ACL Conference on Empirical Methods in Natural Language Processing, EMNLP 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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Variational Neural Machine Translation

Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang

Variational Neural Machine Translation

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A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs

Kristina Toutanova, Chris Brockett, Ke M. Tran, Saleema Amershi

A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs

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Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?

Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, Dhruv Batra

Human Attention in Visual Question Answering: Do Humans and Deep Networks look at the same regions?

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Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network

Peng Shi, Zhiyang Teng, Yue Zhang

Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network

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Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities

Yi Yang, Ming-Wei Chang, Jacob Eisenstein

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities

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Detecting and Characterizing Events

Allison June-Barlow Chaney, Hanna M. Wallach, Matthew Connelly, David M. Blei

Detecting and Characterizing Events

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LSTM Shift-Reduce CCG Parsing

Wenduan Xu

LSTM Shift-Reduce CCG Parsing

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Sort Story: Sorting Jumbled Images and Captions into Stories

Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohit Bansal

Sort Story: Sorting Jumbled Images and Captions into Stories

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A Theme-Rewriting Approach for Generating Algebra Word Problems

Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi

A Theme-Rewriting Approach for Generating Algebra Word Problems

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Generalizing and Hybridizing Count-based and Neural Language Models

Graham Neubig, Chris Dyer

Generalizing and Hybridizing Count-based and Neural Language Models

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Global Neural CCG Parsing with Optimality Guarantees

Kenton Lee, Mike Lewis, Luke Zettlemoyer

Global Neural CCG Parsing with Optimality Guarantees

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Generating Coherent Summaries of Scientific Articles Using Coherence Patterns

Daraksha Parveen, Mohsen Mesgar, Michael Strube

Generating Coherent Summaries of Scientific Articles Using Coherence Patterns

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Analyzing Framing through the Casts of Characters in the News

Dallas Card, Justin H. Gross, Amber E. Boydstun, Noah A. Smith

Analyzing Framing through the Casts of Characters in the News

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Robust Gram Embeddings

Taygun Kekec, David M. J. Tax

Robust Gram Embeddings

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Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation

Yu-Yang Huang, Shou-De Lin

Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation

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Convolutional Neural Network Language Models

Ngoc-Quan Pham, Germán Kruszewski, Gemma Boleda

Convolutional Neural Network Language Models

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Learning Connective-based Word Representations for Implicit Discourse Relation Identification

Chloé Braud, Pascal Denis

Learning Connective-based Word Representations for Implicit Discourse Relation Identification

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Tense Manages to Predict Implicative Behavior in Verbs

Ellie Pavlick, Chris Callison-Burch

Tense Manages to Predict Implicative Behavior in Verbs

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Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention

Yang Liu, Sujian Li

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention

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Combining Supervised and Unsupervised Enembles for Knowledge Base Population

Nazneen Fatema Rajani, Raymond J. Mooney

Combining Supervised and Unsupervised Enembles for Knowledge Base Population

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Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

Mikel Artetxe, Gorka Labaka, Eneko Agirre

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

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Nonparametric Bayesian Models for Spoken Language Understanding

Kei Wakabayashi, Johane Takeuchi, Kotaro Funakoshi, Mikio Nakano

Nonparametric Bayesian Models for Spoken Language Understanding

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Event participant modelling with neural networks

Ottokar Tilk, Vera Demberg, Asad B. Sayeed, Dietrich Klakow, Stefan Thater

Event participant modelling with neural networks

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Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings

Akash Bharadwaj, David R. Mortensen, Chris Dyer, Jaime G. Carbonell

Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings

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POLY: Mining Relational Paraphrases from Multilingual Sentences

Adam Grycner, Gerhard Weikum

POLY: Mining Relational Paraphrases from Multilingual Sentences

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Learning to Generate Compositional Color Descriptions

Will Monroe, Noah D. Goodman, Christopher Potts

Learning to Generate Compositional Color Descriptions

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Human-in-the-Loop Parsing

Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer

Human-in-the-Loop Parsing

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Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets

Lei Shu, Bing Liu, Hu Xu, Annice Kim

Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets

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Nested Propositions in Open Information Extraction

Nikita Bhutani, H. V. Jagadish, Dragomir R. Radev

Nested Propositions in Open Information Extraction

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

Jiacheng Xu, Danlu Chen, Xipeng Qiu, Xuanjing Huang

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

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Learning Robust Representations of Text

Yitong Li, Trevor Cohn, Timothy Baldwin

Learning Robust Representations of Text

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Rationalizing Neural Predictions

Tao Lei, Regina Barzilay, Tommi S. Jaakkola

Rationalizing Neural Predictions

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Learning to Answer Questions from Wikipedia Infoboxes

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

Learning to Answer Questions from Wikipedia Infoboxes

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Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding

Huazheng Wang, Fei Tian, Bin Gao, Chengjieren Zhu, Jiang Bian, Tie-Yan Liu

Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding

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Structured prediction models for RNN based sequence labeling in clinical text

Abhyuday Jagannatha, Hong Yu

Structured prediction models for RNN based sequence labeling in clinical text

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An Evaluation of Parser Robustness for Ungrammatical Sentences

Homa B. Hashemi, Rebecca Hwa

An Evaluation of Parser Robustness for Ungrammatical Sentences

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Identifying Dogmatism in Social Media: Signals and Models

Ethan Fast, Eric Horvitz

Identifying Dogmatism in Social Media: Signals and Models

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

Ivan Habernal, Iryna Gurevych

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

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Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network

Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai, Julien Kloetzer

Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network

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All Fingers are not Equal: Intensity of References in Scientific Articles

Tanmoy Chakraborty, Ramasuri Narayanam

All Fingers are not Equal: Intensity of References in Scientific Articles

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A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification

Lianhui Qin, Zhisong Zhang, Hai Zhao

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification

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Learning to Identify Metaphors from a Corpus of Proverbs

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

Learning to Identify Metaphors from a Corpus of Proverbs

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Event-Driven Emotion Cause Extraction with Corpus Construction

Lin Gui, Dongyin Wu, Ruifeng Xu, Qin Lu, Yu Zhou

Event-Driven Emotion Cause Extraction with Corpus Construction

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

Christopher Rohlfs, Sunandan Chakraborty, Lakshminarayanan Subramanian

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

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SimpleScience: Lexical Simplification of Scientific Terminology

Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar

SimpleScience: Lexical Simplification of Scientific Terminology

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Vector-space models for PPDB paraphrase ranking in context

Marianna Apidianaki

Vector-space models for PPDB paraphrase ranking in context

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A Neural Approach to Automated Essay Scoring

Kaveh Taghipour, Hwee Tou Ng

A Neural Approach to Automated Essay Scoring

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Exploiting Source-side Monolingual Data in Neural Machine Translation

Jiajun Zhang, Chengqing Zong

Exploiting Source-side Monolingual Data in Neural Machine Translation

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Context-Dependent Sense Embedding

Lin Qiu, Kewei Tu, Yong Yu

Context-Dependent Sense Embedding

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Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing

Ilan Tchernowitz, Liron Yedidsion, Roi Reichart

Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing

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Long Short-Term Memory-Networks for Machine Reading

Jianpeng Cheng, Li Dong, Mirella Lapata

Long Short-Term Memory-Networks for Machine Reading

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Morphological Segmentation Inside-Out

Ryan Cotterell, Arun Kumar, Hinrich Schütze

Morphological Segmentation Inside-Out

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Incorporating Discrete Translation Lexicons into Neural Machine Translation

Philip Arthur, Graham Neubig, Satoshi Nakamura

Incorporating Discrete Translation Lexicons into Neural Machine Translation

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Globally Coherent Text Generation with Neural Checklist Models

Chloé Kiddon, Luke Zettlemoyer, Yejin Choi

Globally Coherent Text Generation with Neural Checklist Models

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Unsupervised Timeline Generation for Wikipedia History Articles

Sandro Bauer, Simone Teufel

Unsupervised Timeline Generation for Wikipedia History Articles

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A Neural Network for Coordination Boundary Prediction

Jessica Ficler, Yoav Goldberg

A Neural Network for Coordination Boundary Prediction

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Transfer Learning for Low-Resource Neural Machine Translation

Barret Zoph, Deniz Yuret, Jonathan May, Kevin Knight

Transfer Learning for Low-Resource Neural Machine Translation

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Orthographic Syllable as basic unit for SMT between Related Languages

Anoop Kunchukuttan, Pushpak Bhattacharyya

Orthographic Syllable as basic unit for SMT between Related Languages

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AMR Parsing with an Incremental Joint Model

Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, Weiguang Qu, Ran Li, Yanhui Gu

AMR Parsing with an Incremental Joint Model

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Gated Word-Character Recurrent Language Model

Yasumasa Miyamoto, Kyunghyun Cho

Gated Word-Character Recurrent Language Model

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A Graph Degeneracy-based Approach to Keyword Extraction

Antoine J.-P. Tixier, Fragkiskos D. Malliaros, Michalis Vazirgiannis

A Graph Degeneracy-based Approach to Keyword Extraction

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Extracting Aspect Specific Opinion Expressions

Abhishek Laddha, Arjun Mukherjee

Extracting Aspect Specific Opinion Expressions

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Context-Sensitive Lexicon Features for Neural Sentiment Analysis

Zhiyang Teng, Duy-Tin Vo, Yue Zhang

Context-Sensitive Lexicon Features for Neural Sentiment Analysis

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Rule Extraction for Tree-to-Tree Transducers by Cost Minimization

Pascual Martínez-Gómez, Yusuke Miyao

Rule Extraction for Tree-to-Tree Transducers by Cost Minimization

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

Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng

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

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News Stream Summarization using Burst Information Networks

Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui

News Stream Summarization using Burst Information Networks

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Latent Tree Language Model

Tomás Brychcín

Latent Tree Language Model

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WordRank: Learning Word Embeddings via Robust Ranking

Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan

WordRank: Learning Word Embeddings via Robust Ranking

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Long-Short Range Context Neural Networks for Language Modeling

Youssef Oualil, Mittul Singh, Clayton Greenberg, Dietrich Klakow

Long-Short Range Context Neural Networks for Language Modeling

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Analyzing the Behavior of Visual Question Answering Models

Aishwarya Agrawal, Dhruv Batra, Devi Parikh

Analyzing the Behavior of Visual Question Answering Models

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Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts

Masashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto

Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts

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Antecedent Selection for Sluicing: Structure and Content

Pranav Anand, Daniel Hardt

Antecedent Selection for Sluicing: Structure and Content

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Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

James Cross, Liang Huang

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles

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Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts

Cole Peterson, Alona Fyshe

Poet Admits // Mute Cypher: Beam Search to find Mutually Enciphering Poetic Texts

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Improving Users' Demographic Prediction via the Videos They Talk about

Yuan Wang, Yang Xiao, Chao Ma, Zhen Xiao

Improving Users' Demographic Prediction via the Videos They Talk about

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Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task

Libby Barak, Adele E. Goldberg, Suzanne Stevenson

Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task

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The Structured Weighted Violations Perceptron Algorithm

Rotem Dror, Roi Reichart

The Structured Weighted Violations Perceptron Algorithm

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Weakly Supervised Tweet Stance Classification by Relational Bootstrapping

Javid Ebrahimi, Dejing Dou, Daniel Lowd

Weakly Supervised Tweet Stance Classification by Relational Bootstrapping

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Unsupervised Neural Dependency Parsing

Yong Jiang, Wenjuan Han, Kewei Tu

Unsupervised Neural Dependency Parsing

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Capturing Argument Relationship for Chinese Semantic Role Labeling

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

Capturing Argument Relationship for Chinese Semantic Role Labeling

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Sequence-Level Knowledge Distillation

Yoon Kim, Alexander M. Rush

Sequence-Level Knowledge Distillation

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Non-uniform Language Detection in Technical Writing

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

Non-uniform Language Detection in Technical Writing

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Semi-Supervised Learning of Sequence Models with Method of Moments

Zita Marinho, André F. T. Martins, Shay B. Cohen, Noah A. Smith

Semi-Supervised Learning of Sequence Models with Method of Moments

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Zero-Resource Translation with Multi-Lingual Neural Machine Translation

Orhan Firat, Baskaran Sankaran, Yaser Al-Onaizan, Fatos T. Yarman-Vural, Kyunghyun Cho

Zero-Resource Translation with Multi-Lingual Neural Machine Translation

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Training with Exploration Improves a Greedy Stack LSTM Parser

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

Training with Exploration Improves a Greedy Stack LSTM Parser

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

Shamil Chollampatt, Duc Tam Hoang, Hwee Tou Ng

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

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Numerically Grounded Language Models for Semantic Error Correction

Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel

Numerically Grounded Language Models for Semantic Error Correction

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Neural Sentiment Classification with User and Product Attention

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

Neural Sentiment Classification with User and Product Attention

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Charagram: Embedding Words and Sentences via Character n-grams

John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu

Charagram: Embedding Words and Sentences via Character n-grams

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Improving Semantic Parsing via Answer Type Inference

Semih Yavuz, Izzeddin Gur, Yu Su, Mudhakar Srivatsa, Xifeng Yan

Improving Semantic Parsing via Answer Type Inference

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Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping

Jian Ni, Radu Florian

Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping

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Extracting Subevents via an Effective Two-phase Approach

Allison Badgett, Ruihong Huang

Extracting Subevents via an Effective Two-phase Approach

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Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction

Hiroshi Noji, Yusuke Miyao, Mark Johnson

Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction

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LAMB: A Good Shepherd of Morphologically Rich Languages

Sebastian Ebert, Thomas Müller, Hinrich Schütze

LAMB: A Good Shepherd of Morphologically Rich Languages

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Jointly Embedding Knowledge Graphs and Logical Rules

Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo

Jointly Embedding Knowledge Graphs and Logical Rules

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Morphological Priors for Probabilistic Neural Word Embeddings

Parminder Bhatia, Robert Guthrie, Jacob Eisenstein

Morphological Priors for Probabilistic Neural Word Embeddings

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Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary

Qi Zhang, Jin Qian, Ya Guo, Yaqian Zhou, Xuanjing Huang

Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary

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Characterizing the Language of Online Communities and its Relation to Community Reception

Trang Tran, Mari Ostendorf

Characterizing the Language of Online Communities and its Relation to Community Reception

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Does 'well-being' translate on Twitter?

Laura Smith, Salvatore Giorgi, Rishi Solanki, Johannes C. Eichstaedt, H. Andrew Schwartz, Muhammad Abdul-Mageed, Anneke Buffone, Lyle H. Ungar

Does 'well-being' translate on Twitter?

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Interpreting Neural Networks to Improve Politeness Comprehension

Malika Aubakirova, Mohit Bansal

Interpreting Neural Networks to Improve Politeness Comprehension

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Reasoning about Pragmatics with Neural Listeners and Speakers

Jacob Andreas, Dan Klein

Reasoning about Pragmatics with Neural Listeners and Speakers

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

Stephen Roller, Katrin Erk

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

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Friends with Motives: Using Text to Infer Influence on SCOTUS

Yanchuan Sim, Bryan R. Routledge, Noah A. Smith

Friends with Motives: Using Text to Infer Influence on SCOTUS

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Exploiting Sentence Similarities for Better Alignments

Tao Li, Vivek Srikumar

Exploiting Sentence Similarities for Better Alignments

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Deep Multi-Task Learning with Shared Memory for Text Classification

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Deep Multi-Task Learning with Shared Memory for Text Classification

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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, Niloy Ganguly

Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?

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A Semiparametric Model for Bayesian Reader Identification

Ahmed AbdelWahab, Reinhold Kliegl, Niels Landwehr

A Semiparametric Model for Bayesian Reader Identification

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

Elliot Schumacher, Maxine Eskénazi, Gwen A. Frishkoff, Kevyn Collins-Thompson

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

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Neural Headline Generation on Abstract Meaning Representation

Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata

Neural Headline Generation on Abstract Meaning Representation

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Beyond Canonical Texts: A Computational Analysis of Fanfiction

Smitha Milli, David Bamman

Beyond Canonical Texts: A Computational Analysis of Fanfiction

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Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter

Qi Zhang, Yang Wang, Yeyun Gong, Xuanjing Huang

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter

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Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition

Tanmoy Mukherjee, Timothy M. Hospedales

Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition

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Deep Reinforcement Learning for Dialogue Generation

Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao

Deep Reinforcement Learning for Dialogue Generation

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Analyzing Linguistic Knowledge in Sequential Model of Sentence

Peng Qian, Xipeng Qiu, Xuanjing Huang

Analyzing Linguistic Knowledge in Sequential Model of Sentence

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Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning

Karthik Narasimhan, Adam Yala, Regina Barzilay

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning

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Named Entity Recognition for Novel Types by Transfer Learning

Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin

Named Entity Recognition for Novel Types by Transfer Learning

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Equation Parsing : Mapping Sentences to Grounded Equations

Subhro Roy, Shyam Upadhyay, Dan Roth

Equation Parsing : Mapping Sentences to Grounded Equations

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Personalized Emphasis Framing for Persuasive Message Generation

Tao Ding, Shimei Pan

Personalized Emphasis Framing for Persuasive Message Generation

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Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages

Alan Akbik, Vishwajeet Kumar, Yunyao Li

Towards Semi-Automatic Generation of Proposition Banks for Low-Resource Languages

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A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis

Sebastian Ruder, Parsa Ghaffari, John G. Breslin

A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis

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Neural Text Generation from Structured Data with Application to the Biography Domain

Rémi Lebret, David Grangier, Michael Auli

Neural Text Generation from Structured Data with Application to the Biography Domain

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Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis

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Universal Decompositional Semantics on Universal Dependencies

Aaron Steven White, Drew Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme

Universal Decompositional Semantics on Universal Dependencies

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Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms

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

Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms

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Key-Value Memory Networks for Directly Reading Documents

Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston

Key-Value Memory Networks for Directly Reading Documents

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Learning a Lexicon and Translation Model from Phoneme Lattices

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

Learning a Lexicon and Translation Model from Phoneme Lattices

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An Embedding Model for Predicting Roll-Call Votes

Peter Kraft, Hirsh Jain, Alexander M. Rush

An Embedding Model for Predicting Roll-Call Votes

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

Haoyan Xu, Brian Murphy, Alona Fyshe

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

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Discourse Parsing with Attention-based Hierarchical Neural Networks

Qi Li, Tianshi Li, Baobao Chang

Discourse Parsing with Attention-based Hierarchical Neural Networks

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

Tim Vieira, Ryan Cotterell, Jason Eisner

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

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Exploring Semantic Representation in Brain Activity Using Word Embeddings

Yu-Ping Ruan, Zhen-Hua Ling, Yu Hu

Exploring Semantic Representation in Brain Activity Using Word Embeddings

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Demographic Dialectal Variation in Social Media: A Case Study of African-American English

Su Lin Blodgett, Lisa Green, Brendan T. O'Connor

Demographic Dialectal Variation in Social Media: A Case Study of African-American English

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Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems

Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems

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An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages

Antonios Anastasopoulos, David Chiang, Long Duong

An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages

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Unsupervised Text Recap Extraction for TV Series

Hongliang Yu, Shikun Zhang, Louis-Philippe Morency

Unsupervised Text Recap Extraction for TV Series

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Deep Neural Networks with Massive Learned Knowledge

Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing

Deep Neural Networks with Massive Learned Knowledge

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Controlling Output Length in Neural Encoder-Decoders

Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura

Controlling Output Length in Neural Encoder-Decoders

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Fluency detection on communication networks

Tom Lippincott, Benjamin Van Durme

Fluency detection on communication networks

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Towards a Convex HMM Surrogate for Word Alignment

Andrei Simion, Michael Collins, Cliff Stein

Towards a Convex HMM Surrogate for Word Alignment

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Learning to Generate Textual Data

Guillaume Bouchard, Pontus Stenetorp, Sebastian Riedel

Learning to Generate Textual Data

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Modeling Skip-Grams for Event Detection with Convolutional Neural Networks

Thien Huu Nguyen, Ralph Grishman

Modeling Skip-Grams for Event Detection with Convolutional Neural Networks

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Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity

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

Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity

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Character Sequence Models for Colorful Words

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

Character Sequence Models for Colorful Words

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The Effects of Data Size and Frequency Range on Distributional Semantic Models

Magnus Sahlgren, Alessandro Lenci

The Effects of Data Size and Frequency Range on Distributional Semantic Models

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Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration

Changsong Liu, Shaohua Yang, Sari Saba-Sadiya, Nishant Shukla, Yunzhong He, Song-Chun Zhu, Joyce Yue Chai

Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration

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Transition-Based Dependency Parsing with Heuristic Backtracking

Jacob Buckman, Miguel Ballesteros, Chris Dyer

Transition-Based Dependency Parsing with Heuristic Backtracking

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Multi-Granularity Chinese Word Embedding

Rongchao Yin, Quan Wang, Peng Li, Rui Li, Bin Wang

Multi-Granularity Chinese Word Embedding

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

Courtney Napoles, Keisuke Sakaguchi, Joel R. Tetreault

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

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Addressee and Response Selection for Multi-Party Conversation

Hiroki Ouchi, Yuta Tsuboi

Addressee and Response Selection for Multi-Party Conversation

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Online Segment to Segment Neural Transduction

Lei Yu, Jan Buys, Phil Blunsom

Online Segment to Segment Neural Transduction

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Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data

Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiao-Li Li, Guangxia Li

Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data

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Building an Evaluation Scale using Item Response Theory

John P. Lalor, Hao Wu, Hong Yu

Building an Evaluation Scale using Item Response Theory

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Deep Reinforcement Learning for Mention-Ranking Coreference Models

Kevin Clark, Christopher D. Manning

Deep Reinforcement Learning for Mention-Ranking Coreference Models

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Porting an Open Information Extraction System from English to German

Tobias Falke, Gabriel Stanovsky, Iryna Gurevych, Ido Dagan

Porting an Open Information Extraction System from English to German

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Encoding Temporal Information for Time-Aware Link Prediction

Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui

Encoding Temporal Information for Time-Aware Link Prediction

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

Gakuto Kurata, Bing Xiang, Bowen Zhou, Mo Yu

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

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Mining Inference Formulas by Goal-Directed Random Walks

Zhuoyu Wei, Jun Zhao, Kang Liu

Mining Inference Formulas by Goal-Directed Random Walks

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Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems

Dario Bertero, Farhad Bin Siddique, Chien-Sheng Wu, Yan Wan, Ricky Ho Yin Chan, Pascale Fung

Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems

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Unsupervised Word Alignment by Agreement Under ITG Constraint

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

Unsupervised Word Alignment by Agreement Under ITG Constraint

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Solving and Generating Chinese Character Riddles

Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou

Solving and Generating Chinese Character Riddles

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Are Word Embedding-based Features Useful for Sarcasm Detection?

Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman

Are Word Embedding-based Features Useful for Sarcasm Detection?

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Memory-enhanced Decoder for Neural Machine Translation

Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu

Memory-enhanced Decoder for Neural Machine Translation

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Relation Schema Induction using Tensor Factorization with Side Information

Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar

Relation Schema Induction using Tensor Factorization with Side Information

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Recurrent Residual Learning for Sequence Classification

Yiren Wang, Fei Tian

Recurrent Residual Learning for Sequence Classification

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Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes

Gordon Christie, Ankit Laddha, Aishwarya Agrawal, Stanislaw Antol, Yash Goyal, Kevin Kochersberger, Dhruv Batra

Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes

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Syntactic Parsing of Web Queries

Xiangyan Sun, Haixun Wang, Yanghua Xiao, Zhongyuan Wang

Syntactic Parsing of Web Queries

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Semantic Parsing to Probabilistic Programs for Situated Question Answering

Jayant Krishnamurthy, Oyvind Tafjord, Aniruddha Kembhavi

Semantic Parsing to Probabilistic Programs for Situated Question Answering

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

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

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

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

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

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

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Event Detection and Co-reference with Minimal Supervision

Haoruo Peng, Yangqiu Song, Dan Roth

Event Detection and Co-reference with Minimal Supervision

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Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network

Anh Tuan Luu, Yi Tay, Siu Cheung Hui, See-Kiong Ng

Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network

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Neural Morphological Analysis: Encoding-Decoding Canonical Segments

Katharina Kann, Ryan Cotterell, Hinrich Schütze

Neural Morphological Analysis: Encoding-Decoding Canonical Segments

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Semantic Parsing with Semi-Supervised Sequential Autoencoders

Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann

Semantic Parsing with Semi-Supervised Sequential Autoencoders

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Supervised Keyphrase Extraction as Positive Unlabeled Learning

Lucas Sterckx, Cornelia Caragea, Thomas Demeester, Chris Develder

Supervised Keyphrase Extraction as Positive Unlabeled Learning

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MixKMeans: Clustering Question-Answer Archives

Deepak P

MixKMeans: Clustering Question-Answer Archives

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A Neural Network Architecture for Multilingual Punctuation Generation

Miguel Ballesteros, Leo Wanner

A Neural Network Architecture for Multilingual Punctuation Generation

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Attention-based LSTM Network for Cross-Lingual Sentiment Classification

Xinjie Zhou, Xiaojun Wan, Jianguo Xiao

Attention-based LSTM Network for Cross-Lingual Sentiment Classification

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Evaluating Induced CCG Parsers on Grounded Semantic Parsing

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

Evaluating Induced CCG Parsers on Grounded Semantic Parsing

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

Ben Russell, Duncan Gillespie

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

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TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter

Jeniya Tabassum, Alan Ritter, Wei Xu

TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter

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Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction

Marcin Junczys-Dowmunt, Roman Grundkiewicz

Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction

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Speculation and Negation Scope Detection via Convolutional Neural Networks

Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou, Zhunchen Luo, Wei Luo

Speculation and Negation Scope Detection via Convolutional Neural Networks

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Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser

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

Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser

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Anchoring and Agreement in Syntactic Annotations

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

Anchoring and Agreement in Syntactic Annotations

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

Markus Dollmann, Michaela Geierhos

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

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

Toshiaki Nakazawa, John Richardson, Sadao Kurohashi

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

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Parsing as Language Modeling

Do Kook Choe, Eugene Charniak

Parsing as Language Modeling

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It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering

Preslav Nakov, Lluís Màrquez, Francisco Guzmán

It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering

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Language as a Latent Variable: Discrete Generative Models for Sentence Compression

Yishu Miao, Phil Blunsom

Language as a Latent Variable: Discrete Generative Models for Sentence Compression

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Automatic Features for Essay Scoring - An Empirical Study

Fei Dong, Yue Zhang

Automatic Features for Essay Scoring - An Empirical Study

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Distinguishing Past, On-going, and Future Events: The EventStatus Corpus

Ruihong Huang, Ignacio Cases, Dan Jurafsky, Cleo Condoravdi, Ellen Riloff

Distinguishing Past, On-going, and Future Events: The EventStatus Corpus

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The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues

Diane J. Litman, Susannah B. F. Paletz, Zahra Rahimi, Stefani Allegretti, Caitlin Rice

The Teams Corpus and Entrainment in Multi-Party Spoken Dialogues

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Why Neural Translations are the Right Length

Xing Shi, Kevin Knight, Deniz Yuret

Why Neural Translations are the Right Length

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

Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester

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

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Lifted Rule Injection for Relation Embeddings

Thomas Demeester, Tim Rocktäschel, Sebastian Riedel

Lifted Rule Injection for Relation Embeddings

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Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity

Kewei Tu

Modified Dirichlet Distribution: Allowing Negative Parameters to Induce Stronger Sparsity

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Rationale-Augmented Convolutional Neural Networks for Text Classification

Ye Zhang, Iain James Marshall, Byron C. Wallace

Rationale-Augmented Convolutional Neural Networks for Text Classification

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Generating Topical Poetry

Marjan Ghazvininejad, Xing Shi, Yejin Choi, Kevin Knight

Generating Topical Poetry

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Supervised Attentions for Neural Machine Translation

Haitao Mi, Zhiguo Wang, Abe Ittycheriah

Supervised Attentions for Neural Machine Translation

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Regularizing Text Categorization with Clusters of Words

Konstantinos Skianis, François Rousseau, Michalis Vazirgiannis

Regularizing Text Categorization with Clusters of Words

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Learning to Translate for Multilingual Question Answering

Ferhan Türe, Elizabeth Boschee

Learning to Translate for Multilingual Question Answering

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Aspect Level Sentiment Classification with Deep Memory Network

Duyu Tang, Bing Qin, Ting Liu

Aspect Level Sentiment Classification with Deep Memory Network

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AMR-to-text generation as a Traveling Salesman Problem

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

AMR-to-text generation as a Traveling Salesman Problem

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Improving Sparse Word Representations with Distributional Inference for Semantic Composition

Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir

Improving Sparse Word Representations with Distributional Inference for Semantic Composition

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PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification

Dominique Brunato, Andrea Cimino, Felice Dell'Orletta, Giulia Venturi

PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification

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How Transferable are Neural Networks in NLP Applications?

Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin

How Transferable are Neural Networks in NLP Applications?

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Modeling Human Reading with Neural Attention

Michael Hahn, Frank Keller

Modeling Human Reading with Neural Attention

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Conditional Generation and Snapshot Learning in Neural Dialogue Systems

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

Conditional Generation and Snapshot Learning in Neural Dialogue Systems

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Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics

Douwe Kiela, Anita Lilla Vero, Stephen Clark

Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics

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HUME: Human UCCA-Based Evaluation of Machine Translation

Alexandra Birch, Omri Abend, Ondrej Bojar, Barry Haddow

HUME: Human UCCA-Based Evaluation of Machine Translation

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A Decomposable Attention Model for Natural Language Inference

Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit

A Decomposable Attention Model for Natural Language Inference

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Natural Language Comprehension with the EpiReader

Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman

Natural Language Comprehension with the EpiReader

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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

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

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Creating Causal Embeddings for Question Answering with Minimal Supervision

Rebecca Sharp, Mihai Surdeanu, Peter Jansen, Peter Clark, Michael Hammond

Creating Causal Embeddings for Question Answering with Minimal Supervision

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Automatic Extraction of Implicit Interpretations from Modal Constructions

Jordan Sanders, Eduardo Blanco

Automatic Extraction of Implicit Interpretations from Modal Constructions

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Neural Shift-Reduce CCG Semantic Parsing

Dipendra Kumar Misra, Yoav Artzi

Neural Shift-Reduce CCG Semantic Parsing

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Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora

William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky

Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora

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Neural versus Phrase-Based Machine Translation Quality: a Case Study

Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, Marcello Federico

Neural versus Phrase-Based Machine Translation Quality: a Case Study

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AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding

Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han

AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding

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Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition

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

Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition

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Timeline extraction using distant supervision and joint inference

Savelie Cornegruta, Andreas Vlachos

Timeline extraction using distant supervision and joint inference

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Emotion Distribution Learning from Texts

Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng

Emotion Distribution Learning from Texts

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Learning Crosslingual Word Embeddings without Bilingual Corpora

Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn

Learning Crosslingual Word Embeddings without Bilingual Corpora

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Attention-based LSTM for Aspect-level Sentiment Classification

Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao

Attention-based LSTM for Aspect-level Sentiment Classification

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Sequence-to-Sequence Learning as Beam-Search Optimization

Sam Wiseman, Alexander M. Rush

Sequence-to-Sequence Learning as Beam-Search Optimization

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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, Michael Noseworthy, Laurent Charlin, Joelle Pineau

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

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Cross Sentence Inference for Process Knowledge

Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, Peter Clark

Cross Sentence Inference for Process Knowledge

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Length bias in Encoder Decoder Models and a Case for Global Conditioning

Pavel Sountsov, Sunita Sarawagi

Length bias in Encoder Decoder Models and a Case for Global Conditioning

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Enhanced Personalized Search using Social Data

Dong Zhou, Séamus Lawless, Xuan Wu, Wenyu Zhao, Jianxun Liu

Enhanced Personalized Search using Social Data

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Creating a Large Benchmark for Open Information Extraction

Gabriel Stanovsky, Ido Dagan

Creating a Large Benchmark for Open Information Extraction

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Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling

Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling

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Bi-directional Attention with Agreement for Dependency Parsing

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

Bi-directional Attention with Agreement for Dependency Parsing

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IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations

Naoki Otani, Toshiaki Nakazawa, Daisuke Kawahara, Sadao Kurohashi

IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations

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Does String-Based Neural MT Learn Source Syntax?

Xing Shi, Inkit Padhi, Kevin Knight

Does String-Based Neural MT Learn Source Syntax?

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

William L. Hamilton, Jure Leskovec, Dan Jurafsky

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

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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

Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse

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

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

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

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Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation

Wenbin Jiang, Wen Zhang, Jinan Xu, Rangjia Cai

Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation

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Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification

Jianfei Yu, Jing Jiang

Learning Sentence Embeddings with Auxiliary Tasks for Cross-Domain Sentiment Classification

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Stance Detection with Bidirectional Conditional Encoding

Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva

Stance Detection with Bidirectional Conditional Encoding

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Multi-view Response Selection for Human-Computer Conversation

Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan

Multi-view Response Selection for Human-Computer Conversation

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Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning

Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang

Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning

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Character-Level Question Answering with Attention

Xiaodong He, David Golub

Character-Level Question Answering with Attention

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Understanding Negation in Positive Terms Using Syntactic Dependencies

Zahra Sarabi, Eduardo Blanco

Understanding Negation in Positive Terms Using Syntactic Dependencies

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The Gun Violence Database: A new task and data set for NLP

Ellie Pavlick, Heng Ji, Xiaoman Pan, Chris Callison-Burch

The Gun Violence Database: A new task and data set for NLP

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Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

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Learning to Represent Review with Tensor Decomposition for Spam Detection

Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao

Learning to Represent Review with Tensor Decomposition for Spam Detection

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Word Ordering Without Syntax

Allen Schmaltz, Alexander M. Rush, Stuart M. Shieber

Word Ordering Without Syntax

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On Generating Characteristic-rich Question Sets for QA Evaluation

Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, Xifeng Yan

On Generating Characteristic-rich Question Sets for QA Evaluation

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Natural Language Model Re-usability for Scaling to Different Domains

Young-Bum Kim, Alexandre Rochette, Ruhi Sarikaya

Natural Language Model Re-usability for Scaling to Different Domains

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De-Conflated Semantic Representations

Mohammad Taher Pilehvar, Nigel Collier

De-Conflated Semantic Representations

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Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions

Arijit Ray, Gordon Christie, Mohit Bansal, Dhruv Batra, Devi Parikh

Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions

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

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

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

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Variational Neural Discourse Relation Recognizer

Biao Zhang, Deyi Xiong, Jinsong Su, Qun Liu, Rongrong Ji, Hong Duan, Min Zhang

Variational Neural Discourse Relation Recognizer

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Learning to Recognize Discontiguous Entities

Aldrian Obaja Muis, Wei Lu

Learning to Recognize Discontiguous Entities

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Supervised Distributional Hypernym Discovery via Domain Adaptation

Luis Espinosa Anke, José Camacho-Collados, Claudio Delli Bovi, Horacio Saggion

Supervised Distributional Hypernym Discovery via Domain Adaptation

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A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification

Yunlun Yang, Yunhai Tong, Shulei Ma, Zhi-Hong Deng

A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification

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Learning to refine text based recommendations

Youyang Gu, Tao Lei, Regina Barzilay, Tommi S. Jaakkola

Learning to refine text based recommendations

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Neural Network for Heterogeneous Annotations

Hongshen Chen, Yue Zhang, Qun Liu

Neural Network for Heterogeneous Annotations

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Modelling Interaction of Sentence Pair with Coupled-LSTMs

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

Modelling Interaction of Sentence Pair with Coupled-LSTMs

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

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang

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

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A General Regularization Framework for Domain Adaptation

Wei Lu, Hai Leong Chieu, Jonathan Löfgren

A General Regularization Framework for Domain Adaptation

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Coverage Embedding Models for Neural Machine Translation

Haitao Mi, Baskaran Sankaran, Zhiguo Wang, Abe Ittycheriah

Coverage Embedding Models for Neural Machine Translation

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

Raymond Hendy Susanto, Hai Leong Chieu, Wei Lu

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

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