Accepted Papers: Main Conference
Thank you to all our reviewers. This year's
Best Reviewers have been identified by area chairs.
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A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli and James Allen
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A Corpus and Semantic Parser for Natural Language Querying of OpenStreetMap
Carolin Haas and Stefan Riezler
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A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan
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A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models
Yangfeng Ji, Gholamreza Haffari and Jacob Eisenstein
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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 Radev and Amanda Stent
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A Neural Network-Based Abstract Generation Method to Opinion Summarization
Lu Wang and Wang Ling
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A Novel Approach for Dropped Pronoun Translation
Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way and Qun Liu
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A Study of the Impact of Persuasive Argumentation in Political Debates
Amparo Elizabeth Cano Basave and Yulan He
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A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations
Hee-Geun Yoon, Hyun-Je Song and Seong-Bae Park
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Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics
Yvette Graham and Qun Liu
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Activity Modeling in Email
Ashequl Qadir, Michael Gamon, Patrick Pantel and Ahmed Awadallah
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An Attentional Model for Speech Translation Without Transcription
Long Duong, Antonios Anastasopoulos, Trevor Cohn, Steven Bird and David Chiang
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An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition
Wencan Luo and Fan Yang
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Automatic Generation and Scoring of Positive Interpretations from Negated Statements
Eduardo Blanco and Zahra Sarabi
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Automatic Prediction of Linguistic Decline in Writings of Patients with Degenerative Dementia
Davy Weissenbacher and Graciela Gonzalez
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Automatically Inferring Implicit Properties in Similes
Ashequl Qadir, Ellen Riloff and Marilyn Walker
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Bayesian Supervised Domain Adaptation for Short Text Similarity
Md Arafat Sultan, Jordan Boyd-Graber and Tamara Sumner
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Bidirectional RNN for Medical Event Detection in Electronic Health Records
Abhyuday Jagannatha and Hong Yu
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Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Suster, Ivan Titov and Gertjan van Noord
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Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification
Aditya Mogadala and Achim Rettinger
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Black Holes and White Rabbits: Metaphor Identification with Visual Features
Ekaterina Shutova, Douwe Kiela and Jean Maillard
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Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning
Janarthanan Rajendran, Mitesh M Khapra, Sarath Chandar and Balaraman Ravindran
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Clustering Paraphrases by Word Sense
Anne Cocos and Chris Callison-Burch
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Clustering for Simultaneous Extraction of Aspects and Features from Reviews
Lu Chen, Justin Martineau, Doreen Cheng and Amit Sheth
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Comparing Convolutional Neural Networks to Traditional Models for Slot Filling
Heike Adel, Benjamin Roth and Hinrich Schütze
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Consensus Maximization Fusion of Probabilistic Information Extractors
Miguel Rodriguez, Sean Goldberg and Daisy Zhe Wang
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Conversational Markers of Constructive Discussions
Vlad Niculae and Cristian Danescu-Niculescu-Mizil
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Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Question Answering
Kateryna Tymoshenko, Daniele Bonadiman and Alessandro Moschitti
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Cross-lingual Wikification Using Multilingual Embeddings
Chen-Tse Tsai and Dan Roth
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DAG-structured Recurent Neural Networks for Semantic Compositionality
Xiaodan Zhu, Parinaz Sobhani and Hongyu Guo
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Deep LSTM based Feature Mapping for Query Classification
Yangyang Shi, Kaisheng Yao, Le Tian and Daxin Jiang
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Semi-supervised Question Retrieval with Gated Convolutions
Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti and Lluís Màrquez
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Dependency Based Embeddings for Sentence Classification Tasks
Alexandros Komninos and Suresh Manandhar
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Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents
Rui Zhang, Honglak Lee and Dragomir Radev
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Distinguishing Literal and Non-Literal Usage of German Particle Verbs
Maximilian Köper and Sabine Schulte im Walde
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Dynamic Feature Induction: The Last Gist to the State-of-the-Art
Jinho D. Choi
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Effective Crowd Annotation for Relation Extraction
Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher Lin and Daniel Weld
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Embedding Lexical Features via Low-rank Tensors
Mo Yu, Mark Dredze, Raman Arora and Matthew R. Gormley
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Entity-balanced Gaussian pLSA for Automated Comparison
Danish Contractor, Parag Singla and Mausam
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Expectation-Regulated Neural Model for Event Mention Extraction
Ching-Yun Chang and Yue Zhang
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Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships
Mohit Iyyer, Anupam Guha and Jordan Boyd-Graber
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Flexible Non-Terminals for Dependency Tree-to-Tree Reordering
John Richardson, Fabien Cromieres, Toshiaki Nakazawa and Sadao Kurohashi
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Generation from Abstract Meaning Representation using Tree Transducers
Jeffrey Flanigan, Chris Dyer, Noah A. Smith and Jaime Carbonell
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Grounded Semantic Role Labeling
Shaohua Yang, Qiaozo Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu and Joyce Chai
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Hierarchical Attention Networks for Document Classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola and Eduard Hovy
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Improve Chinese Word Embeddings by Exploiting Internal Structure
Jian Xu, Jiawei Liu, Liangang Zhang, Zhengyu Li and Huanhuan Chen
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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 and Gholamreza Haffari
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Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification
Raphael Rubino, Ekaterina Lapshinova-Koltunski and Josef van Genabith
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Integer Linear Programming for Discourse Parsing
Jérémy Perret, Stergos Afantenos, Nicholas Asher and Mathieu Morey
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Joint Event Extraction via Recurrent Neural Networks
Thien Huu Nguyen, Kyunghyun Cho and Ralph Grishman
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Joint Extraction of Events and Entities within a Document Context
Bishan Yang and Tom Mitchell
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Joint Learning with Global Inference for Comment Classification in Community Question Answering
Shafiq Joty, Lluís Màrquez and Preslav Nakov
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LSTM CCG Parsing
Mike Lewis, Kenton Lee and Luke Zettlemoyer
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Large-scale Multitask Learning for Machine Translation Quality Estimation
Kashif Shah and Lucia Specia
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Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill, Kyunghyun Cho and Anna Korhonen
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Learning Global Features for Coreference Resolution
Sam Wiseman, Alexander M. Rush and Stuart Shieber
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Learning Natural Language Inference with LSTM
Shuohang Wang and Jing Jiang
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Learning to Compose Neural Networks for Question Answering
Jacob Andreas, Marcus Rohrbach, Trevor Darrell and Dan Klein
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Lexical Coherence Graph Modeling By Word Embeddings
Mohsen Mesgar and Michael Strube
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Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua
Derry Tanti Wijaya and Tom Mitchell
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Morphological Inflection Generation Using Character Sequence to Sequence Learning
Manaal Faruqui, Yulia Tsvetkov, Graham Neubig and Chris Dyer
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Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat, Kyunghyun Cho and Yoshua Bengio
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Multi-domain Neural Network Language Generation for Spoken Dialogue Systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Lina M. Rojas Barahona, Pei-Hao Su, David Vandyke and Steve Young
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Multilingual Language Processing From Bytes
Daniel Gillick, Cliff Brunk, Oriol Vinyals and Amarnag Subramanya
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Multilingual Relation Extraction using Compositional Universal Schema
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth and Andrew McCallum
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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 and Daniel Marcu
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Natural Language Communication with Robots
Yonatan Bisk and Daniel Marcu
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Neural Architectures for Named Entity Recognition
Guillaume Lample, Miguel Ballesteros, Kazuya Kawakami, Sandeep Subramanian and Chris Dyer
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Open Set Text Classification by Reducing Open Space Risk
Geli Fei and Bing Liu
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Opinion Holder and Target Extraction on Opinion Compounds -- A Linguistic Approach
Michael Wiegand, Christine Bocionek and Josef Ruppenhofer
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PRIMT: A Pick-Revise Framework for Interactive Machine Translation
Shanbo Cheng, Shujian Huang, Huadong Chen, Xin-Yu Dai and Jiajun Chen
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Pairwise Word Interaction Modeling with Neural Networks for Semantic Similarity Measurement
Hua He and Jimmy Lin
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Part-of-Speech Tagging for Historical English
Yi Yang and Jacob Eisenstein
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Phonological Pun-derstanding
Aaron Jaech, Rik Koncel-Kedziorski and Mari Ostendorf
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Phrasal Substitution of Idiomatic Expressions
Changsheng Liu and Rebecca Hwa
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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 Levin and Chris Dyer
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Predicting Student Essay Structure
Isaac Persing
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Probabilistic Models for Learning a Semantic Parser Lexicon
Jayant Krishnamurthy
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Questioning Arbitrariness in Language: a Data-Driven Study of Conventional Iconicity
Ekaterina Abramova and Raquel Fernandez
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Recurrent Memory Network for Language Modeling
Ke M. Tran, Arianna Bisazza and Christof Monz
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Recurrent Neural Network Grammars
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros and Noah A. Smith
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Robust Classification of Argumentativeness through Distant Supervision
Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen and Benno Stein
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Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation
Akiva Miura, Graham Neubig, Michael Paul and Satoshi Nakamura
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Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features
Michael Wiegand, Marc Schulder and Josef Ruppenhofer
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Shift-Reduce CCG Parsing with Recurrent Neural Networks and Expected F-Measure Training
Wenduan Xu, Stephen Clark and Michael Auli
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Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment
Yogarshi Vyas and Marine Carpuat
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Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite and Bill Byrne
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Statistical Modeling of Creole Genesis
Yugo Murawaki
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Syntactic Parsing of Web Queries with Question Intent
Yuval Pinter, Roi Reichart and Idan Szpektor
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Ten Pairs to Tag -- Multilingual Transfer for POS Tagging with Few Translation Pairs
Yuan Zhang, David Gaddy, Regina Barzilay and Tommi Jaakkola
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The Role of Context Types and Dimensionality in Learning Word Embeddings
Oren Melamud, David McClosky, Siddharth Patwardhan and Mohit Bansal
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Top-down Tree Long Short-Term Memory Networks
Xingxing Zhang, Liang Lu and Mirella Lapata
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Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations
Patrick Ziering and Lonneke van der Plas
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Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe, Sebastian Ebert and Hinrich Schütze
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Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings
Spandana Gella, Mirella Lapata and Frank Keller
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Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps
Luana Bulat, Douwe Kiela and Stephen Clark
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Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy and Dan Jurafsky
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Weighting Finite-State Transductions With Neural Context
Pushpendre Rastogi, Ryan Cotterell and Jason Eisner
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What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei, Mohit Bansal and Matthew Walter
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A Joint Model of Orthography and Morphological Segmentation
Ryan Cotterell, Tim Vieira and Hinrich Schütze
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A Long Short-Term Memory Framework for Predicting Humor in Dialogues
Dario Bertero and Pascale Fung
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A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output
Hyun Kim and Jong-Hyeok Lee
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Abstractive Summarization with Attentive Recurrent Neural Networks
Sumit Chopra, Alexander M. Rush and Michael Auli
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Agreement on Target-bidirectional Neural Machine Translation
Lemao Liu, Masao Utiyama, Andrew Finch and Eiichiro Sumita
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An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation
Colin Cherry
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An Unsupervised Model of Orthographic Variation for Historical Document Transcription
Dan Garrette and Hannah Alpert-Abrams
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Assessing Relative Sentence Complexity using an Incremental CCG Parser
Bharat Ram Ambati, Siva Reddy and Mark Steedman
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Automatic Summarization of Student Course Feedback
Wencan Luo, Fei Liu, Zitao Liu and Diane Litman
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BIRA: Improved Predictive Exchange Word Clustering
Jon Dehdari, Liling Tan and Josef van Genabith
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Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora
Kriste Krstovski and David Smith
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Building Chinese Affective Resources in Valence-Arousal Dimensions
Liang-Chih Yu, Lung-Hao Lee, Shuai Hao, Jun Hu and K. Robert Lai
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Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing
Svetlana Kiritchenko and Saif Mohammad
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Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
Matthew Francis-Landau, Greg Durrett and Dan Klein
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Combining Recurrent and Convolutional Neural Networks for Relation Classification
Ngoc Thang Vu, Heike Adel, Pankaj Gupta and Hinrich Schütze
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Controlling Politeness in Neural Machine Translation via Side Constraints
Rico Sennrich, Barry Haddow and Alexandra Birch
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Conversational Flow in Oxford-style Debates
Justine Zhang, Ravi Kumar, Sujith Ravi and Cristian Danescu-Niculescu-Mizil
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Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina M. Rojas Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen and Steve Young
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Cross-genre Event Extraction Through Unsupervised Knowledge Enrichment
Hao Li and Heng Ji
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Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework
Matthieu Constant, Joseph Le Roux and Nadi Tomeh
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Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
Tomoya Mizumoto and Yuji Matsumoto
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Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer
Eun-Suk Yang, Young-Bum Kim and Ruhi Sarikaya
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Dynamic Entity Representation with Max-pooling Improves Machine Reading
Sosuke Kobayashi, Ran Tian, Naoaki Okazaki and Kentaro Inui
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Emergent: a novel data-set for stance classification
William Ferreira and Andreas Vlachos
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Exploiting Distributional Representations with Distance Dependent CRPs for Extracting Sub-Tasks
Rishabh Mehrotra, Prasanta Bhattacharya and Emine Yilmaz
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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 Temnikova and Stephan Vogel
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Fast and Easy Short Answer Grading with High Accuracy
Md Arafat Sultan, Cristobal Salazar and Tamara Sumner
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Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing
Ophélie Lacroix, Guillaume Wisniewski, François Yvon and Lauriane Aufrant
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Geolocation for Twitter: Timing Matters
Mark Dredze, Miles Osborne and Anju Kambadur
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Grammatical error correction using neural machine translation
Zheng Yuan and Ted Briscoe
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Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence
Gakuto Kurata, Bing Xiang and Bowen Zhou
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Improving event prediction by representing script participants
Simon Ahrendt and Vera Demberg
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Improving sentence compression by learning to predict gaze
Sigrid Klerke, Yoav Goldberg and Anders Søgaard
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Incorporating Context into Recurrent Neural Network Language Models
Cong Duy Vu Hoang, Trevor Cohn and Gholamreza Haffari
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Individual Variation in the Choice of Referential Form
Thiago Castro Ferreira, Emiel Krahmer and Sander Wubben
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Inferring Psycholinguistic Properties of Words
Gustavo Paetzold and Lucia Specia
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Integrating Morphological Desegmentation into Phrase-based Decoding
Mohammad Salameh, Colin Cherry and Grzegorz Kondrak
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Inter-document Contextual Language model
Quan Hung Tran, Ingrid Zukerman and Gholamreza Haffari
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Interlocking Phrases in Phrase-based Statistical Machine Translation
Ye Kyaw Thu, Andrew Finch and Eiichiro Sumita
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Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation
He He, Jordan Boyd-Graber and Hal Daumé III
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Intra-Topic Variability Normalization based on Linear Projection for Topic Classification
Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang and Yu Hu
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Joint Learning Templates and Slots for Event Schema Induction
Lei Sha, Sujian Li, Baobao Chang and Zhifang Sui
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K-Embeddings: Learning Conceptual Embeddings for Words using Context
Thuy Vu and D. Stott Parker
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Knowledge Guided Linguistic Rewrites for Inference Rule Verification
Prachi Jain and Mausam
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LSTM Neural Reordering Feature for Statistical Machine Translation
Yiming Cui, Shijin Wang, and Jianfeng Li
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Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network
Peilu Wang, Yao Qian, Frank Soong, Lei He and Hai Zhao
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Learning a POS tagger for AAVE-like language
Anna Jørgensen, Dirk Hovy and Anders Søgaard
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Learning to Recognize Ancillary Information for Automatic Paraphrase Identification
Simone Filice and Alessandro Moschitti
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Leverage Financial News to Predict Stock Price Movements UsingWord Embeddings and Deep Neural Networks
Yangtuo Peng and Hui Jiang
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MAWPS: A Math Word Problem Respository
Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman and Hannaneh Hajishirzi
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MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
Ye Zhang, Stephen Roller and Byron C. Wallace
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Making Dependency Labeling Simple, Fast and Accurate
Tianxiao Shen, Tao Lei and Regina Barzilay
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Multi-Source Neural Translation
Barret Zoph and Kevin Knight
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Multimodal Semantic Learning from Child-Directed Input
Angeliki Lazaridou, Grzegorz Chrupała, Raquel Fernandez and Marco Baroni
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Online Multilingual Topic Models with Multi-Level Hyperpriors
Kriste Krstovski, David Smith and Michael J. Kurtz
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PIC a Different Word: A Simple Model for Lexical Substitution in Context
Stephen Roller and Katrin Erk
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Patterns of Wisdom: Discourse Level Style in Multi-Sentence Quotations
Kyle Booten and Marti A. Hearst
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Psycholinguistic Features for Deceptive Role Detection in Werewolf
Codruta Girlea and Roxana Girju
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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 and Mei-Yuh Hwang
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Retrofitting sense-specific word vectors using parallel text
Allyson Ettinger, Philip Resnik and Marine Carpuat
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Right-truncatable Neural Word Embeddings
Jun Suzuki and Masaaki Nagata
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STransE: a novel embedding model of entities and relationships in knowledge bases
Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu and Mark Johnson
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Search Space Pruning: A Simple Solution for Better Coreference Resolvers
Nafise Sadat Moosavi and Michael Strube
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Sentiment Composition of Words with Opposing Polarities
Svetlana Kiritchenko and Saif Mohammad
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Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee and Franck Dernoncourt
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Shallow Parsing Pipeline for Hindi-English Code-Mixed Social Media Text
Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi and Dipti Sharma
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Shift-Reduce CCG Parsing using Neural Network Models
Bharat Ram Ambati, Tejaswini Deoskar and Mark Steedman
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Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies
Barret Zoph, Ashish Vaswani, Jonathan May and Kevin Knight
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Stating the Obvious: Extracting Visual Common Sense Knowledge
Mark Yatskar, Vicente Ordonez and Ali Farhadi
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Structured Prediction with Output Embeddings for Semantic Image Annotation
Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra and Francesc Moreno-Noguer
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Supertagging With LSTMs
Ashish Vaswani, Yonatan Bisk and Kenji Sagae
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Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives
Roy Schwartz, Roi Reichart and Ari Rappoport
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The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection
Junyi Jessy Li and Ani Nenkova
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The Sensitivity of Topic Coherence Evaluation to Topic Cardinality
Jey Han Lau and Timothy Baldwin
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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 and Jennifer Foster
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Transition-Based Syntactic Linearization with Lookahead Features
Ratish Puduppully, Yue Zhang and Manish Shrivastava
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Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods
Martin Riedl and Chris Biemann
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Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling
Niko Schenk and Christian Chiarcos
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Unsupervised Ranking Model for Entity Coreference Resolution
Xuezhe Ma, Zhengzhong Liu and Eduard Hovy
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Using Context to Predict the Purpose of Argumentative Writing Revisions
Fan Zhang and Diane Litman
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Visual Storytelling
Ting-Hao Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Aishwarya Agrawal, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, Larry Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley and Margaret Mitchell
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Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text
Aldrian Obaja Muis and Wei Lu
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A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli and James Allen
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A Corpus and Semantic Parser for Natural Language Querying of OpenStreetMap
Carolin Haas and Stefan Riezler
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A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan
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A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models
Yangfeng Ji, Gholamreza Haffari and Jacob Eisenstein
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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 Radev and Amanda Stent
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A Neural Network-Based Abstract Generation Method to Opinion Summarization
Lu Wang and Wang Ling
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A Novel Approach for Dropped Pronoun Translation
Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way and Qun Liu
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A Study of the Impact of Persuasive Argumentation in Political Debates
Amparo Elizabeth Cano Basave and Yulan He
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A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations
Hee-Geun Yoon, Hyun-Je Song and Seong-Bae Park
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Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics
Yvette Graham and Qun Liu
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Activity Modeling in Email
Ashequl Qadir, Michael Gamon, Patrick Pantel and Ahmed Awadallah
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An Attentional Model for Speech Translation Without Transcription
Long Duong, Antonios Anastasopoulos, Trevor Cohn, Steven Bird and David Chiang
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An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition
Wencan Luo and Fan Yang
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Automatic Generation and Scoring of Positive Interpretations from Negated Statements
Eduardo Blanco and Zahra Sarabi
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Automatic Prediction of Linguistic Decline in Writings of Patients with Degenerative Dementia
Davy Weissenbacher and Graciela Gonzalez
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Automatically Inferring Implicit Properties in Similes
Ashequl Qadir, Ellen Riloff and Marilyn Walker
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Bayesian Supervised Domain Adaptation for Short Text Similarity
Md Arafat Sultan, Jordan Boyd-Graber and Tamara Sumner
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Bidirectional RNN for Medical Event Detection in Electronic Health Records
Abhyuday Jagannatha and Hong Yu
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Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Suster, Ivan Titov and Gertjan van Noord
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Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification
Aditya Mogadala and Achim Rettinger
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Black Holes and White Rabbits: Metaphor Identification with Visual Features
Ekaterina Shutova, Douwe Kiela and Jean Maillard
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Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning
Janarthanan Rajendran, Mitesh M Khapra, Sarath Chandar and Balaraman Ravindran
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Clustering Paraphrases by Word Sense
Anne Cocos and Chris Callison-Burch
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Clustering for Simultaneous Extraction of Aspects and Features from Reviews
Lu Chen, Justin Martineau, Doreen Cheng and Amit Sheth
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Comparing Convolutional Neural Networks to Traditional Models for Slot Filling
Heike Adel, Benjamin Roth and Hinrich Schütze
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Consensus Maximization Fusion of Probabilistic Information Extractors
Miguel Rodriguez, Sean Goldberg and Daisy Zhe Wang
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Conversational Markers of Constructive Discussions
Vlad Niculae and Cristian Danescu-Niculescu-Mizil
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Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Question Answering
Kateryna Tymoshenko, Daniele Bonadiman and Alessandro Moschitti
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Cross-lingual Wikification Using Multilingual Embeddings
Chen-Tse Tsai and Dan Roth
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DAG-structured Recurent Neural Networks for Semantic Compositionality
Xiaodan Zhu, Parinaz Sobhani and Hongyu Guo
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Deep LSTM based Feature Mapping for Query Classification
Yangyang Shi, Kaisheng Yao, Le Tian and Daxin Jiang
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Semi-supervised Question Retrieval with Gated Convolutions
Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti and Lluís Màrquez
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Dependency Based Embeddings for Sentence Classification Tasks
Alexandros Komninos and Suresh Manandhar
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Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents
Rui Zhang, Honglak Lee and Dragomir Radev
-
Distinguishing Literal and Non-Literal Usage of German Particle Verbs
Maximilian Köper and Sabine Schulte im Walde
-
Dynamic Feature Induction: The Last Gist to the State-of-the-Art
Jinho D. Choi
-
Effective Crowd Annotation for Relation Extraction
Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher Lin and Daniel Weld
-
Embedding Lexical Features via Low-rank Tensors
Mo Yu, Mark Dredze, Raman Arora and Matthew R. Gormley
-
Entity-balanced Gaussian pLSA for Automated Comparison
Danish Contractor, Parag Singla and Mausam
-
Expectation-Regulated Neural Model for Event Mention Extraction
Ching-Yun Chang and Yue Zhang
-
Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships
Mohit Iyyer, Anupam Guha and Jordan Boyd-Graber
-
Flexible Non-Terminals for Dependency Tree-to-Tree Reordering
John Richardson, Fabien Cromieres, Toshiaki Nakazawa and Sadao Kurohashi
-
Generation from Abstract Meaning Representation using Tree Transducers
Jeffrey Flanigan, Chris Dyer, Noah A. Smith and Jaime Carbonell
-
Grounded Semantic Role Labeling
Shaohua Yang, Qiaozo Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu and Joyce Chai
-
Hierarchical Attention Networks for Document Classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola and Eduard Hovy
-
Improve Chinese Word Embeddings by Exploiting Internal Structure
Jian Xu, Jiawei Liu, Liangang Zhang, Zhengyu Li and Huanhuan Chen
-
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer and Gholamreza Haffari
-
Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification
Raphael Rubino, Ekaterina Lapshinova-Koltunski and Josef van Genabith
-
Integer Linear Programming for Discourse Parsing
Jérémy Perret, Stergos Afantenos, Nicholas Asher and Mathieu Morey
-
Joint Event Extraction via Recurrent Neural Networks
Thien Huu Nguyen, Kyunghyun Cho and Ralph Grishman
-
Joint Extraction of Events and Entities within a Document Context
Bishan Yang and Tom Mitchell
-
Joint Learning with Global Inference for Comment Classification in Community Question Answering
Shafiq Joty, Lluís Màrquez and Preslav Nakov
-
LSTM CCG Parsing
Mike Lewis, Kenton Lee and Luke Zettlemoyer
-
Large-scale Multitask Learning for Machine Translation Quality Estimation
Kashif Shah and Lucia Specia
-
Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill, Kyunghyun Cho and Anna Korhonen
-
Learning Global Features for Coreference Resolution
Sam Wiseman, Alexander M. Rush and Stuart Shieber
-
Learning Natural Language Inference with LSTM
Shuohang Wang and Jing Jiang
-
Learning to Compose Neural Networks for Question Answering
Jacob Andreas, Marcus Rohrbach, Trevor Darrell and Dan Klein
-
Lexical Coherence Graph Modeling By Word Embeddings
Mohsen Mesgar and Michael Strube
-
Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua
Derry Tanti Wijaya and Tom Mitchell
-
Morphological Inflection Generation Using Character Sequence to Sequence Learning
Manaal Faruqui, Yulia Tsvetkov, Graham Neubig and Chris Dyer
-
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat, Kyunghyun Cho and Yoshua Bengio
-
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Lina M. Rojas Barahona, Pei-Hao Su, David Vandyke and Steve Young
-
Multilingual Language Processing From Bytes
Daniel Gillick, Cliff Brunk, Oriol Vinyals and Amarnag Subramanya
-
Multilingual Relation Extraction using Compositional Universal Schema
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth and Andrew McCallum
-
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning
Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight and Daniel Marcu
-
Natural Language Communication with Robots
Yonatan Bisk and Daniel Marcu
-
Neural Architectures for Named Entity Recognition
Guillaume Lample, Miguel Ballesteros, Kazuya Kawakami, Sandeep Subramanian and Chris Dyer
-
Open Set Text Classification by Reducing Open Space Risk
Geli Fei and Bing Liu
-
Opinion Holder and Target Extraction on Opinion Compounds -- A Linguistic Approach
Michael Wiegand, Christine Bocionek and Josef Ruppenhofer
-
PRIMT: A Pick-Revise Framework for Interactive Machine Translation
Shanbo Cheng, Shujian Huang, Huadong Chen, Xin-Yu Dai and Jiajun Chen
-
Pairwise Word Interaction Modeling with Neural Networks for Semantic Similarity Measurement
Hua He and Jimmy Lin
-
Part-of-Speech Tagging for Historical English
Yi Yang and Jacob Eisenstein
-
Phonological Pun-derstanding
Aaron Jaech, Rik Koncel-Kedziorski and Mari Ostendorf
-
Phrasal Substitution of Idiomatic Expressions
Changsheng Liu and Rebecca Hwa
-
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 Levin and Chris Dyer
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Predicting Student Essay Structure
Isaac Persing
-
Probabilistic Models for Learning a Semantic Parser Lexicon
Jayant Krishnamurthy
-
Questioning Arbitrariness in Language: a Data-Driven Study of Conventional Iconicity
Ekaterina Abramova and Raquel Fernandez
-
Recurrent Memory Network for Language Modeling
Ke M. Tran, Arianna Bisazza and Christof Monz
-
Recurrent Neural Network Grammars
Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros and Noah A. Smith
-
Robust Classification of Argumentativeness through Distant Supervision
Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen and Benno Stein
-
Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation
Akiva Miura, Graham Neubig, Michael Paul and Satoshi Nakamura
-
Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features
Michael Wiegand, Marc Schulder and Josef Ruppenhofer
-
Shift-Reduce CCG Parsing with Recurrent Neural Networks and Expected F-Measure Training
Wenduan Xu, Stephen Clark and Michael Auli
-
Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment
Yogarshi Vyas and Marine Carpuat
-
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite and Bill Byrne
-
Statistical Modeling of Creole Genesis
Yugo Murawaki
-
Syntactic Parsing of Web Queries with Question Intent
Yuval Pinter, Roi Reichart and Idan Szpektor
-
Ten Pairs to Tag -- Multilingual Transfer for POS Tagging with Few Translation Pairs
Yuan Zhang, David Gaddy, Regina Barzilay and Tommi Jaakkola
-
The Role of Context Types and Dimensionality in Learning Word Embeddings
Oren Melamud, David McClosky, Siddharth Patwardhan and Mohit Bansal
-
Top-down Tree Long Short-Term Memory Networks
Xingxing Zhang, Liang Lu and Mirella Lapata
-
Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations
Patrick Ziering and Lonneke van der Plas
-
Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe, Sebastian Ebert and Hinrich Schütze
-
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings
Spandana Gella, Mirella Lapata and Frank Keller
-
Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps
Luana Bulat, Douwe Kiela and Stephen Clark
-
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy and Dan Jurafsky
-
Weighting Finite-State Transductions With Neural Context
Pushpendre Rastogi, Ryan Cotterell and Jason Eisner
-
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei, Mohit Bansal and Matthew Walter
-
A Joint Model of Orthography and Morphological Segmentation
Ryan Cotterell, Tim Vieira and Hinrich Schütze
-
A Long Short-Term Memory Framework for Predicting Humor in Dialogues
Dario Bertero and Pascale Fung
-
A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output
Hyun Kim and Jong-Hyeok Lee
-
Abstractive Summarization with Attentive Recurrent Neural Networks
Sumit Chopra, Alexander M. Rush and Michael Auli
-
Agreement on Target-bidirectional Neural Machine Translation
Lemao Liu, Masao Utiyama, Andrew Finch and Eiichiro Sumita
-
An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation
Colin Cherry
-
An Unsupervised Model of Orthographic Variation for Historical Document Transcription
Dan Garrette and Hannah Alpert-Abrams
-
Assessing Relative Sentence Complexity using an Incremental CCG Parser
Bharat Ram Ambati, Siva Reddy and Mark Steedman
-
Automatic Summarization of Student Course Feedback
Wencan Luo, Fei Liu, Zitao Liu and Diane Litman
-
BIRA: Improved Predictive Exchange Word Clustering
Jon Dehdari, Liling Tan and Josef van Genabith
-
Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora
Kriste Krstovski and David Smith
-
Building Chinese Affective Resources in Valence-Arousal Dimensions
Liang-Chih Yu, Lung-Hao Lee, Shuai Hao, Jun Hu and K. Robert Lai
-
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing
Svetlana Kiritchenko and Saif Mohammad
-
Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks
Matthew Francis-Landau, Greg Durrett and Dan Klein
-
Combining Recurrent and Convolutional Neural Networks for Relation Classification
Ngoc Thang Vu, Heike Adel, Pankaj Gupta and Hinrich Schütze
-
Controlling Politeness in Neural Machine Translation via Side Constraints
Rico Sennrich, Barry Haddow and Alexandra Birch
-
Conversational Flow in Oxford-style Debates
Justine Zhang, Ravi Kumar, Sujith Ravi and Cristian Danescu-Niculescu-Mizil
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Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina M. Rojas Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen and Steve Young
-
Cross-genre Event Extraction Through Unsupervised Knowledge Enrichment
Hao Li and Heng Ji
-
Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework
Matthieu Constant, Joseph Le Roux and Nadi Tomeh
-
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
Tomoya Mizumoto and Yuji Matsumoto
-
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer
Eun-Suk Yang, Young-Bum Kim and Ruhi Sarikaya
-
Dynamic Entity Representation with Max-pooling Improves Machine Reading
Sosuke Kobayashi, Ran Tian, Naoaki Okazaki and Kentaro Inui
-
Emergent: a novel data-set for stance classification
William Ferreira and Andreas Vlachos
-
Exploiting Distributional Representations with Distance Dependent CRPs for Extracting Sub-Tasks
Rishabh Mehrotra, Prasanta Bhattacharya and Emine Yilmaz
-
Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement
Hassan Sajjad, Francisco Guzmán, Nadir Durrani, Ahmed Abdelali, Houda Bouamor, Irina Temnikova and Stephan Vogel
-
Fast and Easy Short Answer Grading with High Accuracy
Md Arafat Sultan, Cristobal Salazar and Tamara Sumner
-
Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing
Ophélie Lacroix, Guillaume Wisniewski, François Yvon and Lauriane Aufrant
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Geolocation for Twitter: Timing Matters
Mark Dredze, Miles Osborne and Anju Kambadur
-
Grammatical error correction using neural machine translation
Zheng Yuan and Ted Briscoe
-
Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence
Gakuto Kurata, Bing Xiang and Bowen Zhou
-
Improving event prediction by representing script participants
Simon Ahrendt and Vera Demberg
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Improving sentence compression by learning to predict gaze
Sigrid Klerke, Yoav Goldberg and Anders Søgaard
-
Incorporating Context into Recurrent Neural Network Language Models
Cong Duy Vu Hoang, Trevor Cohn and Gholamreza Haffari
-
Individual Variation in the Choice of Referential Form
Thiago Castro Ferreira, Emiel Krahmer and Sander Wubben
-
Inferring Psycholinguistic Properties of Words
Gustavo Paetzold and Lucia Specia
-
Integrating Morphological Desegmentation into Phrase-based Decoding
Mohammad Salameh, Colin Cherry and Grzegorz Kondrak
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Inter-document Contextual Language model
Quan Hung Tran, Ingrid Zukerman and Gholamreza Haffari
-
Interlocking Phrases in Phrase-based Statistical Machine Translation
Ye Kyaw Thu, Andrew Finch and Eiichiro Sumita
-
Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation
He He, Jordan Boyd-Graber and Hal Daumé III
-
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification
Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang and Yu Hu
-
Joint Learning Templates and Slots for Event Schema Induction
Lei Sha, Sujian Li, Baobao Chang and Zhifang Sui
-
K-Embeddings: Learning Conceptual Embeddings for Words using Context
Thuy Vu and D. Stott Parker
-
Knowledge Guided Linguistic Rewrites for Inference Rule Verification
Prachi Jain and Mausam
-
LSTM Neural Reordering Feature for Statistical Machine Translation
Yiming Cui, Shijin Wang, and Jianfeng Li
-
Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network
Peilu Wang, Yao Qian, Frank Soong, Lei He and Hai Zhao
-
Learning a POS tagger for AAVE-like language
Anna Jørgensen, Dirk Hovy and Anders Søgaard
-
Learning to Recognize Ancillary Information for Automatic Paraphrase Identification
Simone Filice and Alessandro Moschitti
-
Leverage Financial News to Predict Stock Price Movements UsingWord Embeddings and Deep Neural Networks
Yangtuo Peng and Hui Jiang
-
MAWPS: A Math Word Problem Respository
Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman and Hannaneh Hajishirzi
-
MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
Ye Zhang, Stephen Roller and Byron C. Wallace
-
Making Dependency Labeling Simple, Fast and Accurate
Tianxiao Shen, Tao Lei and Regina Barzilay
-
Multi-Source Neural Translation
Barret Zoph and Kevin Knight
-
Multimodal Semantic Learning from Child-Directed Input
Angeliki Lazaridou, Grzegorz Chrupała, Raquel Fernandez and Marco Baroni
-
Online Multilingual Topic Models with Multi-Level Hyperpriors
Kriste Krstovski, David Smith and Michael J. Kurtz
-
PIC a Different Word: A Simple Model for Lexical Substitution in Context
Stephen Roller and Katrin Erk
-
Patterns of Wisdom: Discourse Level Style in Multi-Sentence Quotations
Kyle Booten and Marti A. Hearst
-
Psycholinguistic Features for Deceptive Role Detection in Werewolf
Codruta Girlea and Roxana Girju
-
Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding
Yangyang Shi, Kaisheng Yao, Hu Chen, Dong Yu, Yi-Cheng Pan and Mei-Yuh Hwang
-
Retrofitting sense-specific word vectors using parallel text
Allyson Ettinger, Philip Resnik and Marine Carpuat
-
Right-truncatable Neural Word Embeddings
Jun Suzuki and Masaaki Nagata
-
STransE: a novel embedding model of entities and relationships in knowledge bases
Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu and Mark Johnson
-
Search Space Pruning: A Simple Solution for Better Coreference Resolvers
Nafise Sadat Moosavi and Michael Strube
-
Sentiment Composition of Words with Opposing Polarities
Svetlana Kiritchenko and Saif Mohammad
-
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Ji Young Lee and Franck Dernoncourt
-
Shallow Parsing Pipeline for Hindi-English Code-Mixed Social Media Text
Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi and Dipti Sharma
-
Shift-Reduce CCG Parsing using Neural Network Models
Bharat Ram Ambati, Tejaswini Deoskar and Mark Steedman
-
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies
Barret Zoph, Ashish Vaswani, Jonathan May and Kevin Knight
-
Stating the Obvious: Extracting Visual Common Sense Knowledge
Mark Yatskar, Vicente Ordonez and Ali Farhadi
-
Structured Prediction with Output Embeddings for Semantic Image Annotation
Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra and Francesc Moreno-Noguer
-
Supertagging With LSTMs
Ashish Vaswani, Yonatan Bisk and Kenji Sagae
-
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives
Roy Schwartz, Roi Reichart and Ari Rappoport
-
The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection
Junyi Jessy Li and Ani Nenkova
-
The Sensitivity of Topic Coherence Evaluation to Topic Cardinality
Jey Han Lau and Timothy Baldwin
-
This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering
Dasha Bogdanova and Jennifer Foster
-
Transition-Based Syntactic Linearization with Lookahead Features
Ratish Puduppully, Yue Zhang and Manish Shrivastava
-
Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods
Martin Riedl and Chris Biemann
-
Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling
Niko Schenk and Christian Chiarcos
-
Unsupervised Ranking Model for Entity Coreference Resolution
Xuezhe Ma, Zhengzhong Liu and Eduard Hovy
-
Using Context to Predict the Purpose of Argumentative Writing Revisions
Fan Zhang and Diane Litman
-
Visual Storytelling
Ting-Hao Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Aishwarya Agrawal, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, Larry Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley and Margaret Mitchell
-
Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text
Aldrian Obaja Muis and Wei Lu
-
rstWeb - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations
Amir Zeldes
-
Instant Feedback for Increasing the Presence of Solutions in Peer Reviews
Huy Nguyen, Wenting Xiong and Diane Litman
-
Farasa: A Fast and Furious Segmenter for Arabic
Ahmed Abdelali, Kareem Darwish, Nadir Durrani and Hamdy Mubarak
-
iAppraise: A Manual Machine Translation Evaluation Environment Supporting Eye-tracking
Ahmed Abdelali, Nadir Durrani and Francisco Guzmán
-
Linguistica 5: Unsupervised Learning of Linguistic Structure
Jackson Lee and John Goldsmith
-
TransRead: Designing a Bilingual Reading Experience with Machine Translation Technologies
François Yvon, Yong Xu, Marianna Apidianaki, Clément Pillias and Pierre Cubaud
-
New Dimensions in Testimony Demonstration
Ron Artstein, Alesia Gainer, Kallirroi Georgila, Anton Leuski, Ari Shapiro and David Traum
-
ArgRewrite: A Web-based Revision Assistant for Argumentative Writings
Fan Zhang, Rebecca Hwa, Diane Litman and Homa B. Hashemi
-
Scaling Up Word Clustering
Jon Dehdari, Liling Tan and Josef van Genabith
-
Task Completion Platform: A self-serve multi-domain goal oriented dialogue platform
Paul Crook, Alex Marin, Vipul Agarwal, Khushboo Aggarwal, Tasos Anastasakos, Ravi Bikkula, Daniel Boies, Asli Celikyilmaz, Senthilkumar Chandramohan, Zhaleh Feizollahi, Roman Holenstein, Minwoo Jeong, Omar Khan, Young-Bum Kim, Elizabeth Krawczyk, Xiaohu Liu, Danko Panic, Vasiliy Radostev, Nikhil Ramesh, Jean-Phillipe Robichaud, Alexandre Rochette, Logan Stromberg and Ruhi Sarikaya
-
Illinois Math Solver: Math Reasoning on the Web
Subhro Roy and Dan Roth
-
LingoTurk: managing crowdsourced tasks for psycholinguistics
Florian Pusse, Asad Sayeed and Vera Demberg
-
Sentential Paraphrasing as Black-Box Machine Translation
Courtney Napoles, Chris Callison-Burch and Matt Post
-
A Tag-based English Math Word Problem Solver with Understanding, Reasoning and Explanation
Chao-Chun Liang, Kuang-Yi Hsu, Chien-Tsung Huang, Chung-Min Li, Shen-Yu Miao and Keh-Yih Su
-
Cross-media Event Extraction and Recommendation
Di Lu, Clare Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-fu Chang, Jiawei Han, William Wallace, James Hendler, Mei Si and Lance Kaplan
-
SODA: Service Oriented Domain Adaptation Architecture for Microblog Categorization
Himanshu Sharad Bhatt, Sandipan Dandapat, Peddamuthu Balaji, Shourya Roy, Sharmistha Jat and Deepali Semwal
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Lecture Translator - Speech translation framework for simultaneous lecture translation
Markus Müller, Thai Son Nguyen, Jan Niehues, Eunah Cho, Bastian Krüger, Thanh-Le Ha, Kevin Kilgour, Matthias Sperber, Mohammed Mediani, Sebastian Stüker and Alex Waibel
-
Zara The Supergirl: An Empathetic Personality Recognition System
Pascale Fung, Anik Dey, Farhad Bin Siddique, Ruixi Lin, Yang Yang, Yan Wan and Ho Yin Ricky Chan
-
Kathaa: A Visual Programming Framework for NLP Applications
Sharada Prasanna Mohanty, Nehal J Wani, Manish Srivastava and Dipti Misra Sharma
-
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Ribeiro, Sameer Singh and Carlos Guestrin