ACL Human Language Technologies, NAACL HLT 2016


Title/Authors Title Research Artifacts
[?] A research artifact is any by-product of a research project that is not directly included in the published research paper. In Computer Science research this is often source code and data sets, but it could also be media, documentation, inputs to proof assistants, shell-scripts to run experiments, etc.
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Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling

Svetlana Kiritchenko, Saif M. Mohammad

Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling

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Ultradense Word Embeddings by Orthogonal Transformation

Sascha Rothe, Sebastian Ebert, Hinrich Schütze

Ultradense Word Embeddings by Orthogonal Transformation

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Flexible Non-Terminals for Dependency Tree-to-Tree Reordering

John Richardson, Fabien Cromierès, Toshiaki Nakazawa, Sadao Kurohashi

Flexible Non-Terminals for Dependency Tree-to-Tree Reordering

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Probabilistic Models for Learning a Semantic Parser Lexicon

Jayant Krishnamurthy

Probabilistic Models for Learning a Semantic Parser Lexicon

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Incorporating Structural Alignment Biases into an Attentional Neural Translation Model

Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer, Gholamreza Haffari

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model

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Distinguishing Literal and Non-Literal Usage of German Particle Verbs

Maximilian Köper, Sabine Schulte im Walde

Distinguishing Literal and Non-Literal Usage of German Particle Verbs

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Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

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LSTM Neural Reordering Feature for Statistical Machine Translation

Yiming Cui, Shijin Wang, Jianfeng Li

LSTM Neural Reordering Feature for Statistical Machine Translation

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A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James F. Allen

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

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Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding

Yangyang Shi, Kaisheng Yao, Hu Chen, Dong Yu, Yi-Cheng Pan, Mei-Yuh Hwang

Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding

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A Joint Model of Orthography and Morphological Segmentation

Ryan Cotterell, Tim Vieira, Hinrich Schütze

A Joint Model of Orthography and Morphological Segmentation

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An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation

Colin Cherry

An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation

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Improve Chinese Word Embeddings by Exploiting Internal Structure

Jian Xu, Jiawei Liu, Liangang Zhang, Zhengyu Li, Huanhuan Chen

Improve Chinese Word Embeddings by Exploiting Internal Structure

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Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features

Michael Wiegand, Marc Schulder, Josef Ruppenhofer

Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features

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Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation

He He, Jordan L. Boyd-Graber, Hal Daumé III

Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation

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The Role of Context Types and Dimensionality in Learning Word Embeddings

Oren Melamud, David McClosky, Siddharth Patwardhan, Mohit Bansal

The Role of Context Types and Dimensionality in Learning Word Embeddings

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Search Space Pruning: A Simple Solution for Better Coreference Resolvers

Nafise Sadat Moosavi, Michael Strube

Search Space Pruning: A Simple Solution for Better Coreference Resolvers

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Joint Learning Templates and Slots for Event Schema Induction

Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui

Joint Learning Templates and Slots for Event Schema Induction

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Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network

Peilu Wang, Yao Qian, Frank K. Soong, Lei He, Hai Zhao

Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network

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Phonological Pun-derstanding

Aaron Jaech, Rik Koncel-Kedziorski, Mari Ostendorf

Phonological Pun-derstanding

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Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

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PIC a Different Word: A Simple Model for Lexical Substitution in Context

Stephen Roller, Katrin Erk

PIC a Different Word: A Simple Model for Lexical Substitution in Context

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A Novel Approach to Dropped Pronoun Translation

Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way, Qun Liu

A Novel Approach to Dropped Pronoun Translation

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Improving sentence compression by learning to predict gaze

Sigrid Klerke, Yoav Goldberg, Anders Søgaard

Improving sentence compression by learning to predict gaze

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Learning to Compose Neural Networks for Question Answering

Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein

Learning to Compose Neural Networks for Question Answering

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Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics

Yvette Graham, Qun Liu

Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics

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Online Multilingual Topic Models with Multi-Level Hyperpriors

Kriste Krstovski, David A. Smith, Michael J. Kurtz

Online Multilingual Topic Models with Multi-Level Hyperpriors

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An Unsupervised Model of Orthographic Variation for Historical Document Transcription

Dan Garrette, Hannah Alpert-Abrams

An Unsupervised Model of Orthographic Variation for Historical Document Transcription

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Sentiment Composition of Words with Opposing Polarities

Svetlana Kiritchenko, Saif M. Mohammad

Sentiment Composition of Words with Opposing Polarities

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Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps

Luana Bulat, Douwe Kiela, Stephen Clark

Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps

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Integer Linear Programming for Discourse Parsing

Jérémy Perret, Stergos D. Afantenos, Nicholas Asher, Mathieu Morey

Integer Linear Programming for Discourse Parsing

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Visualizing and Understanding Neural Models in NLP

Jiwei Li, Xinlei Chen, Eduard H. Hovy, Dan Jurafsky

Visualizing and Understanding Neural Models in NLP

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Learning Distributed Representations of Sentences from Unlabelled Data

Felix Hill, Kyunghyun Cho, Anna Korhonen

Learning Distributed Representations of Sentences from Unlabelled Data

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Recurrent Memory Networks for Language Modeling

Ke M. Tran, Arianna Bisazza, Christof Monz

Recurrent Memory Networks for Language Modeling

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Counter-fitting Word Vectors to Linguistic Constraints

Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young

Counter-fitting Word Vectors to Linguistic Constraints

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Lexical Coherence Graph Modeling Using Word Embeddings

Mohsen Mesgar, Michael Strube

Lexical Coherence Graph Modeling Using Word Embeddings

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An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition

Wencan Luo, Fan Yang

An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition

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Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement

Hassan Sajjad, Francisco Guzmán, Nadir Durrani, Ahmed Abdelali, Houda Bouamor, Irina P. Temnikova, Stephan Vogel

Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement

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Weighting Finite-State Transductions With Neural Context

Pushpendre Rastogi, Ryan Cotterell, Jason Eisner

Weighting Finite-State Transductions With Neural Context

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Patterns of Wisdom: Discourse-Level Style in Multi-Sentence Quotations

Kyle Booten, Marti A. Hearst

Patterns of Wisdom: Discourse-Level Style in Multi-Sentence Quotations

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A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent

A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization

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Semi-supervised Question Retrieval with Gated Convolutions

Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi S. Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti, Lluís Màrquez

Semi-supervised Question Retrieval with Gated Convolutions

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Improving event prediction by representing script participants

Simon Ahrendt, Vera Demberg

Improving event prediction by representing script participants

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Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment

Yogarshi Vyas, Marine Carpuat

Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment

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Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer

Eun-Suk Yang, Young-Bum Kim, Ruhi Sarikaya, Yu-Seop Kim

Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer

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Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies

Barret Zoph, Ashish Vaswani, Jonathan May, Kevin Knight

Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies

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End-to-End Argumentation Mining in Student Essays

Isaac Persing, Vincent Ng

End-to-End Argumentation Mining in Student Essays

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Generation from Abstract Meaning Representation using Tree Transducers

Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell

Generation from Abstract Meaning Representation using Tree Transducers

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A Study of the Impact of Persuasive Argumentation in Political Debates

Amparo Elizabeth Cano Basave, Yulan He

A Study of the Impact of Persuasive Argumentation in Political Debates

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Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization

Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne

Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization

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Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework

Matthieu Constant, Joseph Le Roux, Nadi Tomeh

Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework

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Recurrent Neural Network Grammars

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

Recurrent Neural Network Grammars

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A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations

Hee-Geun Yoon, Hyun-Je Song, Seong-Bae Park, Se-Young Park

A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations

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Automatic Generation and Scoring of Positive Interpretations from Negated Statements

Eduardo Blanco, Zahra Sarabi

Automatic Generation and Scoring of Positive Interpretations from Negated Statements

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Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks

Rishabh Mehrotra, Prasanta Bhattacharya, Emine Yilmaz

Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks

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Assessing Relative Sentence Complexity using an Incremental CCG Parser

Bharat Ram Ambati, Siva Reddy, Mark Steedman

Assessing Relative Sentence Complexity using an Incremental CCG Parser

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Grounded Semantic Role Labeling

Shaohua Yang, Qiaozi Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu, Joyce Y. Chai

Grounded Semantic Role Labeling

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Neural Network-Based Abstract Generation for Opinions and Arguments

Lu Wang, Wang Ling

Neural Network-Based Abstract Generation for Opinions and Arguments

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Dynamic Entity Representation with Max-pooling Improves Machine Reading

Sosuke Kobayashi, Ran Tian, Naoaki Okazaki, Kentaro Inui

Dynamic Entity Representation with Max-pooling Improves Machine Reading

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Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text

Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi, Dipti Misra Sharma

Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text

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Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks

Wenduan Xu, Michael Auli, Stephen Clark

Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks

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Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings

Spandana Gella, Mirella Lapata, Frank Keller

Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings

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Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking

Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti

Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking

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Large-scale Multitask Learning for Machine Translation Quality Estimation

Kashif Shah, Lucia Specia

Large-scale Multitask Learning for Machine Translation Quality Estimation

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Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents

Rui Zhang, Honglak Lee, Dragomir R. Radev

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents

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Activity Modeling in Email

Ashequl Qadir, Michael Gamon, Patrick Pantel, Ahmed Hassan Awadallah

Activity Modeling in Email

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Building Chinese Affective Resources in Valence-Arousal Dimensions

Liang-Chih Yu, Lung-Hao Lee, Shuai Hao, Jin Wang, Yunchao He, Jun Hu, K. Robert Lai, Xue-jie Zhang

Building Chinese Affective Resources in Valence-Arousal Dimensions

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Part-of-Speech Tagging for Historical English

Yi Yang, Jacob Eisenstein

Part-of-Speech Tagging for Historical English

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Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods

Martin Riedl, Chris Biemann

Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods

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Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives

Roy Schwartz, Roi Reichart, Ari Rappoport

Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives

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Unsupervised Ranking Model for Entity Coreference Resolution

Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy

Unsupervised Ranking Model for Entity Coreference Resolution

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Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification

Aditya Mogadala, Achim Rettinger

Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification

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Syntactic Parsing of Web Queries with Question Intent

Yuval Pinter, Roi Reichart, Idan Szpektor

Syntactic Parsing of Web Queries with Question Intent

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MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification

Ye Zhang, Stephen Roller, Byron C. Wallace

MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification

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Clustering Paraphrases by Word Sense

Anne Cocos, Chris Callison-Burch

Clustering Paraphrases by Word Sense

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Right-truncatable Neural Word Embeddings

Jun Suzuki, Masaaki Nagata

Right-truncatable Neural Word Embeddings

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Joint Extraction of Events and Entities within a Document Context

Bishan Yang, Tom M. Mitchell

Joint Extraction of Events and Entities within a Document Context

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Morphological Inflection Generation Using Character Sequence to Sequence Learning

Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer

Morphological Inflection Generation Using Character Sequence to Sequence Learning

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Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings

Yuan Zhang, David Gaddy, Regina Barzilay, Tommi S. Jaakkola

Ten Pairs to Tag - Multilingual POS Tagging via Coarse Mapping between Embeddings

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Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships

Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships

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Making Dependency Labeling Simple, Fast and Accurate

Tianxiao Shen, Tao Lei, Regina Barzilay

Making Dependency Labeling Simple, Fast and Accurate

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Learning Global Features for Coreference Resolution

Sam Wiseman, Alexander M. Rush, Stuart M. Shieber

Learning Global Features for Coreference Resolution

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Shift-Reduce CCG Parsing using Neural Network Models

Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman

Shift-Reduce CCG Parsing using Neural Network Models

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Black Holes and White Rabbits: Metaphor Identification with Visual Features

Ekaterina Shutova, Douwe Kiela, Jean Maillard

Black Holes and White Rabbits: Metaphor Identification with Visual Features

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Interlocking Phrases in Phrase-based Statistical Machine Translation

Ye Kyaw Thu, Andrew M. Finch, Eiichiro Sumita

Interlocking Phrases in Phrase-based Statistical Machine Translation

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Inferring Psycholinguistic Properties of Words

Gustavo Paetzold, Lucia Specia

Inferring Psycholinguistic Properties of Words

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BIRA: Improved Predictive Exchange Word Clustering

Jon Dehdari, Liling Tan, Josef van Genabith

BIRA: Improved Predictive Exchange Word Clustering

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Multi-domain Neural Network Language Generation for Spoken Dialogue Systems

Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Steve J. Young

Multi-domain Neural Network Language Generation for Spoken Dialogue Systems

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Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement

Hua He, Jimmy J. Lin

Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement

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Psycholinguistic Features for Deceptive Role Detection in Werewolf

Codruta Gîrlea, Roxana Girju, Eyal Amir

Psycholinguistic Features for Deceptive Role Detection in Werewolf

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Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks

Yangtuo Peng, Hui Jiang

Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks

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Individual Variation in the Choice of Referential Form

Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben

Individual Variation in the Choice of Referential Form

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Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua

Derry Tanti Wijaya, Tom M. Mitchell

Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua

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Conversational Markers of Constructive Discussions

Vlad Niculae, Cristian Danescu-Niculescu-Mizil

Conversational Markers of Constructive Discussions

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Natural Language Communication with Robots

Yonatan Bisk, Deniz Yuret, Daniel Marcu

Natural Language Communication with Robots

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Neural Architectures for Named Entity Recognition

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer

Neural Architectures for Named Entity Recognition

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Intra-Topic Variability Normalization based on Linear Projection for Topic Classification

Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang, Yu Hu

Intra-Topic Variability Normalization based on Linear Projection for Topic Classification

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Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing

Ophélie Lacroix, Lauriane Aufrant, Guillaume Wisniewski, François Yvon

Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing

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Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning

Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, Daniel Marcu

Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning

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Automatic Prediction of Linguistic Decline in Writings of Subjects with Degenerative Dementia

Davy Weissenbacher, Travis A. Johnson, Laura Wojtulewicz, Amylou Dueck, Dona Locke, Richard J. Caselli, Graciela Gonzalez

Automatic Prediction of Linguistic Decline in Writings of Subjects with Degenerative Dementia

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PRIMT: A Pick-Revise Framework for Interactive Machine Translation

Shanbo Cheng, Shujian Huang, Huadong Chen, Xinyu Dai, Jiajun Chen

PRIMT: A Pick-Revise Framework for Interactive Machine Translation

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Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification

Raphael Rubino, Ekaterina Lapshinova-Koltunski, Josef van Genabith

Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification

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Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation

Tomoya Mizumoto, Yuji Matsumoto

Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation

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A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output

Hyun Kim, Jong-Hyeok Lee

A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output

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Learning a POS tagger for AAVE-like language

Anna Jørgensen, Dirk Hovy, Anders Søgaard

Learning a POS tagger for AAVE-like language

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Visual Storytelling

Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell

Visual Storytelling

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Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

Sumit Chopra, Michael Auli, Alexander M. Rush

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

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Opinion Holder and Target Extraction on Opinion Compounds - A Linguistic Approach

Michael Wiegand, Christine Bocionek, Josef Ruppenhofer

Opinion Holder and Target Extraction on Opinion Compounds - A Linguistic Approach

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A Diversity-Promoting Objective Function for Neural Conversation Models

Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan

A Diversity-Promoting Objective Function for Neural Conversation Models

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Entity-balanced Gaussian pLSA for Automated Comparison

Danish Contractor, Parag Singla, Mausam

Entity-balanced Gaussian pLSA for Automated Comparison

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Joint Event Extraction via Recurrent Neural Networks

Thien Huu Nguyen, Kyunghyun Cho, Ralph Grishman

Joint Event Extraction via Recurrent Neural Networks

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Controlling Politeness in Neural Machine Translation via Side Constraints

Rico Sennrich, Barry Haddow, Alexandra Birch

Controlling Politeness in Neural Machine Translation via Side Constraints

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Breaking the Closed World Assumption in Text Classification

Geli Fei, Bing Liu

Breaking the Closed World Assumption in Text Classification

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Geolocation for Twitter: Timing Matters

Mark Dredze, Miles Osborne, Prabhanjan Kambadur

Geolocation for Twitter: Timing Matters

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This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering

Dasha Bogdanova, Jennifer Foster

This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering

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Fast and Easy Short Answer Grading with High Accuracy

Md. Arafat Sultan, Cristobal Salazar, Tamara Sumner

Fast and Easy Short Answer Grading with High Accuracy

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Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation

Akiva Miura, Graham Neubig, Michael Paul, Satoshi Nakamura

Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation

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Bidirectional RNN for Medical Event Detection in Electronic Health Records

Abhyuday N. Jagannatha, Hong Yu

Bidirectional RNN for Medical Event Detection in Electronic Health Records

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Using Context to Predict the Purpose of Argumentative Writing Revisions

Fan Zhang, Diane J. Litman

Using Context to Predict the Purpose of Argumentative Writing Revisions

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Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders

Simon Suster, Ivan Titov, Gertjan van Noord

Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders

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Consensus Maximization Fusion of Probabilistic Information Extractors

Miguel Rodríguez, Sean Louis Goldberg, Daisy Zhe Wang

Consensus Maximization Fusion of Probabilistic Information Extractors

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Stating the Obvious: Extracting Visual Common Sense Knowledge

Mark Yatskar, Vicente Ordonez, Ali Farhadi

Stating the Obvious: Extracting Visual Common Sense Knowledge

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Clustering for Simultaneous Extraction of Aspects and Features from Reviews

Lu Chen, Justin Martineau, Doreen Cheng, Amit P. Sheth

Clustering for Simultaneous Extraction of Aspects and Features from Reviews

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Multi-Source Neural Translation

Barret Zoph, Kevin Knight

Multi-Source Neural Translation

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Automatic Summarization of Student Course Feedback

Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman

Automatic Summarization of Student Course Feedback

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A Long Short-Term Memory Framework for Predicting Humor in Dialogues

Dario Bertero, Pascale Fung

A Long Short-Term Memory Framework for Predicting Humor in Dialogues

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Expectation-Regulated Neural Model for Event Mention Extraction

Ching-Yun Chang, Zhiyang Teng, Yue Zhang

Expectation-Regulated Neural Model for Event Mention Extraction

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Automatically Inferring Implicit Properties in Similes

Ashequl Qadir, Ellen Riloff, Marilyn A. Walker

Automatically Inferring Implicit Properties in Similes

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An Attentional Model for Speech Translation Without Transcription

Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird, Trevor Cohn

An Attentional Model for Speech Translation Without Transcription

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A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models

Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein

A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models

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Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence

Gakuto Kurata, Bing Xiang, Bowen Zhou

Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence

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Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Ji Young Lee, Franck Dernoncourt

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

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Dependency Based Embeddings for Sentence Classification Tasks

Alexandros Komninos, Suresh Manandhar

Dependency Based Embeddings for Sentence Classification Tasks

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$K$-Embeddings: Learning Conceptual Embeddings for Words using Context

Thuy Vu, Douglas Stott Parker

$K$-Embeddings: Learning Conceptual Embeddings for Words using Context

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Incorporating Side Information into Recurrent Neural Network Language Models

Cong Duy Vu Hoang, Trevor Cohn, Gholamreza Haffari

Incorporating Side Information into Recurrent Neural Network Language Models

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Embedding Lexical Features via Low-Rank Tensors

Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley

Embedding Lexical Features via Low-Rank Tensors

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Emergent: a novel data-set for stance classification

William Ferreira, Andreas Vlachos

Emergent: a novel data-set for stance classification

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Cross-Domain Mining of Argumentative Text through Distant Supervision

Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, Benno Stein

Cross-Domain Mining of Argumentative Text through Distant Supervision

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Hierarchical Attention Networks for Document Classification

Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, Eduard H. Hovy

Hierarchical Attention Networks for Document Classification

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Phrasal Substitution of Idiomatic Expressions

Changsheng Liu, Rebecca Hwa

Phrasal Substitution of Idiomatic Expressions

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The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection

Junyi Jessy Li, Ani Nenkova

The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection

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Multilingual Relation Extraction using Compositional Universal Schema

Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum

Multilingual Relation Extraction using Compositional Universal Schema

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Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations

Patrick Ziering, Lonneke van der Plas

Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations

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Multimodal Semantic Learning from Child-Directed Input

Angeliki Lazaridou, Grzegorz Chrupala, Raquel Fernández, Marco Baroni

Multimodal Semantic Learning from Child-Directed Input

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Deep LSTM based Feature Mapping for Query Classification

Yangyang Shi, Kaisheng Yao, Le Tian, Daxin Jiang

Deep LSTM based Feature Mapping for Query Classification

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MAWPS: A Math Word Problem Repository

Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, Hannaneh Hajishirzi

MAWPS: A Math Word Problem Repository

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Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora

Kriste Krstovski, David A. Smith

Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora

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Learning to Recognize Ancillary Information for Automatic Paraphrase Identification

Simone Filice, Alessandro Moschitti

Learning to Recognize Ancillary Information for Automatic Paraphrase Identification

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Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

Matthew Francis-Landau, Greg Durrett, Dan Klein

Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks

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Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text

Aldrian Obaja Muis, Wei Lu

Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text

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Structured Prediction with Output Embeddings for Semantic Image Annotation

Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer

Structured Prediction with Output Embeddings for Semantic Image Annotation

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Retrofitting Sense-Specific Word Vectors Using Parallel Text

Allyson Ettinger, Philip Resnik, Marine Carpuat

Retrofitting Sense-Specific Word Vectors Using Parallel Text

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Effective Crowd Annotation for Relation Extraction

Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H. Lin, Xiao Ling, Daniel S. Weld

Effective Crowd Annotation for Relation Extraction

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Cross-genre Event Extraction with Knowledge Enrichment

Hao Li, Heng Ji

Cross-genre Event Extraction with Knowledge Enrichment

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Dynamic Feature Induction: The Last Gist to the State-of-the-Art

Jinho D. Choi

Dynamic Feature Induction: The Last Gist to the State-of-the-Art

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LSTM CCG Parsing

Mike Lewis, Kenton Lee, Luke Zettlemoyer

LSTM CCG Parsing

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STransE: a novel embedding model of entities and relationships in knowledge bases

Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson

STransE: a novel embedding model of entities and relationships in knowledge bases

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Cross-lingual Wikification Using Multilingual Embeddings

Chen-Tse Tsai, Dan Roth

Cross-lingual Wikification Using Multilingual Embeddings

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DAG-Structured Long Short-Term Memory for Semantic Compositionality

Xiao-Dan Zhu, Parinaz Sobhani, Hongyu Guo

DAG-Structured Long Short-Term Memory for Semantic Compositionality

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Transition-Based Syntactic Linearization with Lookahead Features

Ratish Puduppully, Yue Zhang, Manish Shrivastava

Transition-Based Syntactic Linearization with Lookahead Features

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Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling

Niko Schenk, Christian Chiarcos

Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling

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A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap

Carolin Haas, Stefan Riezler

A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap

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Statistical Modeling of Creole Genesis

Yugo Murawaki

Statistical Modeling of Creole Genesis

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Joint Learning with Global Inference for Comment Classification in Community Question Answering

Shafiq R. Joty, Lluís Màrquez, Preslav Nakov

Joint Learning with Global Inference for Comment Classification in Community Question Answering

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Knowledge-Guided Linguistic Rewrites for Inference Rule Verification

Prachi Jain, Mausam

Knowledge-Guided Linguistic Rewrites for Inference Rule Verification

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Grammatical error correction using neural machine translation

Zheng Yuan, Ted Briscoe

Grammatical error correction using neural machine translation

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Integrating Morphological Desegmentation into Phrase-based Decoding

Mohammad Salameh, Colin Cherry, Grzegorz Kondrak

Integrating Morphological Desegmentation into Phrase-based Decoding

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Comparing Convolutional Neural Networks to Traditional Models for Slot Filling

Heike Adel, Benjamin Roth, Hinrich Schütze

Comparing Convolutional Neural Networks to Traditional Models for Slot Filling

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Conversational Flow in Oxford-style Debates

Justine Zhang, Ravi Kumar, Sujith Ravi, Cristian Danescu-Niculescu-Mizil

Conversational Flow in Oxford-style Debates

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The Sensitivity of Topic Coherence Evaluation to Topic Cardinality

Jey Han Lau, Timothy Baldwin

The Sensitivity of Topic Coherence Evaluation to Topic Cardinality

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Combining Recurrent and Convolutional Neural Networks for Relation Classification

Ngoc Thang Vu, Heike Adel, Pankaj Gupta, Hinrich Schütze

Combining Recurrent and Convolutional Neural Networks for Relation Classification

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Top-down Tree Long Short-Term Memory Networks

Xingxing Zhang, Liang Lu, Mirella Lapata

Top-down Tree Long Short-Term Memory Networks

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What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Hongyuan Mei, Mohit Bansal, Matthew R. Walter

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

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Questioning Arbitrariness in Language: a Data-Driven Study of Conventional Iconicity

Ekaterina Abramova, Raquel Fernández

Questioning Arbitrariness in Language: a Data-Driven Study of Conventional Iconicity

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Inter-document Contextual Language model

Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari

Inter-document Contextual Language model

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Learning Natural Language Inference with LSTM

Shuohang Wang, Jing Jiang

Learning Natural Language Inference with LSTM

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Agreement on Target-bidirectional Neural Machine Translation

Lemao Liu, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita

Agreement on Target-bidirectional Neural Machine Translation

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Bayesian Supervised Domain Adaptation for Short Text Similarity

Md. Arafat Sultan, Jordan L. Boyd-Graber, Tamara Sumner

Bayesian Supervised Domain Adaptation for Short Text Similarity

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Multilingual Language Processing From Bytes

Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya

Multilingual Language Processing From Bytes

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Supertagging With LSTMs

Ashish Vaswani, Yonatan Bisk, Kenji Sagae, Ryan Musa

Supertagging With LSTMs

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Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism

Orhan Firat, Kyunghyun Cho, Yoshua Bengio

Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism

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