noah Goodman

Massively Multilingual Transfer for NER
Afshin Rahimi, Yuan Li and Trevor Cohn

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz and Yejin Choi

Unsupervised Pivot Translation for Distant Languages
Yichong Leng, Xu Tan, Tao QIN, Xiang-Yang Li and Tie-Yan Liu

CogNet: a Large-Scale Cognate Database
Khuyagbaatar Batsuren, Gabor Bella and Fausto Giunchiglia

Semi-supervised Stochastic Multi-Domain Learning using Variational Inference
Yitong Li, Timothy Baldwin and Trevor Cohn

Tree Communication Models for Sentiment Analysis
Yuan Zhang and Yue Zhang

Dynamically Composing Domain-Data Selection with Clean-Data Selection by ``Co-Curricular Learning" for Neural Machine Translation
Wei Wang, Isaac Caswell and Ciprian Chelba

Modeling affirmative and negated action processing in the brain with lexical and compositional semantic models
Vesna Djokic, Jean Maillard, Luana Bulat and Ekaterina Shutova

Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models
Xiaolei Huang and Michael J. Paul

Careful Selection of Knowledge to solve Open Book Question Answering
Pratyay Banerjee, Kuntal Kumar Pal, Arindam Mitra and Chitta Baral

Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations
Sumeet Kumar and Kathleen Carley

Learning to Select, Track, and Generate for Data-to-Text
Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji ARAMAKI, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki and Hiroya Takamura

Scoring Sentence Singletons and Pairs for Abstractive Summarization
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang and Fei Liu

SParC: Cross-Domain Semantic Parsing in Context
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher and Dragomir Radev

Scalable Syntax-Aware Language Models Using Knowledge Distillation
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark and Phil Blunsom

HellaSwag: Can a Machine Really Finish Your Sentence?
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi and Yejin Choi

Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
David Gaddy and Dan Klein

Multi-Relational Script Learning for Discourse Relations
I-Ta Lee and Dan Goldwasser

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh and Jackie Chi Kit Cheung

Deep Neural Model Inspection and Comparison via Functional Neuron Pathways
James Fiacco, Samridhi Choudhary and Carolyn Rose

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
Peng Wu, Shujian Huang, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan and Jiajun CHEN

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya and Partha Talukdar

Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling
Nasser Zalmout and Nizar Habash

Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning
Zhihao Fan, Zhongyu Wei, Siyuan Wang and Xuanjing Huang

Assessing the Ability of Self-Attention Networks to Learn Word Order
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao and Zhaopeng Tu

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
Ali Emami, Paul TRICHELAIR, Adam Trischler, Kaheer Suleman, Hannes Schulz and Jackie Chi Kit Cheung

Reinforced Dynamic Reasoning for Conversational Question Generation
Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai and Huan Sun

StRE: Self Attentive Edit Quality Prediction in Wikipedia
Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar and Animesh Mukherjee

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh and Fei Liu

Dynamically Fused Graph Network for Multi-hop Reasoning
Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang and Yong Yu

On the Word Alignment from Neural Machine Translation
Xintong Li, Guanlin Li, Lemao Liu, Max Meng and Shuming Shi

Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Report
Baoyu Jing, Zeya Wang and Eric Xing

The Linguistic Development of Mental Health Counselors
Justine Zhang, Robert Filbin, Christine Morrison, Jaclyn Weiser and Cristian Danescu-Niculescu-Mizil

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea and Soujanya Poria

Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG
Shereen Oraby, Vrindavan Harrison, Abteen Ebrahimi and Marilyn Walker

Variational Pretraining for Semi-supervised Text Classification
Suchin Gururangan, Tam Dang, Dallas Card and Noah A. Smith

Imitation Learning for Non-Autoregressive Neural Machine Translation
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin and Xu SUN

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
Xinyu Wang, Jingxian Huang and Kewei Tu

Automated Chess Commentator Powered by Neural Chess Engine
Hongyu Zang, Zhiwei Yu and Xiaojun Wan

Domain Adaptive Dialog Generation via Meta Learning
Kun Qian and Zhou Yu

Cross-Sentence Grammatical Error Correction
Shamil Chollampatt, Weiqi Wang and Hwee Tou Ng

Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Zhiyuan Liu and Jie Tang

Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors
Shoaib Jameel and Steven Schockaert

Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA
Yichen Jiang and Mohit Bansal

TWEETQA: A Social Media Focused Question Answering Dataset
Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang

Is Attention Interpretable?
Sofia Serrano and Noah A. Smith

Exploiting Explicit Paths for Multi-hop Reading Comprehension
Souvik Kundu, Tushar Khot, Ashish Sabharwal and Peter Clark

Incorporating Priors with Feature Attribution on Text Classification
Frederick Liu and Besim Avci

Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong and Richard Socher

Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation
Benjamin Heinzerling and Michael Strube

Multimodal and Multi-view Models for Emotion Recognition
Gustavo Aguilar, Viktor Rozgic, Weiran Wang and Chao Wang

Learning How to Active Learn by Dreaming
Thuy-Trang Vu, Ming Liu, Dinh Phung and Gholamreza Haffari

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections
Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick and Graham Neubig

Handling Domain Shift in Coreference Evaluation by Using Automatically Extracted Minimum Spans
Nafise Sadat Moosavi, Leo Born, Massimo Poesio and Michael Strube

Interpretable Question Answering on Knowledge Bases and Text
Alona Sydorova, Nina Poerner and Benjamin Roth

Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts
Elizabeth Clark, Asli Celikyilmaz and Noah A. Smith

Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment
Siqi Bao, Huang He, Fan Wang, Rongzhong Lian and Hua Wu

DeepSentiPeer: Harnessing Sentiment in Review Texts To Recommend Peer Review Decisions
Tirthankar Ghosal, Rajeev Verma, Asif Ekbal and Pushpak Bhattacharyya

Unified Semantic Parsing with Weak Supervision
Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish Mittal and Karthik Sankaranarayanan

How Large Are Lions? Inducing Distributions over Quantitative Attributes
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss and Dan Roth

Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi, Bhuwan Dhingra and Zachary C. Lipton

Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling
Robert Logan, Nelson F. Liu, Matthew E. Peters, Matt Gardner and Sameer Singh

Unsupervised Learning of PCFGs with Normalizing Flow
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz and William Schuler

Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang LOU, Ting Liu and Dongmei Zhang

Variance of average surprisal: a better predictor for quality of grammar from unsupervised PCFG induction
Lifeng Jin and William Schuler

Training Neural Response Selection for Task-Oriented Dialogue Systems
Matthew Henderson, Ivan Vulić, Daniela Gerz, Iñigo Casanueva, Paweł Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić and Pei-Hao Su

Cross-Domain NER using Cross-Domain Language Modeling
Chen Jia, Xiaobo Liang and Yue Zhang

Improving Multi-turn Dialogue Modelling with Utterance ReWriter
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu and Jie Zhou

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Christoph Alt, Marc Hübner and Leonhard Hennig

Controllable Paraphrase Generation with a Syntactic Exemplar
Mingda Chen, Qingming Tang, Sam Wiseman and Kevin Gimpel

Collaborative Dialogue in Minecraft
Anjali Narayan-Chen, Prashant Jayannavar and Julia Hockenmaier

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi and Jianfeng Gao

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria and Min Yang

Decomposable Neural Paraphrase Generation
Zichao Li, Xin Jiang, Lifeng Shang and Qun Liu

Incorporating Linguistic Constraints into Keyphrase Generation
Jing Zhao and Yuxiang Zhang

Few-Shot Representation Learning for Out-Of-Vocabulary Words
Ziniu Hu, Ting Chen, Kai-Wei Chang and Yizhou Sun

An automated framework for fast cognate detection and Bayesian phylogenetic inference in computational historical linguistics
Taraka Rama and Johann-Mattis List

Determining Relative Argument Specificity and Stance for Complex Argumentative Structures
Esin Durmus, Faisal Ladhak and Claire Cardie

Learning Morphosyntactic Analyzers from the Bible via Iterative Annotation Projection across 26 Languages
Garrett Nicolai and David Yarowsky

Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder
Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie and Michele Banko

Fine-Grained Sentence Functions for Short-Text Conversation
Wei Bi, Jun Gao, Xiaojiang Liu and Shuming Shi

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov and Noam Slonim

Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz, Ruoming Pang, Wei Li and Colin Raffel

Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
Étienne Simon, Vincent Guigue and Benjamin Piwowarski

Soft Representation Learning for Sparse Transfer
Haeju Park, Jinyoung Yeo, Gengyu Wang and Seung-won Hwang

Word2Sense: Sparse Interpretable Word Embeddings
Abhishek Panigrahi, Harsha Vardhan Simhadri and Chiranjib Bhattacharyya

Domain Adaptation of Neural Machine Translation by Lexicon Induction
Junjie Hu, Mengzhou Xia, Graham Neubig and Jaime Carbonell

EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition
Subhradeep Kayal and George Tsatsaronis

Multi-task Learning with Task, Group, and Universe Feature Learning
Shiva Pentyala, Mengwen Liu and Markus Dreyer

Automatically Identifying Complaints in Social Media
Daniel Preoţiuc-Pietro, Mihaela Gaman and Nikolaos Aletras

Matching Article Pairs with Graphical Decomposition and Convolutions
Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai and Yu Xu

Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B
Jiaming Luo, Yuan Cao and Regina Barzilay

Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning
Shuai Tang and Virginia R. de Sa

Neural Response Generation with Meta-words
Can Xu, wei wu, Chongyang Tao, Huang Hu, Matt Schuerman and Ying Wang

Towards Comprehensive Description Generation from Factual Attribute-value Tables
Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang and Zhifang Sui

Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts
Alakananda Vempala and Daniel Preoţiuc-Pietro

Expressing Visual Relationships via Language
Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui and Mohit Bansal

Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention
Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen and Weihua Luo

Beyond BLEU:Training Neural Machine Translation with Semantic Similarity
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel and Graham Neubig

Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Xuewei Wang, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang and Zhou Yu

Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces
Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley and Graham Neubig

Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue
Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White and Rajen Subba

Quantifying Similarity between Relations with Fact Distribution
Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu and Maosong Sun

An Effective Approach to Unsupervised Machine Translation
Mikel Artetxe, Gorka Labaka and Eneko Agirre

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser and Tim Rocktäschel

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Hung Le, Doyen Sahoo, Nancy Chen and Steven Hoi

Graph-based Dependency Parsing with Graph Neural Networks
Tao Ji, Yuanbin Wu and Man Lan

You Write Like You Eat: Stylistic Variation as a Predictor of Social Stratification
Angelo Basile, Albert Gatt and Malvina Nissim

Transforming Complex Sentences into a Semantic Hierarchy
Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh

Global Optimization under Length Constraint for Neural Text Summarization
Takuya Makino, Tomoya Iwakura, Hiroya Takamura and Manabu Okumura

Latent Variable Sentiment Grammar
Liwen Zhang, Kewei Tu and Yue Zhang

Wide-Coverage Neural A* Parsing for Minimalist Grammars
John Torr, Milos Stanojevic, Mark Steedman and Shay B. Cohen

Enhancing Unsupervised Generative Dependency Parser with Contextual Information
Wenjuan Han, Yong Jiang and Kewei Tu

Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts
Jong-Hoon Oh, Kazuma Kadowaki, Julien Kloetzer, Ryu Iida and Kentaro Torisawa

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
Rui Xia and Zixiang Ding

Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis
Junyi Du, He Jiang, Jiaming Shen and Xiang Ren

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi and Dominik Schlechtweg

Language Modeling with Shared Grammar
Yuyu Zhang and Le Song

Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System
Hardik Chauhan, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya

Improving Neural Conversational Models with Entropy-Based Data Filtering
Richárd Csáky, Patrik Purgai and Gábor Recski

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Ning Dai, Jianze Liang, Xipeng Qiu and Xuanjing Huang

Distilling Translations with Visual Awareness
Julia Ive, Pranava Madhyastha and Lucia Specia

Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media
Chang Li and Dan Goldwasser

Reference Network for Neural Machine Translation
Han Fu, Chenghao Liu and Jianling Sun

Target-Guided Open-Domain Conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric Xing and Zhiting Hu

Mitigating Gender Bias in Natural Language Processing: Literature Review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang and William Yang Wang

VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions
Pranava Madhyastha, Josiah Wang and Lucia Specia

Searching for Effective Neural Extractive Summarization: What Works and What’s Next
Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu and Xuanjing Huang

Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays
Zixuan Ke, Hrishikesh Inamdar, Hui Lin and Vincent Ng

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen and Jie Zhou

Modeling Semantic Compositionality with Sememe Knowledge
Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu and Maosong Sun

Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
Vihari Piratla, Sunita Sarawagi and Soumen Chakrabarti

Learning to Ask Unanswerable Questions for Machine Reading Comprehension
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin and Ting Liu

Graph Neural Networks with Generated Parameters for Relation Extraction
Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua and Maosong Sun

A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining
Shweta Yadav, Asif Ekbal, Sriparna Saha and Pushpak Bhattacharyya

Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
Suyoun Kim, Siddharth Dalmia and Florian Metze

A Lightweight Recurrent Network for Sequence Modeling
Biao Zhang and Rico Sennrich

STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework
Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu and Haifeng Wang

Generating Sentences from Disentangled Syntactic and Semantic Spaces
Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, XIN-YU DAI and Jiajun CHEN

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)
Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi and Hannaneh Hajishirzi

Multi-Channel Graph Neural Network for Entity Alignment
Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li and Tat-Seng Chua

Short Papers (Main Conference)

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Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing
yuanchao liu

Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection
Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks and Cecile Paris

Better Exploiting Latent Variables in Text Modeling
Canasai Kruengkrai

Crowdsourcing and Validating Event-focused Emotion Corpora for German and English
Enrica Troiano, Sebastian Padó and Roman Klinger

Hierarchical Transfer Learning for Multi-label Text Classification
Siddhartha Banerjee, Cem Akkaya, Francisco Perez-Sorrosal and Kostas Tsioutsiouliklis

Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization
Manling Li, Lingyu Zhang, Heng Ji and Richard J. Radke

Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation
Francine Chen and Yan-Ying Chen

SemBleu: A Robust Metric for AMR Parsing Evaluation
Linfeng Song and Daniel Gildea

Look Harder: A Neural Machine Translation Model with Hard Attention
Sathish Reddy Indurthi, Insoo Chung and Sangha Kim

Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation
Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell and Kate Saenko

Robust Neural Machine Translation with Joint Textual and Phonetic Embedding
Hairong Liu, Mingbo Ma, Liang Huang, hao xiong and Zhongjun He

The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
Fei Liu, Luke Zettlemoyer and Jacob Eisenstein

A Neural Multi-digraph Model for Chinese NER with Gazetteers
Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li and Luo Si

Neural Architectures for Nested NER through Linearization
Jana Straková, Milan Straka and Jan Hajic

Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity Datasets
Nicole Peinelt, Maria Liakata and Dong Nguyen

Bias Analysis and Mitigation in the Evaluation of Authorship Verification
Janek Bevendorff, Matthias Hagen, Benno Stein and Martin Potthast

Self-Supervised Neural Machine Translation
Dana Ruiter, Cristina España-Bonet and Josef van Genabith

Who Sides With Whom? Towards Computational Construction of Discourse Networks for Political Debates
Sebastian Padó, Andre Blessing, Nico Blokker, Erenay Dayanik, Sebastian Haunss and Jonas Kuhn

Visual Story Post-Editing
Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu and Ting-Hao Huang

Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems
Yanyan Zou and Wei Lu

Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments
Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura and Hsin-Hsi Chen

Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski and Armand Joulin

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo and Saloni Potdar

Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment
Goran Glavaš and Ivan Vulić

Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa and Sophia Ananiadou

NNE: A Dataset for Nested Named Entity Recognition in English Newswire
Nicky Ringland, Xiang Dai, Ben Hachey, Sarvnaz Karimi, Cecile Paris and James R. Curran

Misleading Failures of Partial-input Baselines
Shi Feng, Eric Wallace and Jordan Boyd-Graber

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations
Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander Fabbri, William Hu, Neha Verma and Dragomir Radev

Online Infix Probability Computation for Probabilistic Finite Automata
Marco Cognetta, Yo-Sub Han and Soon Chan Kwon

Exact Hard Monotonic Attention for Character-Level Transduction
Shijie Wu and Ryan Cotterell

Soft Contextual Data Augmentation for Neural Machine Translation
Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou and Tie-Yan Liu

How to best use Syntax in Semantic Role Labelling
Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun and Wei Wang

Leveraging Meta Information in Short Text Aggregation
He Zhao, Lan Du, Guanfeng Liu and Wray Buntine

Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference
He Bai, Yu Zhou, Jiajun Zhang and Chengqing Zong

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
Kun Xu, liwei wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang and Dong Yu

A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning
Gonçalo M. Correia and André F. T. Martins

The Risk of Racial Bias in Hate Speech Detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi and Noah A. Smith

Pay attention when you pay the bills. A multilingual corpus with dependency-based and semantic annotation of collocations.
Marcos Garcia, Marcos García Salido, Susana Sotelo Docío, Estela Mosqueira and Margarita Alonso-Ramos

CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks
Roberto Dessì and Marco Baroni

Do you know that Florence is packed with visitors? Evaluating state-of-the-art models of speaker commitment
Nanjiang Jiang and Marie-Catherine de Marneffe

An Imitation Learning Approach to Unsupervised Parsing
Bowen Li, Lili Mou and Frank Keller

Domain Adaptive Inference for Neural Machine Translation
Danielle Saunders, Felix Stahlberg, Adrià de Gispert and Bill Byrne

Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
Mozhi Zhang, Keyulu Xu, Ken-ichi Kawarabayashi, Stefanie Jegelka and Jordan Boyd-Graber

BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
Eva Sharma, Chen Li and Lu Wang

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification
Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin and Xu SUN

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information
Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang and Xu SUN

Learning to Control the Fine-grained Sentiment for Story Ending Generation
Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui and Xu SUN

Reranking for Neural Semantic Parsing
Pengcheng Yin and Graham Neubig

An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing
Zhisong Zhang, Xuezhe Ma and Eduard Hovy

PTB Graph Parsing with Tree Approximation
Yoshihide Kato and Shigeki Matsubara

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
Chinnadhurai Sankar, Sandeep Subramanian, Chris Pal, Sarath Chandar and Yoshua Bengio

Cost-sensitive Regularization for Label Confusion-aware Event Detection
Hongyu Lin, Yaojie Lu, Xianpei Han and Le Sun

Using Human Attention to Extract Keyphrase from Microblog Post
Yingyi Zhang and Chengzhi Zhang

Does It Make Sense And Why A Pilot Study for Sense Making and Explanation
Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li and Tian Gao

Delta Embedding Learning
Xiao Zhang, Ji Wu and Dejing Dou

Personalizing Dialogue Agents via Meta-Learning
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu and Pascale Fung

Fine-Grained Spoiler Detection from Large-Scale Review Corpora
Mengting Wan, Rishabh Misra, Ndapa Nakashole and Julian McAuley

An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese
Enkhbold Bataa and Joshua Wu

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction
Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu and Xu SUN

Better Character Language Modeling Through Morphology
Terra Blevins and Luke Zettlemoyer

Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension
Zhengyuan Liu and Nancy Chen

Data Programming for Learning Discourse Structure
Sonia Badene, Kate Thompson, Jean-Pierre Lorré and Nicholas Asher

Complex Word Identification as a Sequence Labelling Task
Sian Gooding and Ekaterina Kochmar

Annotation and automatic classification of aspectual categories
Markus Egg, Helena Prepens and Will Roberts

Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven and Hung-Yu Kao

Uncovering Probabilistic Implications in Typological Knowledge Bases
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell and Isabelle Augenstein

Recognising Agreement and Disagreement between Stances with Reason Comparing Networks
Chang Xu, Cecile Paris, Surya Nepal and Ross Sparks

Sequence Labeling Parsing by Learning Across Representations
Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez

Confusionset-guided Pointer Networks for Chinese Spelling Check
Dingmin Wang, Yi Tay and Li Zhong

Historical Text Normalization with Delayed Rewards
Simon Flachs, Marcel Bollmann and Anders Søgaard

Multi-grained Attention with Object-level Grounding for Visual Question Answering
Pingping Huang, Jianhui Huang, Yuqing Guo, Min Qiao and Yong Zhu

Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions
Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai and Dongxiang Zhang

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
Ben Bogin, Jonathan Berant and Matt Gardner

Analyzing the limitations of cross-lingual word embedding mappings
Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa and Eneko Agirre

Large Dataset and Language Model Fun-Tuning for Humor Recognition
Vladislav Blinov, Valeria Bolotova-Baranova and Pavel Braslavski

A Working Memory Model for Task-oriented Dialog Response Generation
Xiuyi Chen, Jiaming Xu and Bo Xu

Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting
Jeanne E. Daniel, Willie Brink, Ryan Eloff and Charles Copley

HEAD-QA: A Healthcare Dataset for Complex Reasoning
David Vilares and Carlos Gómez-Rodríguez

A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
Haihong E, Peiqing Niu, Zhongfu Chen and Meina Song

Improving Open Information Extraction via Iterative Rank-Aware Learning
Zhengbao Jiang, Pengcheng Yin and Graham Neubig

Joint Entity Extraction and Assertion Detection for Clinical Text
Parminder Bhatia, Busra Celikkaya and Mohammed Khalilia

Neural News Recommendation with Topic-Aware News Representation
Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang and Xing Xie

Revisiting Low-Resource Neural Machine Translation: A Case Study
Rico Sennrich and Biao Zhang

Putting words in context: LSTM language models and lexical ambiguity
Laura Aina, Kristina Gulordava and Gemma Boleda

Interpolated Spectral NGram Language Models
Ariadna Quattoni and Xavier Carreras

Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
Xinyi Wang and Graham Neubig

Evaluating Discourse in Structured Text Representations
Elisa Ferracane, Greg Durrett, Junyi Jessy Li and Katrin Erk

Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories
Sina Zarrieß and David Schlangen

Corpus-based Check-up for Thesaurus
Natalia Loukachevitch

Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A case for Low-Resource Languages
Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri and Pawan Goyal

Self-Attention Architectures for Answer-Agnostic Neural Question Generation
Thomas Scialom, Benjamin Piwowarski and Jacopo Staiano

Toward Comprehensive Understanding of a Sentiment Based on Human Motives
Naoki Otani and Eduard Hovy

Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark
Nikita Nangia and Samuel R. Bowman

Context-aware Embedding for Targeted Aspect-based Sentiment Analysis
Bin Liang, Jiachen Du, Ruifeng Xu, Binyang Li and Hejiao Huang

Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach
Zonghan Yang, Yong Cheng, Yang Liu and Maosong Sun

Towards Improving Neural Named Entity Recognition with Gazetteers
Tianyu Liu, Jin-Ge Yao and Chin-Yew Lin

Large-Scale Multi-Label Text Classification on EU Legislation
Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis and Ion Androutsopoulos

Celebrity Profiling
Matti Wiegmann, Benno Stein and Martin Potthast

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation
Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight and Jonathan May

Compositional Semantic Parsing Across Graphbanks
Matthias Lindemann, Jonas Groschwitz and Alexander Koller

A2N: Attending to Neighbors for Knowledge Graph Inference
Trapit Bansal, Da-Cheng Juan, Sujith Ravi and Andrew McCallum

You Only Need Attention to Traverse Trees
Mahtab Ahmed, Muhammad Rifayat Samee and Robert E. Mercer

Studying Summarization Evaluation Metrics in the Appropriate Scoring Range
Maxime Peyrard

BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning and Quoc V. Le

Making Fast Graph-based Algorithms with Graph Metric Embeddings
Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann and Alexander Panchenko

Is word segmentation child's play in all languages?
Georgia R. Loukatou, Steven Moran, Damian Blasi, Sabine Stoll and Alejandrina Cristia

Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann and Alexander Panchenko

What does BERT learn about the structure of language?
Ganesh Jawahar, Benoît Sagot and Djamé Seddah

Neural Legal Judgment Prediction in English
Ilias Chalkidis, Ion Androutsopoulos and Nikolaos Aletras

Dual Supervised Learning for Natural Language Understanding and Generation
Shang-Yu Su, Chao-Wei Huang and Yun-Nung Chen

Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates
Shohreh Haddadan, Elena Cabrio and Serena Villata

Unsupervised Paraphrasing without Translation
Aurko Roy and David Grangier

Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks
Anush Kamath, Sparsh Gupta and Vitor Carvalho

Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures
Amir Pouran Ben Veyseh, Thien Huu Nguyen and Dejing Dou

Training Hybrid Language Models by Marginalizing over Segmentations
Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski and Armand Joulin

Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
Claudio Greco, Barbara Plank, Raquel Fernández and Raffaella Bernardi

On the distribution of deep clausal embeddings: a large cross-linguistic study
Damian Blasi, Ryan Cotterell, Lawrence Wolf-Sonkin, Sabine Stoll, Balthasar Bickel and Marco Baroni

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Mikel Artetxe and Holger Schwenk

JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages
Željko Agić and Ivan Vulić

Embedding Imputation with Grounded Language Information
Ziyi Yang, Chenguang Zhu, Vin Sachidananda and Eric Darve

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning
Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos and Miguel Ballesteros

Compositional Questions Do Not Necessitate Multi-hop Reasoning
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi and Luke Zettlemoyer

Boosting Dialog Response Generation
Wenchao Du and Alan W Black

Embedding time expressions for deep temporal ordering models
Tanya Goyal and Greg Durrett

Learning to Rank for Plausible Plausibility
Zhongyang Li, Tongfei Chen and Benjamin Van Durme

Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions
Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim, Jose Echevarria and Thamar Solorio

SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking
Hwaran Lee, Jinsik Lee and Tae-Yoon Kim

Towards Integration of Statistical Hypothesis Tests into Deep Neural Networks
Ahmad Aghaebrahimian and Mark Cieliebak

Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin Seppi and Jordan Boyd-Graber

Synthetic QA Corpora Generation with Roundtrip Consistency
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin and Michael Collins

Attention-based Conditioning Methods for External Knowledge Integration
Katerina Margatina, Christos Baziotis and Alexandros Potamianos

Generating Diverse Translations with Sentence Codes
Raphael Shu, Hideki Nakayama and Kyunghyun Cho

A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings
Chris Sweeney and Maryam Najafian

End-to-end Deep Reinforcement Learning Based Coreference Resolution
Hongliang Fei, Xu Li, Dingcheng Li and Ping Li

Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation
Elizabeth Salesky, Matthias Sperber and Alan W Black

A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition
Ravneet Arora, Chen-Tse Tsai, Ketevan Tsereteli, Prabhanjan Kambadur and Yi Yang

Robust Zero-Shot Cross-Domain Slot Filling with Example Values
Darsh Shah, Raghav Gupta, Amir Fayazi and Dilek Hakkani-Tur

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification
Tu Vu and Mohit Iyyer

Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings
Linh The Nguyen, Linh Van Ngo, Khoat Than and Thien Huu Nguyen

Multimodal Abstractive Summarization for How2 Videos
Shruti Palaskar, Jindřich Libovický, Spandana Gella and Florian Metze

Rumor Detection By Exploiting User Credibility Information, Attention and Multi-task Learning
Quanzhi Li, Qiong Zhang and Luo Si

Deep Unknown Intent Detection with Margin Loss
Ting-En Lin and Hua Xu

A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation
Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan and Chin-Yew Lin

Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico and Yaser Al-Onaizan

BERT Rediscovers the Classical NLP Pipeline
Ian Tenney, Dipanjan Das and Ellie Pavlick

Exploiting Sentential Context for Neural Machine Translation
Xing Wang, Zhaopeng Tu, Longyue Wang and Shuming Shi

Multilingual Constituency Parsing with Self-Attention and Pre-Training
Nikita Kitaev, Steven Cao and Dan Klein

Simple Unsupervised Summarization by Contextual Matching
Jiawei Zhou and Alexander Rush

Women's Syntactic Resilience and Men's Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing
Aparna Garimella, Carmen Banea, Dirk Hovy and Rada Mihalcea

Storyboarding of Recipes: Grounded Contextual Generation
Khyathi Chandu, Eric Nyberg and Alan W Black

Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell, Ananya Ganesh and Andrew McCallum

Depth Growing for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao QIN, Jianhuang Lai and Tie-Yan Liu

Effective Adversarial Regularization for Neural Machine Translation
Motoki Sato, Jun Suzuki and Shun Kiyono

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang

Span-Level Model for Relation Extraction
Kalpit Dixit and Yaser Al-Onaizan

Evaluating Gender Bias in Machine Translation
Gabriel Stanovsky, Noah A. Smith and Luke Zettlemoyer

Learning to Relate from Captions and Bounding Boxes
Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral and Priyatham Bollimpalli

Attention Is (not) All You Need for Commonsense Reasoning
Tassilo Klein and Moin Nabi

How Multilingual is Multilingual BERT?
Telmo Pires, Eva Schlinger and Dan Garrette

Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference
Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan and Iryna Gurevych

Dataset Creation for Ranking Constructive News Comments
Soichiro Fujita, Hayato Kobayashi and Manabu Okumura

Global Textual Relation Embedding for Relational Understanding
Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan and Yu Su

Self-Supervised Learning for Contextualized Extractive Summarization
Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Yang Wang

Unsupervised Joint Training of Bilingual Word Embeddings
Benjamin Marie and Atsushi Fujita

A Just and Comprehensive Strategy for Using NLP to Address Online Abuse
David Jurgens, Libby Hemphill and Eshwar Chandrasekharan

Towards Near-imperceptible Steganographic Text
Falcon Dai and Zheng Cai

Analyzing Linguistic Differences between Owner and Staff Attributed Tweets
Daniel Preoţiuc-Pietro and Rita Devlin Marier

AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing
Xiang Zhang, Shizhu He, Kang Liu and Jun Zhao

Cross-Domain Generalization of Neural Constituency Parsers
Daniel Fried, Nikita Kitaev and Dan Klein

Are Red Roses Red? Evaluating Consistency of Question-Answering Models
Marco Tulio Ribeiro, Carlos Guestrin and Sameer Singh

Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization
Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov and Louis-Philippe Morency

Enhancing Air Quality Prediction with Social Media and Natural Language Processing
Jyun-Yu Jiang, Xue Sun, Wei Wang and Sean Young

Improving Visual Question Answering by Referring to Generated Paragraph Captions
Hyounghun Kim and Mohit Bansal

Putting Evaluation in Context: Contextual Embeddings improve Machine Translation Evaluation
Nitika Mathur, Timothy Baldwin and Trevor Cohn

Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements
Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva and Andy E. Fano

Leveraging Local and Global Patterns for Self-Attention Networks
Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang and Lidia S. Chao

Implicit Discourse Relation Identification for Open-domain Dialogues
Mingyu Derek Ma, Kevin Bowden, Jiaqi Wu, Wen Cui and Marilyn Walker

Sentence-Level Agreement for Neural Machine Translation
Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, eiichiro sumita, Min Zhang and Tiejun Zhao

Negative Lexically Constrained Decoding for Paraphrase Generation
Tomoyuki Kajiwara

Wetin dey with these comments? Modeling Sociolinguistic Factors Affecting Code-switching Behavior in Nigerian Online Discussions
Innocent Ndubuisi-Obi, Sayan Ghosh and David Jurgens

Towards Lossless Encoding of Sentences
Gabriele Prato, Mathieu Duchesneau, Sarath Chandar and Alain Tapp

A Corpus for Modeling User and Language Effects in Argumentation on Online Debating
Esin Durmus and Claire Cardie

The Effectiveness of Simple Hybrid Systems for Hypernym Discovery
William Held and Nizar Habash

Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders
Sukanta Sen, Kamal Kumar Gupta, Asif Ekbal and Pushpak Bhattacharyya

TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks
Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi and David Konopnicki

On the Summarization of Consumer Health Questions
Asma Ben Abacha and Dina Demner-Fushman

Exploring Author Context for Detecting Intended vs Perceived Sarcasm
Silviu Oprea and Walid Magdy

Simple and Effective Paraphrastic Similarity from Parallel Translations
John Wieting, Kevin Gimpel, Graham Neubig and Taylor Berg-Kirkpatrick

Bilingual Lexicon Induction through Unsupervised Machine Translation
Mikel Artetxe, Gorka Labaka and Eneko Agirre

A Surprisingly Robust Trick for the Winograd Schema Challenge
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov and Thomas Lukasiewicz

Large-Scale Transfer Learning for Natural Language Generation
Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov and Thomas Wolf

Better OOV Translation with Bilingual Terminology Mining
Matthias Huck, Viktor Hangya and Alexander Fraser

A Prism Module for Semantic Disentanglement in Name Entity Recognition
Kun Liu, Shen Li, Daqi Zheng, Zhengdong Lu, Sheng Gao and Si Li

A Multi-Task Architecture on Relevance-based Neural Query Translation
Sheikh Muhammad Sarwar, Hamed Bonab and James Allan

Lattice-Based Transformer Encoder for Neural Machine Translation
Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang and Kehai Chen

BERT-based Lexical Substitution
Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei and Ming Zhou

An Empirical Study of Span Representations in Argumentation Structure Parsing
Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki and Kentaro Inui

Collocation Classification with Unsupervised Relation Vectors
Luis Espinosa Anke, Steven Schockaert and Leo Wanner

We need to talk about standard splits
Kyle Gorman and Steven Bedrick

Generating Fluent Adversarial Examples for Natural Languages
Huangzhao Zhang, Hao Zhou, Ning Miao and Lei Li

Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables
Lei Shen, Yang Feng and Haolan Zhan

Generating Summaries with Topic Templates and Structured Convolutional Decoders
Laura Perez-Beltrachini, Yang Liu and Mirella Lapata

Unsupervised Rewriter for Multi-Sentence Compression
Yang Zhao, Xiaoyu Shen, Wei Bi and Akiko Aizawa

Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision
Abiola Obamuyide and Andreas Vlachos

Label-Agnostic Sequence Labeling by Copying Nearest Neighbors
Sam Wiseman and Karl Stratos

Rationally Reappraising ATIS-based Dialogue Systems
Jingcheng Niu and Gerald Penn

Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study
Tao Ge, Xingxing Zhang, Furu Wei and Ming Zhou

Coreference Resolution with Entity Equalization
Ben Kantor and Amir Globerson

Simultaneous Translation with Flexible Policy via Restricted Imitation Learning
Baigong Zheng, Renjie Zheng, Mingbo Ma and Liang Huang

Twitter Homophily: Network Based Prediction of User's Occupation
Jiaqi Pan, Rishabh Bhardwaj, Wei Lu, Hai Leong Chieu, Xinghao Pan and Ni Yi Puay

Exploring Numeracy in Word Embeddings
Aakanksha Naik, Abhilasha Ravichander, Carolyn Rose and Eduard Hovy

MC^2: Multi-perspective Convolutional Cube for Conversational Machine Reading Comprehension
Xuanyu Zhang

Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection
Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou and Zenglin Xu

System Demonstration Papers

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Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language
Mio Arai, Tomonori Kodaira and Mamoru Komachi

SLATE: A Super-Lightweight Annotation Tool for Experts
Jonathan K. Kummerfeld

lingvis.io - A Linguistic Visual Analytics Framework
Mennatallah El-Assady, Wolfgang Jentner, Fabian Sperrle, Rita Sevastjanova, Annette Hautli-Janisz, Miriam Butt and Daniel Keim

SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage
Elizabeth Boschee, Joel Barry, Jayadev Billa, Marjorie Freedman, Thamme Gowda, Constantine Lignos, Chester Palen-Michel, Michael Pust, Banriskhem Kayang Khonglah, Srikanth Madikeri, Jonathan May and Scott Miller

Jiuge: A Human-Machine Cooperative Chinese Classical Poetry Generation System
Guo Zhipeng, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang and Ruoyu Li

Rapid Customization for Event Extraction
Yee Seng Chan, Joshua Fasching, Haoling Qiu and Bonan Min

A Multiscale Visualization of Attention in the Transformer Model
Jesse Vig

PostAc : A Visual Interactive Search, Exploration, and Analysis Platform for PhD Intensive Job Postings
Chenchen Xu, Inger Mewburn, Will J Grant and Hanna Suominen

An adaptable task-oriented dialog system for stand-alone embedded devices
Long Duong, Vu Cong Duy Hoang, Tuyen Quang Pham, Yu-Heng Hong, Vladislavs Dovgalecs, Guy Bashkansky, Jason Black, Andrew Bleeker, Serge Le Huitouze and Mark Johnson

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan and Xiang Ren

ConvLab: Multi-Domain End-to-End Dialog System Platform
Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang and Jianfeng Gao

Demonstration of a Neural Machine Translation System with Online Learning for Translators
Miguel Domingo, Mercedes García-Martínez, Amando Estela Pastor, Laurent Bié, Alexander Helle, Álvaro Peris, Francisco Casacuberta and Manuel Herranz Pérez

FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents
Serra Sinem Tekiroglu, Bernardo Magnini and Marco Guerini

A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks
Álvaro Peris and Francisco Casacuberta

NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, Lifeng Wang and Xing Zhou

ADVISER: A Dialog System Framework for Education & Research
Daniel Ortega, Dirk Väth, Gianna Weber, Lindsey Vanderlyn, Maximilian Schmidt, Moritz Völkel, Zorica Karacevic and Ngoc Thang Vu

KCAT: A Knowledge-Constraint Typing Annotation Tool
Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu and Xiang Ren

An Environment for the Relational Annotation of Political Debates
Andre Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa and Sebastian Padó

GLTR: Statistical Detection and Visualization of Generated Text
Sebastian Gehrmann, Hendrik Strobelt and Alexander Rush

OpenKiwi: An Open Source Framework for Quality Estimation
Fabio Kepler, Jonay Trenous, Marcos Treviso, Miguel Vera and André F. T. Martins

Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon and Bill Dolan

PerspectroScope: A Window to the World of Diverse Perspectives
Sihao Chen, Daniel Khashabi, Chris Callison- Burch and Dan Roth

HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the- Loop
Prithviraj Sen, Yunyao Li, Eser Kandogan, Yiwei Yang and Walter Lasecki

My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers
Nitin Madnani, Beata Beigman Klebanov, Anastassia Loukina, Binod Gyawali, John Sabatini, Patrick Lange, Michael Flor

GrapAL: Connecting the Dots in Scientific Literature
Christine Betts, Joanna Power and Waleed Ammar

ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter
Sarthak Majithia, Fatma Arslan, Sumeet Lubal, Damian Jimenez, Priyank Arora, Josue Caraballo and Chengkai Li

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Sachan and Eric Xing

Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
Piero Molino, Yang Wang and Jiawei Zhang

Flambé: A Customizable Framework for Multistage Natural Language Processing Experiments
Jeremy Wohlwend, Nicholas Matthews and Ivan Itzcovich

A Modular Tool for Automatic Summarization
Valentin Nyzam and Aurélien Bossard

TARGER: Neural Argument Mining at Your Fingertips
Artem Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann and Alexander Panchenko

MoNoise: A Multi-lingual and Easy-to-use Lexical Normalization Tool
Rob van der Goot

Level-Up: Learning to Improve Proficiency Level of Essays
Wen-Bin Han, Jhih-Jie Chen, Chingyu Yang and Jason Chang

Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners
Jhih-Jie Chen, Chingyu Yang, Peichen Ho, Ming Chiao Tsai, Chia-Fang Ho, Kai-Wen Tuan, Chung- Ting Tsai, Wen-Bin Han and Jason Chang

Student Research Workshop Papers

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A computational linguistic study of personal recovery in bipolar disorder
Glorianna Jagfeld

A Japanese Word Segmentation Proposal
Stalin Aguirre and Josafá Aguiar

A Strong and Robust Baseline for Text-Image Matching
Fangyu Liu and Rongtian Ye

Active Reading Comprehension: A dataset for learning the Question-Answer Relationship strategy
Diana Galvan

Analyzing and Mitigating Gender Bias in Languages with Grammatical Gender and Bilingual Word Embeddings
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen and Kai-Wei Chang

Annotating and Analyzing Semantic Role of Elementary Units and Relations in Online Persuasive Arguments
Ryo Egawa, Gaku Morio and Katsuhide Fujita

ARHNet - Leveraging Community Interaction For Detection Of Religious Hate Speech In Arabic
Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney and Rajiv Ratn Shah

Attention and Lexicon Regularized LSTM for Aspcet-based Sentiment Analysis
Lingxian Bao, Patrik Lambert and Toni Badia

Attention over Heads: A Multi-Hop Attention for Neural Machine Translation
Shohei Iida, Ryuichiro Kimura, Hongyi Cui, Po-Hsuan Hung, Takehito Utsuro and Masaaki Nagata

Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies
Nina Hosseini-Kivanani, Juan Camilo Vásquez-Correa, Manfred Stede and Elmar Nöth

Automatic Data-Driven Approaches for Evaluating the Phonemic Verbal Fluency Task with Healthy Adults
Hali Lindsay, Nicklas Linz and Johannes Tröger

Automatic Generation of Personalized Comment Based on User Profile
Wenhuan Zeng, Abulikemu Abuduweili, Lei Li and Pengcheng Yang

BREAKING! Presenting fake news corpus for automated fact checking
Archita Pathak and Rohini Srihari

Computational ad hominem detection
Pieter Delobelle, Murilo Cunha, Eric Massip Cano, Jeroen Peperkamp and Bettina Berendt

Controllable Text Simplification with Lexical Constraint Loss
Daiki Nishihara, Tomoyuki Kajiwara and Yuki Arase

Controlling Grammatical Error Correction Using Word Edit Rate
Kengo Hotate, Masahiro Kaneko, Satoru Katsumata and Mamoru Komachi

Convolutional Neural Networks for Financial Text Regression
Neşat Dereli and Murat Saraclar

Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data
Vamshi Krishna Srirangam, Appidi Abhinav Reddy, Vinay Singh and Manish Shrivastava

Corpus Creation and Baseline System for Aggression Detection in Telugu-English Code-Mixed Social Media Data
Koushik Reddy Sane, Sushmitha Reddy Sane, Sairam Kolla and Radhika Mamidi

Cross-domain and Cross-lingual Abusive Language Detection: a Hybrid Approach with Deep Learning and a Multilingual Lexicon
Endang Wahyu Pamungkas and Viviana Patti

De-Mixing Sentiment from Code-Mixed Text
Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava and Philipp Koehn

Deep Neural Models for Medical Concept Normalization in User-Generated Texts
Zulfat Miftahutdinov and Elena Tutubalina

Detecting Political Bias in News Articles Using Headline Attention
Rama Rohit Reddy Gangula, Suma Reddy Duggenpudi and Radhika Mamidi

Developing OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages and Analysing Stylometric Difference in Men and Women Writing using the Resource
Jyoti Jha and Navjyoti Singh

Dialogue-Act Prediction of Future Responses based on Conversation History
Koji Tanaka, Junya Takayama and Yuki Arase

Distributed Knowledge Based Clinical Auto-Coding System
Rajvir Kaur

Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition
Hicham El Boukkouri, Olivier Ferret, Thomas Lavergne and Pierre Zweigenbaum

English-Indonesian Neural Machine Translation for Spoken Language Domains
Meisyarah Dwiastuti

Enriching Neural Models with Targeted Features for Dementia Detection
Flavio Di Palo and Natalie Parde

Exploring the potential of Neural Networks for Extracting Adverse Drug Reactions from Biomedical Texts
Ilseyar Alimova and Elena Tutubalina

Fact or Factitious? Contextualized Opinion Spam Detection
Stefan Kennedy, Niall Walsh, Kirils Sloka, Andrew McCarren and Jennifer Foster

From Bilingual to Multilingual Neural Machine Translation by Incremental Training
Carlos Escolano, Marta R. Costa-jussà and José A. R. Fonollosa

From brain space to distributional space: the perilous journeys of fMRI decoding
Gosse Minnema and Aurélie Herbelot

Gender Stereotypes Differ between Male and Female Writings
Yusu Qian

Hierarchical Multi-label Classification of Text with Capsule Networks
Rami Aly, Steffen Remus and Chris Biemann

Imperceptible Adversarial Examples for Automatic Speech Recognition
Yao Qin

Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise
Yatu Ji, Hongxu Hou, Chen Junjie and Nier Wu

Improving Neural Entity Disambiguation with Graph Embeddings
Özge Sevgili, Alexander Panchenko and Chris Biemann

Incorporating Textual Information on User Behavior for Personality Prediction
Kosuke Yamada, Ryohei Sasano and Koichi Takeda

Investigating Political Herd Mentality: A Community Sentiment based Approach
Anjali Bhavan, Rohan Mishra, Pradyumna Prakhar Sinha, Ramit Sawhney and Rajiv Ratn Shah

Joint Learning of Named Entity Recognition and Entity Linking
Pedro Henrique Martins, Zita Marinho and André F. T. Martins

Knowledge discovery and hypothesis generation from online patient forums: A research proposal
Anne Dirkson

Long-Distance Dependencies don't have to be Long: Simplifying through Provably (Approximately) Optimal Permutations
Rishi Bommasani

Māori Loanwords: A Corpus of New Zealand English Tweets
David Trye, Andreea Calude, Felipe Bravo-Marquez and Te Taka Keegan

Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik
Emily Chen

Multilingual model using cross-task embedding projection
Jin Sakuma and Naoki Yoshinaga

Multimodal Logical Inference System for Visual-Textual Entailment
Riko Suzuki, Hitomi Yanaka, Masashi Yoshikawa, Koji Mineshima and Daisuke Bekki

Multiple Character Embeddings for Chinese Word Segmentation
Jianing Zhou, Jingkang Wang and Gongshen Liu

Natural Language Generation: Recently Learned Lessons, Directions for Semantic Representation-based Approaches, and the case of Brazilian Portuguese Language
Marco Antonio Sobrevilla Cabezudo and Thiago Pardo

Normalizing Non-canonical Turkish Texts Using Machine Translation Approaches
Talha Çolakoğlu, Umut Sulubacak and Ahmet Cüneyd Tantuğ

Not All Reviews are Equal: Towards Addressing Reviewer Biases for Opinion Summarization
Wenyi Tay

On Dimensional Linguistic Properties of the Word Embedding Space
Vikas Raunak, Vaibhav Kumar, Vivek Gupta and Florian Metze

On the impressive performance of randomly weighted encoders in summarization tasks
Jonathan Pilault, Jaehong Park and Christopher Pal

Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
Zhong Zhou, Matthias Sperber and Alexander Waibel

Predicting the Outcome of Deliberative Democracy: A Research Proposal
Conor McKillop

Public Mood Variations in Russia based on Vkontakte Content
Sergey Smetanin

Question Answering in the Biomedical Domain
Vincent Nguyen

Ranking of Potential Questions
Luise Schricker and Tatjana Scheffler

Reducing Gender Bias in Word-Level Language Models with A Gender-Equalizing Loss Function
Yusu Qian, Urwa Muaz, Ben Zhang and Jae Won Hyun

Robust to Noise Models in Natural Language Processing Tasks
Valentin Malykh

Scheduled Sampling for Transformers
Tsvetomila Mihaylova and André F. T. Martins

Sentence Level Curriculum Learning for Improved Neural Conversational Models
Sean Paulsen

Sentiment Analysis on Naija-Tweets
Taiwo Kolajo, Olawande Daramola and Ayodele Adebiyi

Sentiment Classification using Document Embeddings trained with Cosine Similarity
Tan Thongtan and Tanasanee Phienthrakul

STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
Léo Bouscarrat, Antoine Bonnefoy, Thomas Peel and Cécile Pereira

Towards incremental learning of word embeddings using context informativeness
Alexandre Kabbach, Kristina Gulordava and Aurélie Herbelot

Towards Turkish Abstract Meaning Representation
Zahra Azin and Gülşen Eryiğit

Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages
Yohan Karunanayake, Uthayasanker Thayasivam and Surangika Ranathunga

Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring
Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi and Kentaro Inui

Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation
Dušan Variš and Ondřej Bojar

Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation
Go Yasui, Yoshimasa Tsuruoka and Masaaki Nagata

Invited Talks

Simultaneous Translation: Recent Advances and Remaining Challenges

Liang Huang

Principal Scientist and Head
Institute of Deep Learning USA (IDL-US)
Baidu Research, Sunnyvale, CA, USA

Assistant Professor (on leave)
School of EECS
Oregon State University, Corvallis, OR, USA

Abstract

Simultaneous interpretation (i.e., translating concurrently with the source language speech) is widely used in many scenarios including multilateral organizations (UN/EU), international summits (APEC/G-20), legal proceedings, and press conferences. However, it is well known to be one of the most challenging tasks for humans due to the simultaneous perception and production in two languages. As a result, there are only a few thousand professional simultaneous interpreters world-wide, and each of them can only sustain for 15-30 minutes in each turn. On the other hand, simultaneous translation (either speech-to-text or speech-to-speech) is also notoriously difficult for machines and has remained one of the holy grails of AI. A key challenge here is the word order difference between the source and target languages. For example, if you simultaneously translate German (an SOV language) to English (an SVO language), you often have to wait for the sentence-final German verb. Therefore, most existing "real-time" translation systems resort to conventional full-sentence translation, causing an undesirable latency of at least one sentence, rendering the audience largely out of sync with the speaker. There have been efforts towards genuine simultaneous translation, but with limited success.

Recently, at Baidu Research, we discovered a much simpler and surprisingly effective approach to simultaneous (speech-to-text) translation by designing a "prefix-to-prefix" framework tailed to simultaneity requirements. This is in contrast with the "sequence-to-sequence" framework which assumes the availability of the full input sentence. Our approach results in the first simultaneous translation system that achieves reasonable translation quality with controllable latency. Our technique has been successfully deployed to simultaneously translate Chinese speeches into English subtitles at the 2018 Baidu World Conference, and has been demoed live at NeuIPS 2018 Expo Day.

Inspired by the success of this very simple approach, we have extended it to produce more flexible translation strategies. Our work has also generated renewed interest in this long-standing problem in the CL community; for instance, two recent papers from Google proposed interesting improvements based on our ideas. Time permitting, I will also discuss our efforts towards the ultimate goal of simultaneous speech-to-speech translation, and conclude with a list of remaining challenges.

See demos, media coverage, and more info at: https://simultrans-demo.github.io/

Bio

Liang Huang is Principal Scientist and Head of Institute of Deep Learning USA (IDL-US) at Baidu Research and Assistant Professor (on leave) at Oregon State University.

He received his PhD from the University of Pennsylvania in 2008 and BS from Shanghai Jiao Tong University in 2003. He was previously a research scientist at Google, a research assistant professor at USC/ISI, an assistant professor at CUNY, a part-time research scientist at IBM. His research is in the theoretical aspects of computational linguistics.

Many of his efficient algorithms in parsing, translation, and structured prediction have become standards in the field, for which he received a Best Paper Award at ACL 2008, a Best Paper Honorable Mention at EMNLP 2016, and several best paper nominations (ACL 2007, EMNLP 2008, ACL 2010, and SIGMOD 2018). He is also a computational biologist where he adapts his parsing algorithms to RNA and protein folding. He is an award-winning teacher and a best-selling author. His work has garnered widespread media attention including Fortune, CNBC, IEEE Spectrum, and MIT Technology Review.

Loquentes Machinae: Technology, Applications, and Ethics of Conversational Systems

Pascale Fung

Abstract

From HAL in “2001:Space Odyssey” to Samantha in “Her”, conversational systems have always captured the public’s imagination as the ultimate intelligent machine. The famous Turing Test was designed to determine whether a machine “thinks” like human or not, based on natural conversation between human and a machine. With the advent of smart devices, conversational systems are suddenly everywhere, talking and responding to us from our phones, speakers, cars and call centers. Meanwhile, the public is also becoming increasingly concerned about privacy and security issues of these systems.

In the decades since the first DARPA Communicator project, conversational systems come in many different forms. Whereas research systems are predominantly based on deep learning approaches today, most of the commercial systems from the US and Asia are still using template-based and retrieval-based approaches.

Recent advances in such systems include endowing them with the ability to (1) learn to memorize; (2) learn to personalize; and (3) learn to empathize. In all aspects of R&D in this area, we encounter the challenge of a lack of well-balanced and well-labeled data. Hence, multi-task and meta-learning have been proposed as possible solutions.

In this talk, I will give an overview of some of the technical challenges, approaches and applications of conversational systems, and the debates on ethical issues surrounding them. I will also highlight some of the cultural differences in this area and discuss how we can collaborate internationally to build conversational systems that are secure, safe, and fair for all.

Bio

Pascale Fung is a Professor in the Department of Electronic & Computer Engineering and the Department of Computer Science & Engineering at the Hong Kong University of Science & Technology(HKUST).

She is the Director of the multidisciplinary Centre for AI Research (CAiRE) at HKUST, to promote R&D in beneficial and human-centered AI. She is an elected Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and an elected Fellow of the International Speech Communication Association (ISCA) for her contributions to the interdisciplinary area of spoken language human-machine interactions.

She co-founded the Human Language Technology Center (HLTC) and is an affiliated faculty with the Robotics Institute and the Big Data Institute, both at HKUST. She is a past president and current board member of ACL SIGDAT, and past technical program chair of ACL and EMNLP conferences. She was Editor for Computer Speech and Language, Associate Editor for the IEEE/ACM Transactions on Audio, Speech and Language Processing and the Transactions on Association for Computational Linguistics. She was Technical Program Chair for IEEE ICASSP 2018 and will be TPC again in 2020 and 2024.

Fung's work has always been focused on building intelligent systems that can understand and empathize with humans. Her specific areas of research are using statistical modelling and deep learning for natural language processing, spoken language systems, emotion and sentiment recognition. Pascale Fung has applied many of her research group's results in the fields of, among others, robotics, IoT, and financial analytics. Her efforts led to the launch of the world's first Chinese natural language search engine in 2001, the first Chinese virtual assistant for smartphones in 2010, and the first emotional intelligent speaker in 2017.

Pascale Fung is a faculty expert for the World Economic Forum, and is a member of the Partnership on AI for the Benefit of Humanity and Society. She has been invited as an AI expert to different government initiatives in China, Japan, the UAE, India, the European Union and the United Nations. She has spoken extensively on using AI for public good and on the need for international collaborations in this area.