EMNLP 2016

271 papers

Methods and Theories for Large-scale Structured Prediction

Xu Sun, Yansong Feng

Continuous Vector Spaces for Cross-language NLP Applications

Rafael E. Banchs

Neural Networks for Sentiment Analysis

Yue Zhang, Duy Tin Vo

Lifelong Machine Learning for Natural Language Processing

Zhiyuan Chen, Bing Liu

Advanced Markov Logic Techniques for Scalable Joint Inference in NLP

Deepak Venugopal, Vibhav Gogate, Vincent Ng

Practical Neural Networks for NLP: From Theory to Code

Chris Dyer, Yoav Goldberg, Graham Neubig

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang

Learning a Lexicon and Translation Model from Phoneme Lattices

Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do

Global Neural CCG Parsing with Optimality Guarantees

Kenton Lee, Mike Lewis, Luke Zettlemoyer

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning

Karthik Narasimhan, Adam Yala, Regina Barzilay

Encoding Temporal Information for Time-Aware Link Prediction

Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li

Unsupervised Timeline Generation for Wikipedia History Articles

Sandro Bauer, Simone Teufel

Human-in-the-Loop Parsing

Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer

Parsing as Language Modeling

Do Kook Choe, Eugene Charniak

Morphological Segmentation Inside-Out

Ryan Cotterell, Arun Kumar, Hinrich Schütze

Word Ordering Without Syntax

Allen Schmaltz, Alexander M. Rush, Stuart Shieber

Transition-Based Dependency Parsing with Heuristic Backtracking

Jacob Buckman, Miguel Ballesteros, Chris Dyer

Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition

Changxing Wu, Xiaodong Shi, Yidong Chen, Yanzhou Huang, Jinsong Su

Creating a Large Benchmark for Open Information Extraction

Gabriel Stanovsky, Ido Dagan

Measuring the behavioral impact of machine translation quality improvements with A/B testing

Ben Russell, Duncan Gillespie

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Supervised Attentions for Neural Machine Translation

Haitao Mi, Zhiguo Wang, Abe Ittycheriah

Why Neural Translations are the Right Length

Xing Shi, Kevin Knight, Deniz Yuret

Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation

Toshiaki Nakazawa, John Richardson, Sadao Kurohashi

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification

LIANHUI Qin, Zhisong Zhang, Hai Zhao

Deep Reinforcement Learning for Mention-Ranking Coreference Models

Kevin Clark, Christopher D. Manning

A Decomposable Attention Model for Natural Language Inference

Ankur Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit

Learning to Generate Compositional Color Descriptions

Will Monroe, Noah D. Goodman, Christopher Potts

Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser

Koji Mineshima, Ribeka Tanaka, Pascual Martínez-Gómez, Yusuke Miyao, Daisuke Bekki

Who did What: A Large-Scale Person-Centered Cloze Dataset

Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David Mcallester

Tense Manages to Predict Implicative Behavior in Verbs

Ellie Pavlick, Chris Callison-Burch

Anchoring and Agreement in Syntactic Annotations

Yevgeni Berzak, Yan Huang, Andrei Barbu, Anna Korhonen, Boris Katz

Bi-directional Attention with Agreement for Dependency Parsing

Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng

Exploiting Sentence Similarities for Better Alignments

Tao Li, Vivek Srikumar

POLY: Mining Relational Paraphrases from Multilingual Sentences

Adam Grycner, Gerhard Weikum

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

Daniela Gerz, Ivan Vulić, Felix Hill, Roi Reichart, Anna Korhonen

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

Stephen Roller, Katrin Erk

Conditional Generation and Snapshot Learning in Neural Dialogue Systems

Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Lina M. Rojas-Barahona, Pei-Hao Su

Nonparametric Bayesian Models for Spoken Language Understanding

Kei Wakabayashi, Johane Takeuchi, Kotaro Funakoshi, Mikio Nakano

Addressee and Response Selection for Multi-Party Conversation

Hiroki Ouchi, Yuta Tsuboi

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

Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change

William L. Hamilton, Jure Leskovec, Dan Jurafsky

There’s No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction

Courtney Napoles, Keisuke Sakaguchi, Joel Tetreault

Learning to refine text based recommendations

Youyang Gu, Tao Lei, Regina Barzilay, Tommi Jaakkola

The Effects of the Content of FOMC Communications on US Treasury Rates

Christopher Rohlfs, Sunandan Chakraborty, Lakshminarayanan Subramanian

Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study

Raymond Hendy Susanto, Hai Leong Chieu, Wei Lu

AMR-to-text generation as a Traveling Salesman Problem

Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea

Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling

Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu

Natural Language Model Re-usability for Scaling to Different Domains

Young-Bum Kim, Alexandre Rochette, Ruhi Sarikaya

An Embedding Model for Predicting Roll-Call Votes

Peter Kraft, Hirsh Jain, Alexander M. Rush

Learning to Identify Metaphors from a Corpus of Proverbs

Gözde Özbal, Carlo Strapparava, Serra Sinem Tekiroglu, Daniele Pighin

Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference

Masoud Rouhizadeh, Lyle Ungar, Anneke Buffone, H Andrew Schwartz

Beyond Canonical Texts: A Computational Analysis of Fanfiction

Smitha Milli, David Bamman

Does ‘well-being’ translate on Twitter?

Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes Eichstaedt, H. Andrew Schwartz

Interpreting Neural Networks to Improve Politeness Comprehension

Malika Aubakirova, Mohit Bansal

Vector-space models for PPDB paraphrase ranking in context

Marianna Apidianaki

Evaluating Induced CCG Parsers on Grounded Semantic Parsing

Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman

BrainBench: A Brain-Image Test Suite for Distributional Semantic Models

Haoyan Xu, Brian Murphy, Alona Fyshe

Capturing Argument Relationship for Chinese Semantic Role Labeling

Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang

Training with Exploration Improves a Greedy Stack LSTM Parser

Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith

Unsupervised Word Alignment by Agreement Under ITG Constraint

Hidetaka Kamigaito, Akihiro Tamura, Hiroya Takamura, Manabu Okumura, Eiichiro Sumita

Gated Word-Character Recurrent Language Model

Yasumasa Miyamoto, Kyunghyun Cho

Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity

Kewei Tu

Learning Robust Representations of Text

Yitong Li, Trevor Cohn, Timothy Baldwin

Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity

Tim Vieira, Ryan Cotterell, Jason Eisner

Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity

Emmanuele Chersoni, Enrico Santus, Alessandro Lenci, Philippe Blache, Chu-Ren Huang

Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text

Subhashini Venugopalan, Lisa Anne Hendricks, Raymond Mooney, Kate Saenko

Analyzing the Behavior of Visual Question Answering Models

Aishwarya Agrawal, Dhruv Batra, Devi Parikh

Character Sequence Models for Colorful Words

Kazuya Kawakami, Chris Dyer, Bryan Routledge, Noah A. Smith

Combining Supervised and Unsupervised Enembles for Knowledge Base Population

Nazneen Fatema Rajani, Raymond Mooney

Timeline extraction using distant supervision and joint inference

Savelie Cornegruta, Andreas Vlachos

Learning to Answer Questions from Wikipedia Infoboxes

Alvaro Morales, Varot Premtoon, Cordelia Avery, Sue Felshin, Boris Katz

Supervised Keyphrase Extraction as Positive Unlabeled Learning

Lucas Sterckx, Cornelia Caragea, Thomas Demeester, Chris Develder

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay

Orthographic Syllable as basic unit for SMT between Related Languages

Anoop Kunchukuttan, Pushpak Bhattacharyya

Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models

Shamil Chollampatt, Duc Tam Hoang, Hwee Tou Ng

Non-uniform Language Detection in Technical Writing

Weibo Wang, Abidalrahman Moh’d, Aminul Islam, Axel J. Soto, Evangelos E. Milios

A Neural Approach to Automated Essay Scoring

Kaveh Taghipour, Hwee Tou Ng

Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context

Elliot Schumacher, Maxine Eskenazi, Gwen Frishkoff, Kevyn Collins-thompson

A Graph Degeneracy-based Approach to Keyword Extraction

Antoine Tixier, Fragkiskos Malliaros, Michalis Vazirgiannis

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, Marco Büchler

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads

Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao

Regularizing Text Categorization with Clusters of Words

Konstantinos Skianis, François Rousseau, Michalis Vazirgiannis

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data

Zhen Hai, Peilin Zhao, Peng CHENG, Peng Yang, Xiao-Li Li

On- and Off-Topic Classification and Semantic Annotation of User-Generated Software Requirements

Markus Dollmann, Michaela Geierhos

Unsupervised Text Recap Extraction for TV Series

Hongliang Yu, Shikun Zhang, Louis-Philippe Morency

Syntactic Parsing of Web Queries

Xiangyan Sun, Haixun Wang, Yanghua Xiao, Zhongyuan Wang

Neural Shift-Reduce CCG Semantic Parsing

Dipendra Kumar Misra, Yoav Artzi

An Evaluation of Parser Robustness for Ungrammatical Sentences

Homa B. Hashemi, Rebecca Hwa

LSTM Shift-Reduce CCG Parsing

Wenduan Xu

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser

Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith

Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms

Kian Kenyon-Dean, Jackie Chi Kit CHEUNG, Doina Precup

Friends with Motives: Using Text to Infer Influence on SCOTUS

Yanchuan Sim, Bryan Routledge, Noah A. Smith

Universal Decompositional Semantics on Universal Dependencies

Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang

Modelling Interaction of Sentence Pair with Coupled-LSTMs

Pengfei Liu, Xipeng Qiu, Yaqian Zhou, Jifan Chen, Xuanjing Huang

Improving Sparse Word Representations with Distributional Inference for Semantic Composition

Thomas Kober, Julie Weeds, Jeremy Reffin, David Weir

De-Conflated Semantic Representations

Mohammad Taher Pilehvar, Nigel Collier

Deep Neural Networks with Massive Learned Knowledge

Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric Xing

Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification

Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang

Neural Sentiment Classification with User and Product Attention

Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin, Zhiyuan Liu