Accepted Papers

Main Conference

“President Vows to Cut <Taxes> Hair”: Dataset and Analysis of Creative Text Editing for Humorous Headlines
Nabil Hossain, John Krumm and Michael Gamon

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen and Dinh Phung

A Complex-valued Network for Matching
Qiuchi Li, Benyou Wang and Massimo Melucci

A corpus of text-image discourse relations
Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo and Matthew Stone

A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
Massimo Poesio, Jon Chamberlain, Silviu Paun, Juntao Yu, Alexandra Uma and Udo Kruschwitz

A crowdsourced frame disambiguation corpus with ambiguity
Anca Dumitrache, Lora Aroyo and Chris Welty

A Dynamic Speaker Model for Conversational Interactions
Hao Cheng, Hao Fang and Mari Ostendorf

A Fine-Grained Semantic Relatedness Dataset for English Bigrams
Shima Asaadi, Saif Mohammad and Svetlana Kiritchenko

A general framework for information extraction using dynamic span graphs
Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf and Hannaneh Hajishirzi

A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages
Ronald Cardenas, Ying Lin, Heng Ji and Jonathan May

A Large-Scale Comparison of Historical Text Normalization Systems
Marcel Bollmann

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
Mingda Chen, Qingming Tang, Sam Wiseman and Kevin Gimpel

A Probabilistic Generative Model of Linguistic Typology
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell and Isabelle Augenstein

A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC
Mark Yatskar

A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction
Duy-Cat Can, Hoang-Quynh Le, Quang-Thuy Ha and Nigel Collier

A Robust Abstractive System for Cross-Lingual Summarization
Jessica Ouyang, Boya Song and Kathy McKeown

A Silver Standard Corpus of Human Phenotype-Gene Relations
Diana Sousa, Andre Lamurias and Francisco M Couto

A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors
Simon Flachs, Ophélie Lacroix, Marek Rei, Helen Yannakoudakis and Anders Søgaard

A Simple Joint Model for Improved Contextual Neural Lemmatization
Chaitanya Malaviya, Shijie Wu and Ryan Cotterell

A Streamlined Method for Sourcing Discourse-level Argumentation Annotations from the Crowd
Tristan Miller, Maria Sukhareva and Iryna Gurevych

A Strong and Simple Baseline for Multimodal Utterance Embeddings
Paul Pu Liang, Yao Chong Lim, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov and Louis-Philippe Morency

A Structural Probe for Finding Syntax in Word Representations
John Hewitt and Christopher D. Manning

A Study of Incorrect Paraphrases in Crowdsourced User Utterances
Mohammad-Ali Yaghoub-Zadeh-Fard, Boualem Benatallah, Moshe ChaiBarukh and Shayan Zamanirad

A Study of Latent Structured Prediction Approaches to Passage Reranking
Iryna Haponchyk and Alessandro Moschitti

A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems
Elham J. barezi, Ian D. Wood, Pascale Fung and Hamid R. Rabiee

A Systematic Study of Leveraging Subword Information for Learning Word Representations
Yi Zhu, Ivan Vulić and Anna Korhonen

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
Ziqian Zeng, Wenxuan Zhou, Xin Liu and Yangqiu Song

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
Byeongchang Kim, Hyunwoo Kim and Gunhee Kim

Abusive Language Detection with Graph Convolutional Networks
Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis and Ekaterina Shutova

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
Kazuma Hashimoto and Yoshimasa Tsuruoka

Acoustic-to-Word Models with Conversational Context Information
Suyoun Kim and Florian Metze

Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation
Muhammad Tasnim Mohiuddin, Thanh Nguyen and Shafiq Joty

Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
Kechen Qin, Cheng Li, Virgil Pavlu and Javed Aslam

Adaptive Convolution for Multi-Relational Learning
Xiaotian Jiang, Quan Wang and Bin Wang

Adaptive Convolution for Text Classification
Byung-Ju Choi, Jun-Hyung Park and SangKeun Lee

Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages
Rudra Murthy, Anoop Kunchukuttan and Pushpak Bhattacharyya

Adversarial Category Alignment Network for Cross-domain Sentiment Classification
Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang and Pan Zhou

Adversarial Decomposition of Text Representation
Alexey Romanov, Anna Rumshisky, Anna Rogers and David Donahue

Adversarial Training for Satire Detection: Controlling for Confounding Variables
Robert McHardy, Heike Adel and Roman Klinger

Adversarial Training for Weakly Supervised Event Detection
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun and Peng Li

Affect-Driven Dialog Generation
Pierre Colombo, Wojciech Witon, Ashutosh Modi, James Kennedy and Mubbasir Kapadia

Aligning Vector-spaces with Noisy Supervised Lexicon
Noa Yehezkel Lubin, Jacob Goldberger and Yoav Goldberg

Alignment over Heterogeneous Embeddings for Question Answering
Vikas Yadav, Steven Bethard and Mihai Surdeanu

An Annotated Dataset of Literary Entities
David Bamman, Sejal Popat and Sheng Shen

An Effective Label Noise Model for DNN Text Classification
Ishan Jindal, Daniel Pressel, Brian Lester and Matthew Nokleby

An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
Alexandra Chronopoulou, Christos Baziotis and Alexandros Potamianos

An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search
Kartik Goyal, Chris Dyer and Taylor Berg-Kirkpatrick

An Encoding Strategy Based Word-Character LSTM for Chinese NER
Wei Liu, Tongge Xu, Qinghua Xu, Jiayu Song and Yueran Zu

An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing and Irwin King

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow and Dan Jurafsky

Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media
Shi Zong, Alan Ritter, Graham Mueller and Evan Wright

Answer-based Adversarial Training for Generating Clarification Questions
Sudha Rao and Hal Daumé III

Argument Mining for Understanding Peer Reviews
Xinyu Hua, Mitko Nikolov, Nikhil Badugu and Lu Wang

Attention is not Explanation
Sarthak Jain and Byron C. Wallace

Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
Timo Schick and Hinrich Schütze

AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification
Santosh Tokala, Vishal G, Avirup Saha and Niloy Ganguly

AudioCaps: Generating Captions for Audio in The Wild
Dongjoo Kim, Byeongchang Kim, Hyunmin Lee and Gunhee Kim

Augmenting word2vec with latent Dirichlet allocation within a clinical application
Akshay Budhkar and Frank Rudzicz

Automatic learner summary assessment for reading comprehension
Menglin Xia, Ekaterina Kochmar and Ted Briscoe

AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
Han Guo, Ramakanth Pasunuru and Mohit Bansal

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering
Yu Cao, Meng Fang and Dacheng Tao

Bayesian Analysis of Crosslingual Transfer Learning in Probabilistic Topic Models
Shudong Hao and Michael J. Paul

Bayesian Learning for Neural Dependency Parsing
Ehsan Shareghi, Yingzhen Li, Yi Zhu, Roi Reichart and Anna Korhonen

Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Xinya Du, Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark and Claire Cardie

Benchmarking Approximate Inference Methods for Neural Structured Prediction
Lifu Tu and Kevin Gimpel

Benchmarking Hierarchical Script Knowledge
Yonatan Bisk, Jan Buys, Karl Pichotta and Yejin Choi

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova

Better Modeling of Incomplete Annotations for Named Entity Recognition
Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding and Linlin Li

Better word embeddings by disentangling contextual n-gram information
Prakhar Gupta, Matteo Pagliardini and Martin Jaggi

Better, Faster, Stronger Sequence Tagging Constituent Parsers
David Vilares, Mostafa Abdou and Anders Søgaard

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat
Ravi Shekhar, Aashish Venkatesh, Tim Baumgärtner, Elia Bruni, Barbara Plank, Raffaella Bernardi and Raquel Fernández

Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation
Xing Niu, Weijia Xu and Marine Carpuat

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases
Yu Chen, Lingfei Wu and Mohammed Zaki

Biomedical Event Extraction based on Knowledge-driven Tree-LSTM
Diya Li, Lifu Huang, Heng Ji and Jiawei Han

Black is to Criminal as Caucasian is to Police: Towards Detecting, Evaluating and Removing Multiclass Bias in Word Embeddings
Thomas Manzini, Lim Yao Chong, Alan W Black and Yulia Tsvetkov

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins and Kristina Toutanova

Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions
Omid Rohanian, Shiva Taslimipoor, Samaneh Kouchaki, Le An Ha and Ruslan Mitkov

Broader context improves metaphor identification
Jesse Mu, Helen Yannakoudakis and Ekaterina Shutova

Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism
Shufan Wang and Mohit Iyyer

CCG parsing algorithm with online tree rebalancing
Miloš Stanojević and Mark Steedman

Chinese Named Entity Recognition using Featured Embeddings and Attention Mechanism
Yuying Zhu and Guoxin Wang

CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra and Marcus Rohrbach

Code-Switching for Enhancing NMT with Pre-Specified Translation
Kai Song, Yue Zhang, Heng Yu, Weihua Luo, Kun Wang and Min Zhang

Combining Discourse Markers and Cross-lingual Embeddings for Synonym–Antonym Classification
Michael Roth and Shyam Upadhyay

Combining Disparate Sentiment Lexica with a Multi-View Variational Autoencoder
Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Ryan Cotterell and Isabelle Augenstein

Combining Distant and Direct Supervision for Neural Relation Extraction
Iz Beltagy, Kyle Lo and Waleed Ammar

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie and Jonathan Berant

Competence-based Curriculum Learning for Neural Machine Translation
Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabas Poczos and Tom Mitchell

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Reno Kriz, Joao Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki and Chris Callison-Burch

ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters
Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya and Gerhard Weikum

Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction
Peng Xu and Denilson Barbosa

Consistency by Agreement in Zero-Shot Neural Machine Translation
Maruan Al-Shedivat and Ankur Parikh

Content Differences in Syntactic and Semantic Representation
Daniel Hershcovich, Omri Abend and Ari Rappoport

Context-Aware Cross-Lingual Mapping
Hanan Aldarmaki and Mona Diab

Contextualization of Morphological Inflection
Ekaterina Vylomova, Ryan Cotterell, Trevor Cohn, Timothy Baldwin and Jason Eisner

Continual Learning for Sentence Representations Using Conceptors
Tianlin Liu, Lyle Ungar and Joao Sedoc

Continuous Learning for Large-scale Personalized Domain Classification
Han Li, Jihwan Lee, Sidharth Mudgal, Ruhi Sarikaya and Young-Bum Kim

Conversation Initiation by Diverse News Contents Introduction
Satoshi Akasaki and Nobuhiro Kaji

Conversation Model Fine-Tuning for Classifying Client Utterances in Counseling Dialogues
Sungjoon Park, Donghyun Kim and Alice Oh

Convolutional Self-Attention Networks
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao and Zhaopeng Tu

Cooperative Learning of Disjoint Syntax and Semantics
Serhii Havrylov, Germán Kruszewski and Armand Joulin

Corpora Generation for Grammatical Error Correction
Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar and Simon Tong

Correlation Coefficients and Semantic Textual Similarity
Vitalii Zhelezniak, Aleksandar Savkov, April Shen and Nils Hammerla

Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network
Hitesh Golchha, Mauajama Firdaus, Asif Ekbal and Pushpak Bhattacharyya

Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough?
Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata and Kentaro Inui

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
Tal Schuster, Ori Ram, Regina Barzilay and Amir Globerson

Cross-lingual CCG Induction
Kilian Evang

Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging
Lifu Huang, Heng Ji and Jonathan May

Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog
Sebastian Schuster, Sonal Gupta, Rushin Shah and Mike Lewis

Cross-lingual Visual Verb Sense Disambiguation
Spandana Gella, Desmond Elliott and Frank Keller

Cross-referencing Using Fine-grained Topic Modeling
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales and Kevin Seppi

Cross-topic distributional semantic representations via unsupervised mappings
Eleftheria Briakou, Nikos Athanasiou and Alexandros Potamianos

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer and Ido Dagan

Curriculum Learning for Domain Adaptation in Neural Machine Translation
Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat and Kevin Duh

Customizing Grapheme-to-Phoneme System for Non-Trivial Transcription Problems in Bangla Language
Sudipta Saha Shubha, Nafis Sadeq, Shafayat Ahmed, Md. Nahidul Islam, Muhammad Abdullah Adnan, Md. Yasin Ali Khan and Mohammad Zuberul Islam

Cyclical Annealing Schedule: A Simple Approach to Mitigate KL Vanishing
Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz and Lawrence Carin

Data-efficient Neural Text Compression with Interactive Learning
Avinesh PVS and Christian M. Meyer

Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding
Jonggu Kim and Jong-Hyeok Lee

Decomposed Local Models for Coordinate Structure Parsing
Hiroki Teranishi, Hiroyuki Shindo and Yuji Matsumoto

Density Matching for Bilingual Word Embedding
Chunting Zhou, Xuezhe Ma, Di Wang and Graham Neubig

Description-Based Zero-shot Fine-Grained Entity Typing
Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi and Prasad Tadepalli

Detecting cognitive impairments by agreeing on interpretations of linguistic features
Zining Zhu, Jekaterina Novikova and Frank Rudzicz

Detecting Cybersecurity Events from Noisy Short Text
Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel and Emin Islam Tatli

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
Bai Li, Yi-Te Hsu and Frank Rudzicz

Detecting Derogatory Compounds – An Unsupervised Approach
Michael Wiegand, Maximilian Wolf and Josef Ruppenhofer

Detecting Metal Health Disorders in Social Media using Fine-Grained Emotions
Mario Ezra Aragon, Adrian Pastor Lopez Monroy, Luis Carlos Gonzalez Gurrola and Manuel Montes-y-Gomez

Detection of Abusive Language: the Problem of Biased Datasets
Michael Wiegand, Josef Ruppenhofer and Thomas Kleinbauer

Dialogue Act Classification with Context-Aware Self-Attention
Vipul Raheja and Joel Tetreault

Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation
Weijia Xu, Xing Niu and Marine Carpuat

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
Mor Geva, Eric Malmi, Idan Szpektor and Jonathan Berant

Discontinuous Constituency Parsing with a Stack-free Transition System and a Dynamic Oracle
Maximin Coavoux and Shay B. Cohen

Disentangling Language and Knowledge in Task Oriented Dialogs
Dinesh Raghu, Nikhil Gupta and Mausam -

Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
Zhi-Xiu Ye and Zhen-Hua Ling

Distributionally Robust Language Modeling
Yonatan Oren, Tatsunori Hashimoto, Kelvin Guu and Percy Liang

Document-Level Event Factuality Identification via Adversarial Neural Network
Zhong Qian, Peifeng Li, Qiaoming Zhu and Guodong Zhou

Document-Level N-ary Relation Extraction with Multiscale Representation Learning
Robin Jia, Cliff Wong and Hoifung Poon

Does My Rebuttal Matter? Insights from a Major NLP Conference
Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych and Yusuke Miyao

Domain adaptation for part-of-speech tagging of noisy user-generated text
Luisa Berlanda, Dietrich Trautmann and Benjamin Roth

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh and Matt Gardner

Early Rumour Detection
Kaimin Zhou, Chang Shu, Binyang Li and Jey Han Lau

Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering
Kun Xu, Yuxuan Lai, Yansong Feng and Zhiguo Wang

Enhancing Opinion Role Labeling with Semantic-Aware Word Representations from Semantic Role Labeling
Meishan Zhang, Peili Liang and Guohong Fu

Entailment-based Question Answering over Multiple Sentences
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal and Niranjan Balasubramanian

Entity Recognition at First Sight: Improving NER with Eye Movement Information
Nora Hollenstein and Ce Zhang

Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent
Minhao Cheng, Wei Wei and Cho-Jui Hsieh

Evaluating Coherence in Dialogue Systems using Entailment
Nouha Dziri, Ehsan Kamalloo, Kory Mathewson and Osmar Zaiane

Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings
Gijs Wijnholds and Mehrnoosh Sadrzadeh

Evaluating Rewards for Question Generation Models
Tom Hosking and Sebastian Riedel

Evaluating Style Transfer for Text
Remi Mir, Bjarke Felbo, Nick Obradovich and Iyad Rahwan

Evaluating Text GANs as Language Models
Guy Tevet, Gavriel Habib, Vered Shwartz and Jonathan Berant

Event Detection without Triggers
Liu Shulin, Li Yang, Zhang Feng, Yang Tao and Zhou Xinpeng

Exploiting Noisy Data in Distant Supervision Relation Classification
Kaijia Yang, Liang He, XIN-YU DAI, Shujian Huang and Jiajun CHEN

Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation
Jiawei Wu, Xin Wang and William Yang Wang

Extractive and Compressive Neural Summarization Based on Summary State Representations
Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins and Shay B. Cohen

Extractive Clip Localization Using Natural Language Descriptions
Soham Ghosh, Anuva Agarwal, zarana parekh and Alexander Hauptmann

Fact Discovery from Knowledge Base via Facet Decomposition
Zihao Fu, Yankai Lin, Zhiyuan Liu and Wai Lam

Factorising AMR generation through syntax
Kris Cao and Stephen Clark

Fake News Detection using Deep Markov Random Fields
Duc Minh Nguyen, Tien Huu Do, Robert Calderbank and Nikos Deligiannis

Fast Concept Mention Grouping for Concept Map-based Multi-Document Summarization
Tobias Falke and Iryna Gurevych

Fixed That for You: Generating Contrastive Claims with Semantic Edits
Christopher Hidey and Kathy McKeown

Fluent Translations from Disfluent Speech in End-to-End Speech Translation
Elizabeth Salesky, Matthias Sperber and Alexander Waibel

FreebaseQA: A New Factoid QA Dataset Matching Trivia-Style Question-Answer Pairs with Freebase
Kelvin Jiang, Dekun Wu and Hui Jiang

From legal to technical concept: Towards an automated classification of German political Twitter postings as criminal offenses
Frederike Zufall, Tobias Horsmann and Torsten Zesch

Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters
Evgeny Kim and Roman Klinger

GAN Driven Semi-distant Supervision for Relation Extraction
Pengshuai Li, Xinsong Zhang, Weijia Jia and Hai Zhao

Gender Bias in Contextualized Word Embeddings
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez and Kai-Wei Chang

Generalizing Unmasking for Short Texts
Janek Bevendorff, Benno Stein, Matthias Hagen and Martin Potthast

Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models
Victor Prokhorov, Mohammad Taher Pilehvar and Nigel Collier

Generating Token-Level Explanations for Natural Language Inference
James Thorne, Andreas Vlachos, Christos Christodoulopoulos and Arpit Mittal

Giving Attention to the Unexpected: Using Prosody Innovations in Disfluency Detection
Victoria Zayats and Mari Ostendorf

Global Information in Local Convolution for Keyphrase Extraction
Animesh Prasad and Min-Yen Kan

Graph Pattern Entity Ranking Model for Knowledge Graph Completion
Takuma Ebisu and Ryutaro Ichise

GraphIE: A Graph-Based Framework for Information Extraction
Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo and Regina Barzilay

Guiding Extractive Summarization with Question-Answering Rewards
Kristjan Arumae and Fei Liu

Harry Potter and the Action Prediction Challenge from Natural Language
David Vilares and Carlos Gómez-Rodríguez

Highly Effective Arabic Diacritization using Sequence to Sequence Modeling
Hamdy Mubarak, Ahmed Abdelali, Hassan Sajjad, Younes Samih and Kareem Darwish

HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition
Wenxiang Jiao, Haiqin Yang, Irwin King and Michael R. Lyu

How Bad are PoS Tagger in Cross-Corpora Settings? Evaluating Annotation Divergence in the UD Project.
Guillaume Wisniewski and François Yvon

How Large A Vocabulary Does Text Classification Need? A Variational Approach on Vocabulary Selection
Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan and William Yang Wang

How to Avoid Sentences Spelling Boring? Towards a Neural Approach to Unsupervised Metaphor Generation
Zhiwei Yu and Xiaojun Wan

IMHO Fine-Tuning Improves Claim Detection
Tuhin Chakrabarty, Christopher Hidey and Kathy McKeown

Implementation of a Chomsky-Schützenberger n-best parser for weighted multiple context-free grammars
Thomas Ruprecht and Tobias Denkinger

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing
Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang

Improved Lexically-constrained Decoding for Translation and Monolingual Rewriting
J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post and Benjamin Van Durme

Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
Yuxiao Ye, Weikang Li, Yue Zhang, Likun Qiu and Jian Sun

Improving Dialogue State Tracking by Discerning the Relevant Context
Sanuj Sharma, Prafulla Kumar Choubey and Ruihong Huang

Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering
Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang and Xiang Ren

Improving Domain Adaptation Translation with Shared Encoder-Decoder
Shuhao Gu, Yang Feng and Qun Liu

Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data
Yin Jou Huang, Jing Lu, Sadao Kurohashi and Vincent Ng

Improving Grammatical Error Correction Via Pre-Training a Copy-Augmented Architecture with Unlabeled Data
Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia and Jingming Liu

Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation
Sebastian Gehrmann, Steven Layne and Franck Dernoncourt

Improving Lemmatization of Non-Standard Languages with Joint Learning
Enrique Manjavacas, Ákos Kádár and Mike Kestemont

Improving Machine Reading Comprehension with General Reading Strategies
Kai Sun, Dian Yu, Dong Yu and Claire Cardie

Improving Natural Language Interaction with Robots Using Advice
Nikhil Mehta and Dan Goldwasser

Improving Neural Machine Translation with Neural Syntactic Distance
Chunpeng Ma, AKIHIRO TAMURA, Masao Utiyama, Eiichiro Sumita and Tiejun Zhao

Improving Robustness of Machine Translation with Synthetic Noise
Vaibhav Vaibhav, Sumeet Singh, Craig Stewart and Graham Neubig

Incorporating Context and External Knowledge for Pronoun Coreference Resolution
Hongming Zhang, Yan Song and Yangqiu Song

Incorporating Emoji Descriptions Improves Tweet Classification
abhishek singh, Eduardo Blanco and Wei Jin

Incorporating Word Attention into Character-Based Word Segmentation
Shohei Higashiyama, Masao Utiyama, Eiichiro Sumita, Masao Ideuchi, Yoshiaki Oida, Yohei Sakamoto and Isaac Okada

Inferring advice-seeking intentions from personal narratives: A cloze test formulation
Liye Fu, Jonathan Chang and Cristian Danescu-Niculescu-Mizil

Inferring Which Medical Treatments Work from Reports of Clinical Trials
Eric Lehman, Jay DeYoung, Regina Barzilay and Byron C. Wallace

Information Aggregation for Multi-Head Attention with Routing-by-Agreement
Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu and Zhaopeng Tu

Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Nelson F. Liu, Roy Schwartz and Noah A. Smith

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
Jingqing Zhang, Piyawat Lertvittayakumjorn and Yike Guo

Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process
Dingcheng Li, Siamak Zamani, Ping Li and Jingyuan Zhang

Inter-Sentence Attention For Semantic Role Labeling
Chaoyu Guan, Yuhao Cheng and Hai Zhao

Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
Pouya Pezeshkpour, Yifan Tian and Sameer Singh

Issue Framing in Online Discussion Fora
Mareike Hartmann, Tallulah Jansen, Isabelle Augenstein and Anders Søgaard

Iterative Search for Weakly Supervised Semantic Parsing
Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer and Eduard Hovy

Joint Detection and Location of English Puns
Yanyan Zou and Wei Lu

Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging
Sara Meftah, Youssef Tamaazousti, Nasredine Semmar, Hassane Essafi and Fatiha Sadat

Joint Multi-Label Attention Networks for Social Text Annotation
Hang Dong, Wei Wang, Kaizhu Huang and Frans Coenen

Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog
Rashmi Gangadharaiah and Balakrishnan Narayanaswamy

Joint Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
Hu Xu, Bing Liu, Lei Shu and Philip Yu

Jointly Optimizing Diversity and Relevance in Neural Response Generation
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao and Bill Dolan

Keyphrase Generation: A Text Summarization Struggle
Erion Çano and Ondřej Bojar

Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition
Angli Liu, Jingfei Du and Veselin Stoyanov

Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation
Md Akmal Haidar, Mehdi Rezagholizadeh, Alan Do Omri and Ahmad Rashid

Learning Bilingual Sentiment-Specific Word Embeddings without Cross-Lingual Supervision
Yanlin Feng and Xiaojun Wan

Learning Discrete Latent for Documents Retrieval
Yifei Zhang and hao zhu

Learning Hierarchical Discourse-level Structure for Fake News Detection
Hamid Karimi and Jiliang Tang

Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach
Nicolas Pröllochs, Stefan Feuerriegel and Dirk Neumann

Learning Relational Representations by Analogy using Hierarchical Siamese Networks
Gaetano Rossiello, Alfio Gliozzo, Robert Farrell, Nicolas Fauceglia and Michael Glass

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering
Jianmo Ni, Chenguang Zhu, Weizhu Chen and Julian McAuley

Learning to Decipher Hate Symbols
Jing Qian, Mai ElSherief, Elizabeth Belding and William Yang Wang

Learning to Denoise Distantly-Labeled Data for Entity Typing
Yasumasa Onoe and Greg Durrett

Learning to Describe Unknown Phrases with Local and Global Contexts
Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Shoetsu Sato, Masashi Toyoda and Masaru Kitsuregawa

Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
Hao Tan, Licheng Yu and Mohit Bansal

Learning to Stop in Structured Prediction for Neural Machine Translation
Mingbo Ma, Renjie Zheng and Liang Huang

Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs
Geert Heyman, Bregt Verreet, Ivan Vulić and Marie-Francine Moens

Left-to-Right Dependency Parsing with Pointer Networks
Daniel Fernández-González and Carlos Gómez-Rodríguez

Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms
Diyi Yang, Jiaao Chen, Zichao Yang, Dan Jurafsky and Eduard Hovy

Linguistic Knowledge and Transferability of Contextual Representations
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew Peters and Noah A. Smith

Linguistically-Informed Specificity and Semantic Plausibility for Dialog Generation
Wei-Jen Ko, Greg Durrett and Junyi Jessy Li

Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
Hila Gonen and Yoav Goldberg

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang and Huajun Chen

Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation
Nikolai Vogler, Craig Stewart and Graham Neubig

Lost in Machine Translation: A Method to Reduce Meaning Loss
Reuben Cohn-Gordon and Noah Goodman

Low-Resource Syntactic Transfer with Unsupervised Source Reordering
Mohammad Sadegh Rasooli and Michael Collins

Massively Multilingual Adversarial Speech Recognition
Oliver Adams, Matthew Wiesner, Shinji Watanabe and David Yarowsky

Massively Multilingual Neural Machine Translation
Roee Aharoni, Melvin Johnson and Orhan Firat

Measuring Immediate Adaptation Performance for Neural Machine Translation
Patrick Simianer, Joern Wuebker and John DeNero

Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders
Cory Shain and Micha Elsner

Microblog Hashtag Generation via Encoding Conversation Contexts
Yue Wang, Jing Li, Irwin King, Michael R. Lyu and Shuming Shi

Mining Discourse Markers for Unsupervised Sentence Representation Learning
Damien Sileo, Tim Van de Cruys, Camille Pradel and Philippe Muller

Misspelling Oblivious Word Embeddings
Aleksandra Piktus, Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira and Fabrizio Silvestri

Mitigating Uncertainty in Document Classification
Xuchao Zhang, Fanglan Chen, ChangTien Lu and Naren Ramakrishnan

Modeling Document-level Causal Structures for Event Causal Relation Identification
Lei Gao, Prafulla Kumar Choubey and Ruihong Huang

Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings
Daisuke Oba, Naoki Yoshinaga, Shoetsu Sato, Satoshi Akasaki and Masashi Toyoda

Modeling Recurrence for Transformer
Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang and Zhaopeng Tu

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks
Maolin Li, Arvid Fahlström Myrman, Tingting Mu and Sophia Ananiadou

Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition
Jumayel Islam, Robert Mercer and Lu Xiao

Multi-Level Memory for Task Oriented Dialogs
Revanth Gangi Reddy, Danish Contractor, Dinesh Raghu and Sachindra Joshi

Multi-Task Learning for Japanese Predicate Argument Structure Analysis
Hikaru Omori and Mamoru Komachi

Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis
Md Shad Akhtar, Dushyant Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal and Pushpak Bhattacharyya

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension
Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu and Jianfeng Gao

Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media
Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James Glass and Preslav Nakov

Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling
Kathleen C. Fraser, Nicklas Linz, Bai Li, Kristina Lundholm Fors, Frank Rudzicz, Alexandra Konig, Jan Alexandersson, Philippe Robert and Dimitrios Kokkinakis

Multimodal Deception Detection in Dialogues
Felix Soldner, Verónica Pérez-Rosas and Rada Mihalcea

MuST-C: a Multilingual Speech Translation Corpus
Mattia Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri and Marco Turchi

Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction
Karl Stratos

Neural Chinese Address Parsing
Hao Li, Wei Lu, Pengjun Xie and Linlin Li

Neural Constituency Parsing of Speech Transcripts
Paria Jamshid Lou, Yufei Wang and Mark Johnson

Neural Finite-State Transducers: Beyond Rational Relations
Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley and Jason Eisner

Neural Grammatical Error Correction with Finite State Transducers
Felix Stahlberg, Christopher Bryant and Bill Byrne

Neural language models as psycholinguistic subjects: Representations of syntactic state
Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros and Roger Levy

Neural Machine Translation of Text from Non-Native Speakers
Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen and David Chiang

Neural Self-Training through Spaced Repetition
Hadi Amiri

Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging
Apostolos Kemos, Heike Adel and Hinrich Schütze

Neural Text Generation from Rich Semantic Representations
Valerie Hajdik, Jan Buys, Michael Wayne Goodman and Emily M. Bender

News Article Teaser Tweets and How to Generate Them
Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger and Hinrich Schütze

NLP Whack-A-Mole: Challenges in Cross-Domain Temporal Expression Extraction
Amy Olex, Luke Maffey and Bridget McInnes

No Permanent Friends or Enemies: Tracking Dynamic Relationships Between Nations from News
Xiaochuang Han, Eunsol Choi and Chenhao Tan

Non-Parametric Adaptation for Neural Machine Translation
Ankur Bapna and Orhan Firat

Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text
Ahmad Sakor, Isaiah Onando Mulang’, Kuldeep Singh, Saeedeh Shekarpour, Maria Esther Vidal, Jens Lehmann and Sören Auer

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing
Wasi Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard Hovy, Kai-Wei Chang and Nanyun Peng

On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
Paul Michel, Xian Li, Graham Neubig and Juan Pino

On Knowledge distillation from complex networks for response prediction
Siddhartha Arora, Mitesh M. Khapra and Harish G. Ramaswamy

On Measuring Social Biases in Sentence Encoders
Chandler May, Alex Wang, Shikha Bordia, Samuel R. Bowman and Rachel Rudinger

On the Idiosyncrasies of the Mandarin Chinese Classifier System
Shijia Liu, Hongyuan Mei, Adina Williams and Ryan Cotterell

On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping
Mohammad Taher Pilehvar

One Size Does Not Fit All: Comparing NMT Representations of Different Granularities
Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov and Preslav Nakov

Online Distilling from Checkpoints for Neural Neural Machine Translation
Hao-Ran Wei, Shujian Huang, Ran Wang, XIN-YU DAI and Jiajun CHEN

Open Information Extraction from Question-Answer Pairs
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy and H V Jagadish

OpenRM: Relation Mapping between Open Information Extraction and Knowledge Bases with Universal Schema
Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Luna Dong and Andrew McCallum

Outlier Detection for Improved Data Quality and Diversity in Dialog Systems
Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael Laurenzano, Johann Hauswald, Lingjia Tang and Jason Mars

Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation
Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh and Philipp Koehn

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Mandar Joshi, Eunsol Choi, Omer Levy, Daniel Weld and Luke Zettlemoyer

Partial Or Complete, That’s The Question
Qiang Ning, Hangfeng He, Chuchu Fan and Dan Roth

PAWS: A Dataset for Measuring Structure Sensitivity in Paraphrase Identification
Yuan Zhang, Jason Baldridge and Luheng He

Personalized Neural Embeddings for Collaborative Filtering with Text
Guangneng Hu

Phylogenic Multi-Lingual Dependency Parsing
Mathieu Dehouck and Pascal Denis

Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
Prithviraj Ammanabrolu and Mark Riedl

Polyglot Contextual Representations Improve Crosslingual Transfer
Phoebe Mulcaire, Jungo Kasai and Noah A. Smith

PoMo: Generating Entity-Specific Post-Modifiers in Context
Jun Seok Kang, Robert Logan, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh and Niranjan Balasubramanian

Pooled Contextualized Embeddings for Named Entity Recognition
Alan Akbik, Tanja Bergmann and Roland Vollgraf

Positional Encoding to Control Output Sequence Length
Sho Takase and Naoaki Okazaki

Posterior Regularized REINFORCE for Instance Selection in Distant Supervision
Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu and Yueting Zhuang

Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities
Alexander Erdmann, David Joseph Wrisley, Benjamin Allen, Christopher Brown, Sophie Cohen-Bodénès, Micha Elsner, Yukun Feng, Brian Joseph, Béatrice Joyeaux-Prunel and Marie-Catherine de Marneffe

Pragmatically Informative Text Generation
Sheng Shen, Daniel Fried, Jacob Andreas and Dan Klein

Pre-trained language model representations for language generation
Sergey Edunov, Alexei Baevski and Michael Auli

Pre-training on high-resource speech recognition improves low-resource speech-to-text translation
Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez and Sharon Goldwater

Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction
Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace and Ani Nenkova

Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture
Kishaloy Halder, Min-Yen Kan and Kazunari Sugiyama

Predicting Malware Attributes from Cybersecurity Texts
Arpita Roy, Youngja Park and Shimei Pan

Predicting the Type and Target of Offensive Posts in Social Media
Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra and Ritesh Kumar

Prediction is all you need: A large-scale study of the effects of word frequency and predictability in naturalistic reading
Cory Shain

Probabilistic Natural Language Generation with Wasserstein Autoencoders
Hareesh Bahuleyan, Lili Mou, Hao Zhou and Olga Vechtomova

Probing the Need for Visual Context in Multimodal Machine Translation
Ozan Caglayan, Pranava Madhyastha, Lucia Specia and Loïc Barrault

Pun Generation with Surprise
He He, Nanyun Peng and Percy Liang

Quantifying Mention-Level Genderedness
Ananya Ananya, Nitya Parthasarthi and Sameer Singh

Quantifying the morphosyntactic content of Brown Clusters
Manuel Ciosici, Leon Derczynski and Ira Assent

Question Answering as an Automatic Evaluation Metric for News Article Summarization
Matan Eyal, Tal Baumel and Michael Elhadad

Question Answering by Reasoning Across Documents with Graph Convolutional Networks
Nicola De Cao, Wilker Aziz and Ivan Titov

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
Debjit Paul and Anette Frank

Ranking-Based AutoEncoder for Extreme Multi-label Classification
Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li and Hui Zhou

Recommendations for Datasets for Source Code Summarization
Alexander LeClair and Collin McMillan

Recovering dropped pronouns in Chinese conversations via modeling their referents
Jingxuan Yang, Jianzhuo Tong, Si Li, Sheng GAO, Jun Guo and Nianwen Xue

Recurrent models and lower bounds for projective syntactic decoding
Natalie Schluter

Recursive Routing Networks: Learning to Compose Modules for Language Understanding
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts and Lauri Karttunen

Recursive Subtree Composition in LSTM-Based Dependency Parsing
Miryam de Lhoneux, Miguel Ballesteros and Joakim Nivre

Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
Gaurav Kumar, George Foster, Colin Cherry and Maxim Krikun

Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
Hongyu Gong, Suma Bhat, Lingfei Wu, JinJun Xiong and Wen-mei Hwu

Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN
Van-Hien Tran, Van-Thuy Phi, Hiroyuki Shindo and Yuji Matsumoto

Relation Discovery with Out-of-Relation Knowledge Base as Supervision
Yan Liang, Xin Liu, Jianwen Zhang and Yangqiu Song

Relation Extraction using Explicit Context Conditioning
Gaurav Singh and parminder bhatia

Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision
Jianhao Yan, Lin He, Ruqin Huang, Jian Li and Ying Liu

Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
Tiancheng Zhao, Kaige Xie and Maxine Eskenazi

Rethinking Complex Neural Network Architectures for Document Classification
Ashutosh Adhikari, Achyudh Ram, Raphael Tang and Jimmy Lin

Review Rating Prediction with 3-Tier Attention Network
Chuhan Wu, Fangzhao Wu, Junxin Liu and Yongfeng Huang

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations
Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren and Xu SUN

Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training
Muhammad Tasnim Mohiuddin and Shafiq Joty

ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Nazanin Esmaili and Massimo Piccardi

Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling
Prince Zizhuang Wang and William Yang Wang

Saliency Learning: Teaching the Model Where to Pay Attention
Reza Ghaeini, Xiaoli Fern, Hamed Shahbazi and Prasad Tadepalli

SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling
Peng Lu, Ting Bai and Philippe Langlais

Scalable Collapsed Inference for High-Dimensional Topic Models
Rashidul Islam and James Foulds

Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims
Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch and Dan Roth

Segmentation-free compositional n-gram embedding
Geewook Kim, Kazuki Fukui and Hidetoshi Shimodaira

Selective Attention for Context-aware Neural Machine Translation
Sameen Maruf, André F. T. Martins and Gholamreza Haffari

Self-Discriminative Learning for Unsupervised Document Embedding
Hong-You Chen, Chin-Hua Hu, Leila Wehbe and Shou-de Lin

Semantic Parsing over Context-Dependent Temporally Structured Data
Charles Chen and Razvan Bunescu

Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems
Ting-Rui Chiang and Yun-Nung Chen

Sentence Embedding Alignment for Lifelong Relation Extraction
Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Yang Wang

Separating Planning from Realization in Neural Data to Text Generation
Amit Moryossef, Yoav Goldberg and Ido Dagan

SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas and Alexandros Potamianos

Sequential Attention with Keyword Mask Model for Community-based Question Answering
Jianxin Yang, Wenge Rong, Libin Shi and Zhang Xiong

Serial Recall Effects in Neural Language Modeling
Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar and Farhad Oroumchian

Shifting the Baseline: Single Modality Performance on Visual Navigation & QA
Jesse Thomason, Daniel Gordon and Yonatan Bisk

Short-term meaning shift: a distributional exploration
Marco Del Tredici, Raquel Fernández and Gemma Boleda

Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines
Ehsan Shareghi, Daniela Gerz, Ivan Vulić and Anna Korhonen

Shrinking Japanese Morphological Analyzers With Neural Networks and Semi-supervised Learning
Arseny Tolmachev, Daisuke Kawahara and Sadao Kurohashi

Simple Attention-Based Representation Learning for Ranking Short Social Media Posts
Peng Shi, Jinfeng Rao and Jimmy Lin

Simple Question Answering with Subgraph Ranking and Joint-Scoring
Wenbo Zhao, Tagyoung Chung, Anuj Goyal and Angeliki Metallinou

Simplified Neural Unsupervised Domain Adaptation
Timothy Miller

Single Document Summarization as Tree Induction
Yang Liu, Ivan Titov and Mirella Lapata

Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory
Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam and Shuming Shi

Something’s Brewing! Early Prediction of Controversy-causing Posts from Discussion Features
Jack Hessel and Lillian Lee

Star-Transformer
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue and Zheng Zhang

Strong Baselines for Complex Word Identification across Multiple Languages
Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego and Andreas Vlachos

Structural Neural Encoders for AMR-to-text Generation
Marco Damonte and Shay B. Cohen

Structural Scaffolds for Citation Intent Classification in Scientific Publications
Arman Cohan, Waleed Ammar, Madeleine van Zuylen and Field Cady

Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros and Roger Levy

Structured Minimally Supervised Learning for Neural Relation Extraction
Fan Bai and Alan Ritter

Studying the inductive biases of RNNs with synthetic variations of natural languages
Shauli Ravfogel, Yoav Goldberg and Tal Linzen

Sub-event detection from twitter streams as a sequence labeling problem
Giannis Bekoulis, Johannes Deleu, Thomas Demeester and Chris Develder

Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation
Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari and Partha Talukdar

Subword Encoding in Lattice LSTM for Chinese Word Segmentation
Jie Yang, Yue Zhang and Shuailong Liang

Subword-based Compact Reconstruction of Word Embeddings
Shota Sasaki, Jun Suzuki and Kentaro Inui

Subword-Level Language Identification for Intra-Word Code-Switching
Manuel Mager, Özlem Çetinoğlu and Katharina Kann

Syntax-aware Neural Semantic Role Labeling with Supertags
Jungo Kasai, Dan Friedman, Robert Frank, Dragomir Radev and Owen Rambow

Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations
Meishan Zhang, Zhenghua Li, Guohong Fu and Min Zhang

Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling
Zhifang Fan, Zhen Wu, XIN-YU DAI, Shujian Huang and Jiajun CHEN

Targeted Aspect-Based Sentiment Analysis as a Sentence Pair Classification Task: Constructing the Other Sentence
Chi Sun, Luyao Huang and Xipeng Qiu

Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang and Chengqi Zhang

Text Classification with Few Examples using Controlled Generalization
Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot and Dan Roth

Text Generation from Knowledge Graphs
Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata and Hannaneh Hajishirzi

Text Generation with Exemplar-based Adaptive Decoding
Hao Peng, Ankur Parikh, Manaal Faruqui, Bhuwan Dhingra and Dipanjan Das

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
Steffen Eger, Gozde Gul Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson and Iryna Gurevych

Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing
Tim vor der Brück and Marc Pouly

The emergence of number and syntax units in LSTM language models
Yair Lakretz, Germán Kruszewski, Théo Desbordes, Dieuwke Hupkes, Stanislas Dehaene and Marco Baroni

The Lower The Simpler
Chao Wang and Hui Jiang

The problem with probabilistic DAG automata for semantic graphs
Ieva Vasiljeva, Sorcha Gilroy and Adam Lopez

The World in My Mind: Visual Dialog with Adversarial Multi-modal Feature Encoding
Yiqun Yao, Jiaming Xu and Bo Xu

Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar
Wenchao Du and Alan W Black

Topic Spotting using Hierarchical Networks with Self Attention
Pooja Chitkara, Ashutosh Modi, Pravalika Avvaru, Sepehr Janghorbani and Mubbasir Kapadia

Topic-Guided Variational Auto-Encoder for Text Generation
Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen and Lawrence Carin

Towards Content Transfer through Grounded Text Generation
Shrimai Prabhumoye, Chris Quirk and Michel Galley

Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
Aida Amini, Saadia Gabriel, Shanchuan Lin, Rik Koncel-Kedziorski, Yejin Choi and Hannaneh Hajishirzi

Training data augmentation for context-sensitive neural lemmatizer using inflection tables and raw text
Toms Bergmanis and Sharon Goldwater

Transferable Neural Projection Representations
Chinnadhurai Sankar, Sujith Ravi and Zornitsa Kozareva

Tweet Stance Detection Using an Attention based Neural Ensemble Model
Umme Aymun Siddiqua, Abu Nowshed Chy and Masaki Aono

Typological Features for Multilingual Delexicalised Dependency Parsing
Manon Scholivet, Franck Dary, Alexis Nasr, Benoit Favre and Carlos Ramisch

UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering
Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak and Lun-Wei Ku

Understanding and Improving Hidden Representations for Neural Machine Translation
Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao and Shuming Shi

Understanding dataset design choices for multi-hop reasoning
Jifan Chen and Greg Durrett

Understanding language-elicited EEG data by predicting it from a finetuned language model
Dan Schwartz and Tom Mitchell

Understanding Learning Dynamics Of Language Models with SVCCA
Naomi Saphra and Adam Lopez

Understanding the Behaviour of Neural Abstractive Summarizers Using Contrastive Examples
Krtin Kumar and Jackie Chi Kit Cheung

Unifying Human and Statistical Evaluation for Natural Language Generation
Tatsunori Hashimoto, Hugh Zhang and Percy Liang

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao and Jing Jiang

Unsupervised Dialog Structure Learning
Weiyan Shi, Tiancheng Zhao and Zhou Yu

Unsupervised Extraction of Partial Translations for Neural Machine Translation
Benjamin Marie and Atsushi Fujita

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders
Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer and Andrew McCallum

Unsupervised Recurrent Neural Network Grammars
Yoon Kim, Alexander Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer and Gábor Melis

Using Large Corpus Ngram Statistics to Improve Recurrent Neural Language Models
Yiben Yang, Ji-Ping Wang and Doug Downey

Using Natural Language Relations between Answer Choices for Machine Comprehension
Rajkumar Pujari and Dan Goldwasser

Using Similarity Measures to Select Pretraining Data for NER
Xiang Dai, Sarvnaz Karimi, Ben Hachey and Cecile Paris

Value-based Search in Execution Space for Mapping Instructions to Programs
Dor Muhlgay, Jonathan Herzig and Jonathan Berant

VCWE: Visual Character-enhanced Word Embeddings
Chi Sun, Xipeng Qiu and Xuanjing Huang

Vector of Locally Aggregated Embeddings for Text Representation
Hadi Amiri and Mitra Mohtarami

Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation
Radu Tudor Ionescu and Andrei Butnaru

Viable Dependency Parsing as Sequence Labeling
Michalina Strzyz, David Vilares and Carlos Gómez-Rodríguez

VQD: Visual Query Detection In Natural Scenes
Manoj Acharya, Karan Jariwala and Christopher Kanan

What do entity-centric models learn? Insights from entity linking in multi-party dialogue
Laura Aina, Carina Silberer, Ionut-Teodor Sorodoc, Matthijs Westera and Gemma Boleda

What just happened? Evaluating retrofitted distributional word vectors
Dmetri Hayes

What makes a good conversation? How controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela and Jason Weston

What’s in a name? Reducing bias in bios without access to protected attributes
Alexey Romanov, Maria De-Arteaga, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Anna Rumshisky and Adam Kalai

When Open Information Extraction Meets the Semi-Structured Web
Colin Lockard, Prashant Shiralkar and Xin Luna Dong

White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Or Gorodissky, Yotam Gil, Yoav Chai and Jonathan Berant

WiC: 10,000 Example Pairs for Evaluating Context-Sensitive Representations
Mohammad Taher Pilehvar and Jose Camacho-Collados

Word Embeddings-based Automatic Evaluation Metric using Word Position Information
Hiroshi Echizen’ya, Kenji Araki and Eduard Hovy

WordNode2Vec: Graph-based Embedding of Words
procheta sen, Debasis Ganguly and Gareth Jones

Zero-Shot Cross-Lingual Opinion Target Extraction
Soufian Jebbara and Philipp Cimiano

Industry Track

A Case Study on Neural Headline Generation for Editing Support
Kazuma Murao, Ken Kobayashi, Hayato Kobayashi, Taichi Yatsuka, Takeshi Masuyama, Tatsuru Higurashi and Yoshimune Tabuchi

A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling
Yue Chen and John Chen

Active Learning for New Domains in Natural Language Understanding
Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss and Spyros Matsoukas

Are the tools up to the task? An evaluation of commercial dialog tools in developing conversational enterprise-grade dialog systems
Marie Meteer, Meghan Hickey, Carmi Rothberg and David Nahamoo

Audio De-identification - a new entity recognition task
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Tzvika Hartman, Avinatan Hassidim and Yossi Matias

Content-based Dwell Time Engagement Prediction Model for News Articles
Heidar Davoudi, Aijun An and Gordon Edall

Cross-lingual Transfer Learning for Japanese Named Entity Recognition
Andrew Johnson, Penny Karanasou, Judith Gaspers and Dietrich Klakow

Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features
Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei and Jimmy Lin

Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System
Shazia Afzal, Tejas Dhamecha, Nirmal Mukhi, Renuka Sindhgatta, Smit Marvaniya, Matthew Ventura and Jessica Yarbro

Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Budhaditya Deb, Peter Bailey and Milad Shokouhi

Enabling Real-time Neural IME with Incremental Vocabulary Selection
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki and Hideki Nakayama

Extraction of Message Sequence Charts from Software Use-Case Descriptions
Girish Palshikar, Nitin Ramrakhiyani, Sangameshwar Patil, Sachin Pawar, Swapnil Hingmire, Vasudeva Varma and Pushpak Bhattacharyya

Fast Prototyping a QA System for Comprehending Symptom Monitoring Information in Nurse-Patient Conversations
Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao Chuen Tong, Sharon Yu Bing Ong, Angela Hwee Koon Ng, Sheldon Shao Guang Lee, Michael Ross Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow and Nancy F. Chen

Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems
Ashwini Challa, Kartikeya Upasani, Anusha Balakrishnan and Rajen Subba

Goal-Oriented End-to-End Chatbots with Profile Features in a Real-World Setting
Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang and Vikas Bhardwaj

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents
Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao and Xiaojing Liu

Improving Knowledge Base Construction from Robust Infobox Extraction
Boya Peng, Yejin Huh, Xiao Ling and Michele Banko

In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data
Nishant Prateek, Mateusz Lajszczak, Roberto Barra-Chicote, Thomas Drugman, Jaime Lorenzo-Trueba, Thomas Merritt, Srikanth Ronanki and Trevor Wood

Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning based Question Answering
Fréderic Godin, Anjishnu Kumar and Arpit Mittal

Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
Jihwan Lee, Ruhi Sarikaya and Young-Bum Kim

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong and Philip S. Yu

Neural Lexicons for Slot Tagging in Spoken Language Understanding
Kyle Williams

Neural Text Normalization with Subword Units
Courtney Mansfield, Ming Sun, Yuzong Liu, Ankur Gandhe and Bjorn Hoffmeister

Practical Semantic Parsing for Spoken Language Understanding
Marco Damonte, Rahul Goel and Tagyoung Chung

Robust Semantic Parsing with Adversarial Learning for Domain Generalization
Gabriel Marzinotto, Geraldine Damnati, Frederic Bechet and Benoit Favre

Scaling Multi-Domain Dialogue State Tracking via Query Reformulation
Pushpendre Rastogi, Arpit Gupta, Tongfei Chen and Mathias Lambert

TOI-CNN: A Solution of Information Extraction on Chinese Insurance Policy
Lin Sun, Kai Zhang and Fule Ji

Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov and Pradeep Karuturi