EMNLP 2016: Conference on Empirical Methods in Natural Language Processing — November 1–5, 2016 — Austin, Texas, USA.


SIGDAT, the Association for Computational Linguistics special interest group on linguistic data and corpus-based approaches to NLP, invites you to participate in EMNLP 2016.

The conference will be held on November 1–5, 2016 (Tue–Sat) in Austin, Texas, USA.

Accepted Papers

In total, 179 long papers and 87 short papers were accepted. In addition, 9 papers accepted by TACL will be presented at EMNLP.

Long Papers

Discourse Parsing with Attention-based Hierarchical Neural Network
Qi Li, Tianshi Li and Baobao Chang

Rationale-Augmented Convolutional Neural Networks for Text Classification
Ye Zhang, Iain Marshall and Byron C. Wallace

Aspect Level Sentiment Classification with Deep Memory Network
Duyu Tang, Bing Qin and Ting Liu

Generalizing and Hybridizing Count-based and Neural Language Models
Graham Neubig and Chris Dyer

Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics
Douwe Kiela, Anita Lilla Verő and Stephen Clark

Nested propositions in Open Information Extraction
Nikita Bhutani, H V Jagadish and Dragomir Radev

Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing
Ilan Tchernowitz, Liron Yedidsion and Roi Reichart

Bias and Agreement in Syntactic Annotations
Yevgeni Berzak, Yan Huang, Andrei Barbu, Anna Korhonen and Boris Katz

Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation
Yu-Yang Huang and Shou-De Lin

POLY: Mining Relational Paraphrases from Multilingual Sentences
Adam Grycner and Gerhard Weikum

The Structured Weighted Violations Perceptron Algorithm
Rotem Dror and Roi Reichart

Conditional Generation and Snapshot Learning in Neural Dialogue Systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Lina M. Rojas Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke and Steve Young

Detecting and Characterizing Events
Allison Chaney, Hanna Wallach, David Blei and Matthew Connelly

Event Detection and Co-reference with Minimal Supervision
Haoruo Peng, Yangqiu Song and Dan Roth

Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation
Wenbin Jiang, Wen Zhang and Qun Liu

Recognizing Implicit Discourse Relations via Repeated Reading
Yang Liu and Sujian Li

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
William L. Hamilton, Kevin Clark, Jure Leskovec and Dan Jurafsky

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Dong Huk Park, Daylen Yang, Akira Fukui, Anna Rohrbach, Trevor Darrell and Marcus Rohrbach

Speculation and Negation Scope Detection via Convolutional Neural Networks
Zhong Qian, Peifeng Li, Qiaoming Zhu and Guodong Zhou

Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
Huazheng Wang, Fei Tian and Bin Gao

IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations
Naoki Otani, Toshiaki Nakazawa, Daisuke Kawahara and Sadao Kurohashi

Generating Coherent Summaries of Scientific Articles Using Coherence Patterns
Daraksha Parveen, Mohsen Mesgar and Michael Strube

A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification
Yunlun Yang, Zhi-Hong Deng and Shulei Ma

Neural versus Phrase-Based Machine Translation Quality: a Case Study
Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo and Marcello Federico

Building an Evaluation Scale using Item Response Theory
John Lalor, Hao Wu and hong yu

Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng, Li Dong and Mirella Lapata

Generation in Context with Neural Listeners and Speakers
Jacob Andreas and Dan Klein

Personalized Emphasis Framing for Persuasive Message Generation
Tao Ding and Shimei Pan

Attention-based LSTM for Aspect-level Sentiment Classification
Yequan Wang, Minlie Huang and xiaoyan zhu

Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary
Qi Zhang, Ya Guo, Jin Qian and Xuanjing Huang

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Wenya Wang, Sinno J. Pan, Daniel Dahlmeier and Xiaokui Xiao

WordRank: Learning Word Embeddings via Robust Ranking
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima and S. V. N. Vishwanathan

Exploring Semantic Representation in Brain Activity Using Word Embeddings
Yu-Ping Ruan and Zhen-Hua Ling

Extracting Aspect Specific Opinion Expressions
Abhishek Laddha and Arjun Mukherjee

Learning Crosslingual Word Embeddings without Bilingual Corpora
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird and Trevor Cohn

Analyzing Linguistic Knowledge in Sequential Model of Sentence
Peng Qian, Xipeng Qiu and Xuanjing Huang

Emotion Distribution Learning from Texts
Deyu ZHOU, Yin Zhou, Xuan Zhang, Quan Zhao and Xin Geng

Latent Tree Language Model
Tomáš Brychcín

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter
Qi Zhang, Yang Wang and Xuanjing Huang

AMR Parsing with an Incremental Joint Model
Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, Weiguang QU, Ran Li and Yanhui Gu

What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation
Ivan Habernal and Iryna Gurevych

Separating Entities and Aspects in Opinion Targets using Lifelong Graph Labeling
Lei Shu, Bing Liu, Hu Xu and Annice Kim

Jointly Embedding Knowledge Graphs and Logical Rules
Shu Guo, Quan Wang, Lihong Wang and Bin Wang

Identifying Dogmatism in Social Media: Signals and Models
Ethan Fast and Eric Horvitz

De-Conflating Semantic Representations of Words by Exploiting Knowledge from Semantic Networks
Mohammad Taher Pilehvar and Nigel Collier

On Generating Characteristic-rich Question Sets for QA Evaluation
Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan and Xifeng Yan

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Chia-Wei Liu, Ryan Lowe, Iulian Serban, Mike Noseworthy, Laurent Charlin and Joelle Pineau

Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
Jian Ni and Radu Florian

Clustering-based Regularization for Text Categorization
Konstantinos Skianis, Francois Rousseau and Michalis Vazirgiannis

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads
Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li and Li Deng

Neural Text Generation from Structured Data with Application to the Biography Domain
Rémi Lebret, David Grangier and Michael Auli

Variational Neural Machine Translation
Biao Zhang, Deyi Xiong, jinsong su, Hong Duan and Min Zhang

Neural Network for Heterogeneous Annotations
Hongshen Chen, Yue Zhang and Qun Liu

Enhanced Personalized Search using Social Data
Dong Zhou, Séamus Lawless, Xuan Wu, Wenyu Zhao and Jianxun Liu

Towards a Convex HMM Surrogate for Word Alignment
Andrei Simion, Michael Collins and Cliff Stein

Solving and Generating Chinese Character Riddles
Chuanqi Tan, Furu Wei, Li Dong, WeiFeng LV and Ming Zhou

Creating Causal Embeddings for Question Answering with Minimal Supervision
Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark and Michael Hammond

Understanding Negation in Positive Terms Using Syntactic Dependencies
Zahra Sarabi and Eduardo Blanco

Structured prediction models for RNN based sequence labeling in medical text
Abhyuday Jagannatha and hong yu

Learning to Translate for Multilingual Question Answering
Ferhan Ture

Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network
Tuan Luu Anh, Yi Tay, Siu Cheung Hui and See Kiong Ng

Does String-Based Neural MT Learn Source Syntax?
Xing Shi, Inkit Padhi and Kevin Knight

Learning to Recognize Discontiguous Entities
Aldrian Obaja Muis and Wei Lu

Mining Inference Formulas by Goal-Directed Random Walks
Zhuoyu Wei, Jun Zhao and Kang Liu

Equation Parsing : Mapping Sentences to Grounded Equations
Subhro Roy, Shyam Upadhyay and Dan Roth

LAMB: A Good Shepherd of Morphologically Rich Languages
Sebastian Ebert, Thomas Müller and Hinrich Schütze

A Semiparametric Model for Bayesian Reader Identification
Ahmed Abdelwahab, Reinhold Kliegl and Niels Landwehr

Antecedent Selection for Sluicing: Structure and Content
Pranav Anand and Daniel Hardt

Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning
Zhenghua Li, Jiayuan Chao and Min Zhang

Learning to Represent Review with Tensor Decomposition for Spam Detection
Xuepeng Wang, Kang Liu and Jun Zhao

Memory-enhanced Decoder for Neural Machine Translation
Mingxuan Wang, Zhengdong Lu, Hang Li and Qun Liu

A Simple Deep and Effective Neural Network for Semantic Role Labelling
Mingxuan Wang and Jie Zhou

Modeling Human Reading with Neural Attention
Michael Hahn and Frank Keller

Clustering Question-Answer Archives
Deepak P

Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao and Phil Blunsom

Relation Schema Induction using Tensor Factorization using Side Information
Madhav Nimishakavi, Uday Singh Saini and Partha Talukdar

Stance Detection with Bidirectional Conditional Encoding
Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos and Kalina Bontcheva

Attention-based LSTM Network for Cross-Lingual Sentiment Classification
Xinjie Zhou and Xiaojun Wan

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
Karthik Narasimhan, Adam Yala and Regina Barzilay

Summarizing News Streams using Bursty Information Networks
Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou and Zhifang Sui

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
Daniela Gerz, Ivan Vulić, Felix Hill, Roi Reichart and Anna Korhonen

Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolution Neural Network
Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai and Julien Kloetzer

Addressee and Response Selection for Multi-Party Conversation
Hiroki Ouchi and Yuta Tsuboi

On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements
Markus Dollmann and Michaela Geierhos

HUME: Human UCCA-Based Evaluation of Machine Translation
Alexandra Birch, Omri Abend, Ondřej Bojar and Barry Haddow

A Neural Network for Coordination Boundary Prediction
Jessica Ficler and Yoav Goldberg

Multi-view Response Selection for Human-Computer Conversation
Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu and Rui Yan

Variational Neural Discourse Relation Recognizer
Biao Zhang, Deyi Xiong, jinsong su, Hong Duan and Min Zhang

CSAS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification
dominique brunato, Andrea Cimino, Felice Dell'Orletta and Giulia Venturi

Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter and Dan Jurafsky

Convolutional Neural Network Language Models
Ngoc Quan Pham, Gemma Boleda and Germán Kruszewski

Improving Users' Demographic Prediction via the Videos They Talk about
yuan wang, yang xiao, chao ma and zhen xiao

Long-Short Range Context Neural Networks for Language Modeling
Youssef Oualil, Mittul Singh, Clayton Greenberg and Dietrich Klakow

Semi-Supervised Clustering for Short-Answer Scoring
Andrea Horbach and Manfred Pinkal

All Fingers are not Equal: Intensity of References in Scientific Articles
Tanmoy Chakraborty and Ramasuri Narayanam

How Transferable are Neural Networks in NLP Applications?
Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang and Zhi Jin

A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter
Jeniya Tabassum, Alan Ritter and Wei Xu

Key-Value Memory Networks for Directly Reading Documents
Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes and Jason Weston

Exploiting Source-side Monolingual Data in Neural Machine Translation
Jiajun Zhang

Generating Topical Poetry
Marjan Ghazvininejad, Xing Shi, Yejin Choi and Kevin Knight

Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts
Cole Peterson and Alona Fyshe

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding
Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, and Jiawei Han

Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction
Marcin Junczys-Dowmunt and Roman Grundkiewicz

Semantic Parsing to Probabilistic Programs for Situated Question Answering
Jayant Krishnamurthy and Oyvind Tafjord

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data
Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li and Guangxia Li

Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Zhiyang Teng, Duy Tin Vo and Yue Zhang

Event-Driven Emotion Cause Extraction with Corpus Construction
Lin Gui, Ruifeng Xu, Dongyin Wu, Qin Lu and Yu Zhou

It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering
Preslav Nakov, Lluís Màrquez and Francisco Guzmán

Unsupervised Neural Dependency Parsing
Yong Jiang, Wenjuan Han and Kewei Tu

Automatic Extraction of Implicit Interpretations from Modal Constructions
Jordan Sanders and Eduardo Blanco

Morphological Priors for Probabilistic Neural Word Embeddings
Parminder Bhatia, Robert Guthrie and Jacob Eisenstein

Incorporating Discrete Translation Lexicons into Neural Machine Translation
Philip Arthur, Graham Neubig and Satoshi Nakamura

Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms
Kian Kenyon-Dean, Jackie Chi Kit Cheung and Doina Precup

Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Thomas Kober, Julie Weeds, Jeremy Reffin and David Weir

Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse
Maria Moritz, Andreas Wiederhold, Barbara Pavlek, Yuri Bizzoni and Marco Büchler

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer and Noah A. Smith

A Supervised Framework for Large-Scale Acquisition of Domain Taxonomies
Luis Espinosa Anke, José Camacho-Collados, Claudio Delli Bovi and Horacio Saggion

The Company They Keep: Analyzing Framing through the Casts of Characters in the News
Dallas Card, Justin Gross, Amber Boydstun and Noah A. Smith

Semi-Supervised Learning of Sequence Models with Method of Moments
Zita Marinho, André F. T. Martins, Shay B. Cohen and Noah A. Smith

A graph degeneracy-based approach to keyword extraction
Antoine Tixier, Fragkiskos Malliaros and Michalis Vazirgiannis

LSTM Shift-Reduce CCG Parsing
Wenduan Xu

Bi-directional Attention with Agreement for Dependency Parsing
Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao and Li Deng

Friends with Motives: Using Text to Infer Influence on SCOTUS
Yanchuan Sim, Bryan Routledge and Noah A. Smith

Semantic Parsing with Semi-Supervised Sequential Autoencoders
Tomáš Kočiský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom and Karl Moritz Hermann

Modelling semantic surprisal at the level of events
Ottokar Tilk, Vera Demberg, Asad Sayeed, Dietrich Klakow and Stefan Thater

Online Segment to Segment Neural Transduction
Lei Yu, Jan Buys and Phil Blunsom

Transfer Learning for Low-Resource Neural Machine Translation
Barret Zoph, Deniz Yuret, Jonathan May and Kevin Knight

Relations such as Hypernymy: Identifying and Exploiting Hearst Patterns in Distributional Vectors for Lexical Entailment
Stephen Roller and Katrin Erk

Lifted Rule Injection for Relation Embeddings
Thomas Demeester, Tim Rocktäschel and Sebastian Riedel

Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context
Elliot Schumacher, Kevyn Collins-Thompson, Gwen Frishkoff and Maxine Eskenazi

Deep Multi-Task Learning with Shared Memory for Text Classification
Pengfei Liu, Xipeng Qiu and Xuanjing Huang

Modelling Interaction of Sentence Pair with Coupled-LSTMs
Pengfei Liu, Xipeng Qiu and Xuanjing Huang

A Neural Approach to Automated Essay Scoring
Kaveh Taghipour and Hwee Tou Ng

Learning Connective-based Word Representations for Implicit Discourse Relation Identification
Chloé Braud and Pascal Denis

An Evaluation of Parser Robustness for Ungrammatical Sentences
Homa B. Hashemi and Rebecca Hwa

The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues
Diane Litman, Susannah Paletz, Zahra Rahimi, Stefani Allegretti and Caitlin Rice

SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev and Percy Liang

Globally Coherent Text Generation with Neural Checklist Models
Chloé Kiddon, Luke Zettlemoyer and Yejin Choi

Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task
Libby Barak, Adele E. Goldberg and Suzanne Stevenson

Global Neural CCG Parsing with Optimality Guarantees
Kenton Lee, Mike Lewis and Luke Zettlemoyer

Joint Learning Task Structures from Language Instruction and Visual Demonstration
Changsong Liu, Shaohua Yang, Sari Saba Sadiya, Nishant Shukla, Yunzhong He, Song-chun Zhu and Joyce Chai

Exploiting Sentence Similarities for Better Alignments
Tao Li and Vivek Srikumar

Rule Extraction for Tree-to-Tree Transducers by Cost Minimization
Pascual Martínez-Gómez and Yusuke Miyao

Non-uniform Language Detection in Technical Writing
Weibo Wang, Abidalrahman Moh'd, Aminul Islam, Axel Soto and Evangelos Milios

Resolving Vision and Language Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes
Gordon Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger and Dhruv Batra

Distinguishing Past, On-going, and Future Events: The EventStatus Corpus
Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi and Ellen Riloff

Cross Sentence Inference for Process Knowledge
Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian and Peter Clark

Rationalizing Neural Predictions
Tao Lei, Regina Barzilay and Tommi Jaakkola

An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages
Antonios Anastasopoulos and David Chiang

Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification
Jianfei Yu and Jing Jiang

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems
Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang and Wen-tau Yih

Neural Sentiment Classification with User and Product Attention
Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin and Zhiyuan Liu

Demographic Dialectal Variation in Social Media: A Case Study of African-American English
Su Lin Blodgett, Lisa Green and Brendan O'Connor

Natural Language Comprehension with the EpiReader
Adam Trischler, Zheng Ye, Xingdi Yuan and Kaheer Suleman

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities
Yi Yang, Ming-Wei Chang and Jacob Eisenstein

Controlling Output Length in Neural Encoder-Decoders
Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura and Manabu Okumura

Context-Dependent Sense Embedding
Lin Qiu, Kewei Tu and Yong Yu

Sequence-Level Knowledge Distillation
Yoon Kim and Alexander M. Rush

Improving Semantic Parsing via Answer Type Inference
Semih Yavuz, Izzeddin Gur, Yu Su, Mudhakar Srivatsa and Xifeng Yan

Zero-Resource Translation with Multi-Lingual Neural Machine Translation
Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos Vural and Kyunghyun Cho

Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
Jiacheng Xu, Danlu Chen, Xipeng Qiu and Xuanjing Huang

Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Kalika Bali, Monojit Choudhury and Niloy Ganguly

Charagram: Embedding Words and Sentences via Character n-grams
John Wieting, Mohit Bansal, Kevin Gimpel and Karen Livescu

Character-Level Question Answering with Attention
Xiaodong He

Learning to Generate Textual Data
Guillaume Bouchard, Pontus Stenetorp and Sebastian Riedel

Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman and Alexander M. Rush

Nonparametric Bayesian Models for Spoken Language Understanding
Kei Wakabayashi, Johane Takeuchi, Funakoshi Kotaro and Mikio Nakano

A Theme-Rewriting Approach for Generating Algebra Word Problems
Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer and Hannaneh Hajishirzi

Length bias in Encoder Decoder Models and a Case for Global Conditioning
Pavel Sountsov and Sunita Sarawagi

A Dataset and Evaluation Metrics for Abstractive Sentence and Paragraph Compression
Kristina Toutanova, Chris Brockett, Ke M. Tran and Saleema Amershi

Unsupervised Text Recap Extraction for TV Series
Hongliang Yu, Shikun Zhang and Louis-Philippe Morency

Deep Neural Networks with Massive Learned Knowledge
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov and Eric Xing

Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models
Shamil Chollampatt, Duc Tam Hoang and Hwee Tou Ng

Universal Decompositional Semantics on Universal Dependencies
Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, Kyle Rawlins and Benjamin Van Durme

Span-Based Constituency Parsing with a Structure-Label System and Dynamic Oracles
James Cross and Liang Huang

Neural Shift-Reduce CCG Semantic Parsing
Dipendra Kumar Misra and Yoav Artzi

Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
Akash Bharadwaj, Chris Dyer, Jaime Carbonell and David Mortensen

Syntactic Parsing of Web Queries
Xiangyan Sun, Haixun Wang, Yanghua Xiao and Zhongyuan Wang

Learning Grammars with Universal Structural Constraints on Left-corner Parsing
Hiroshi Noji, Yusuke Miyao and Mark Johnson

Short Papers

Sort Story: Sorting Jumbled Images and Captions into Stories
Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh and Mohit Bansal

Tense Manages to Predict Implicative Behavior in Verbs
Ellie Pavlick and Chris Callison-Burch

Analyzing the Behavior of Visual Question Answering Models
Aishwarya Agrawal, Dhruv Batra and Devi Parikh

SimpleScience: Lexical Simplification of Scientific Terminology
Yea Seul Kim, Jessica Hullman, Matthew Burgess and Eytan Adar

A Coverage Embedding Model for Neural Machine Translation
Haitao Mi, Baskaran Sankaran, Zhiguo Wang and Abe Ittycheriah

The Gun Violence Database: A new task and data set for NLP
Ellie Pavlick, Heng Ji, Xiaoman Pan and Chris Callison-Burch

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text
Subhashini Venugopalan, Raymond Mooney, Lisa Anne Hendricks and Kate Saenko

Capturing Argument Connection for Chinese Semantic Role Labeling
Lei Sha and Zhifang Sui

Morphological Segmentation Inside-Out
Ryan Cotterell, Arun Kumar and Hinrich Schütze

Unsupervised Word Alignment by Agreement Under ITG Constraint
Hidetaka Kamigaito, Akihiro Tamura, Hiroya Takamura, Manabu Okumura and Eiichiro Sumita

Recurrent Residual Learning
Yiren Wang and Fei Tian

Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition
Changxing Wu, xiaodong shi, Yidong Chen and Yanzhou Huang

Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts
Masashi Yoshikawa, Hiroyuki Shindo and Yuji Matsumoto

Are Word Embedding-based Features Useful for Sarcasm Detection?
Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya and Mark Carman

Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling
Gakuto Kurata, Bing Xiang, Bowen Zhou and Mo Yu

Combining Supervised and Unsupervised Enembles for Knowledge Base Population
Nazneen Fatema Rajani and Raymond Mooney

Unsupervised Timeline Generation for Wikipedia History Articles
Sandro Bauer and Simone Teufel

The Effects of Data Size and Frequency Range on Distributional Semantic Models
Magnus Sahlgren and Alessandro Lenci

Supervised Keyphrase Extraction as Positive Unlabeled Learning
Lucas Sterckx, Cornelia Caragea, Thomas Demeester and Chris Develder

Supervised Attentions for Neural Machine Translation
Haitao Mi, Zhiguo Wang, Niyu Ge and Abe Ittycheriah

Multi-Granularity Chinese Word Embedding
Rongchao Yin, Quan Wang, Peng Li, Rui Li and Bin Wang

Parsing as Language Modeling
Do Kook Choe and Eugene Charniak

Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition
Tanmoy Mukherjee

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
Nicholas Locascio, Karthik Narasimhan, Eduardo De Leon, Nate Kushman and Regina Barzilay

Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity
Kewei Tu

Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache and Chu-Ren Huang

Training with Exploration Improves a Greedy Stack LSTM Parser
Miguel Ballesteros, Yoav Goldberg, Chris Dyer and Noah A. Smith

BrainBench: A Brain-Image Test Suite for Distributional Semantic Models
Haoyan Xu, Brian Murphy and Alona Fyshe

Learning to Answer Questions from Wikipedia Infoboxes
Alvaro Morales, Varot Premtoon, Cordelia Avery, Sue Felshin and Boris Katz

Learning to Generate Compositional Color Descriptions
Will Monroe, Noah D. Goodman and Christopher Potts

Why Neural Translations are the Right Length
Xing Shi, Kevin Knight and Deniz Yuret

Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study
Raymond Hendy Susanto, Hai Leong Chieu and Wei Lu

Neural Morphological Analysis: Encoding-Decoding Canonical Segments
Katharina Kann, Ryan Cotterell and Hinrich Schütze

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification
Lianhui Qin, Zhisong Zhang and Hai Zhao

Learning a Lexicon and Translation Model from Phoneme Lattices
Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do and Satoshi Nakamura

A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
Sebastian Ruder, Parsa Ghaffari and John G. Breslin

Robust Gram Embeddings
Taygun Kekec and David M. J. Tax

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling
Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari

Learning Robust Representations of Text
Yitong Li, Trevor Cohn and Timothy Baldwin

Neural Headline Generation on Abstractive Meaning Representation
Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao and Masaaki Nagata

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
Mikel Artetxe, Gorka Labaka and Eneko Agirre

Porting an Open Information Extraction System from English to German
Tobias Falke, Gabriel Stanovsky, Iryna Gurevych and Ido Dagan

Timeline extraction using distant supervision and joint inference
Andreas Vlachos and Savelie Cornegruta

Automatic Features for Essay Scoring – An Empirical Study
Fei Dong and Yue Zhang

Vector-space models for PPDB paraphrase ranking in context
Marianna Apidianaki

Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?
Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh and Dhruv Batra

Learning to Identify Metaphors from a Corpus of Proverbs
Gözde Özbal, Carlo Strapparava, Serra Sinem Tekiroglu and Daniele Pighin

The Effects of the Content of FOMC Communications on US Treasury Rates
Christopher Rohlfs, Sunandan Chakraborty and Lakshminarayanan Subramanian

Orthographic Syllable as basic unit for SMT between Related Languages
Anoop Kunchukuttan and Pushpak Bhattacharyya

Transition-Based Dependency Parsing with Heuristic Backtracking
Jacob Buckman, Miguel Ballesteros and Chris Dyer

There’s No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction
Courtney Napoles, Keisuke Sakaguchi and Joel Tetreault

Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation
Toshiaki Nakazawa and Sadao Kurohashi

Who did What: A Large-Scale Person-Centered Cloze Dataset
Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel and David McAllester

Numerically Grounded Language Models for Semantic Error Correction
Georgios Spithourakis, Isabelle Augenstein and Sebastian Riedel

Fluency detection on communication networks
Tom Lippincott and Benjamin Van Durme

A General Regularization Framework for Domain Adaptation
Wei Lu, Hai Leong Chieu and Jonathan Löfgren

Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity
Tim Vieira, Ryan Cotterell and Jason Eisner

A Neural Network Architecture for Multilingual Punctuation Generation
Miguel Ballesteros and Leo Wanner

AMR-to-text generation as a Traveling Salesman Problem
Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang and Daniel Gildea

Creating a Large Benchmark for Open Information Extraction
Gabriel Stanovsky and Ido Dagan

Gated Word-Character Recurrent Language Model
Yasumasa Miyamoto and Kyunghyun Cho

Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
Thien Huu Nguyen and Ralph Grishman

Relational Bootstrapping: Weakly Supervised Tweet Stance Classification
Javid Ebrahimi, Dejing Dou and Daniel Lowd

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
William L. Hamilton, Jure Leskovec and Dan Jurafsky

Character Sequence Models for Colorful Words
Kazuya Kawakami, Chris Dyer, Bryan Routledge and Noah A. Smith

Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages
Alan Akbik and Yunyao Li

A Decomposable Attention Model for Natural Language Inference
Ankur Parikh, Oscar Täckström, Dipanjan Das and Jakob Uszkoreit

Natural Language Model Re-usability for Scaling to Different Domains
Young-Bum Kim, Alexandre Rochette and Ruhi Sarikaya

Human-in-the-Loop Parsing
Luheng He, Julian Michael, Mike Lewis and Luke Zettlemoyer

Word Ordering Without Syntax
Allen Schmaltz, Alexander M. Rush and Stuart Shieber

Characterizing the Language of Online Communities and its Relation to Community Reception
Trang Tran and Mari Ostendorf

Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions
Arijit Ray, Gordon Christie, Mohit Bansal, Dhruv Batra and Devi Parikh

Named Entity Recognition for Novel Types by Transfer Learning
Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou and Timothy Baldwin

An Embedding Model for Predicting Roll-Call Votes
Peter Kraft, Hirsh Jain and Alexander M. Rush

Interpreting Neural Networks to Improve Politeness Comprehension
Malika Aubakirova and Mohit Bansal

Deep Reinforcement Learning for Mention-Ranking Coreference Models
Kevin Clark and Christopher D. Manning

Extracting Subevents via an Effective Two-phase Approach
Allison Badgett and Ruihong Huang

Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network
Peng Shi, Zhiyang Teng and Yue Zhang

Evaluating Induced CCG Parsers on Grounded Semantic Parsing
Yonatan Bisk, Siva Reddy, John Blitzer and Julia Hockenmaier

Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems
Farhad Bin Siddique, Dario Bertero, Chien-Sheng Wu, Yan Wan, Ricky Ho Yin Chan and Pascale Fung

Building compositional semantics and higher-order inference system for wide-coverage Japanese CCG parsers
Koji Mineshima, Ribeka Tanaka, Pascual Martínez-Gómez, Yusuke Miyao and Daisuke Bekki

Beyond Canonical Texts: A Computational Analysis of Fanfiction
Smitha Milli and David Bamman

Learning to refine text based recommendations
Youyang Gu, Tao Lei, Regina Barzilay and Tommi Jaakkola

Measuring the behavioral impact of machine translation quality improvements with A/B testing
Ben Russell and Duncan Gillespie

Does sentiment translate on Twitter? A comparative evaluation of English and Spanish well-being lexica
Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes Eichstaedt, Muhammad Abdul-Mageed, Anneke Buffone and Lyle Ungar

Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference
Masoud Rouhizadeh and H. Andrew Schwartz

Encoding Temporal Information for Time-Aware Link Prediction
Tingsong Jiang

TACL Papers to be Presented at EMNLP

Sparse Non-negative Matrix Language Modeling
Joris Pelemans, Noam Shazeer, Ciprian Chelba

Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Eliyahu Kiperwasser, Yoav Goldberg

Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation
Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu

The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages
Dingquan Wang, Jason Eisner

Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees
Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn

Understanding Satirical Articles Using Common-Sense
Dan Goldwasser, Xiao Zhang

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health
Tim Althoff, Kevin Clark, Jure Leskovec

Comparing Apples to Apple: The Effects of Stemmers on Topic Models
Alexandra Schofield, David Mimno

Minimally supervised models for number normalization
Kyle Gorman, Richard Sproat