Accepted long papers
- Modeling Interestingness with Deep Neural Networks
Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He and Li Deng
- Translation Modeling with Bidirectional Recurrent Neural Networks
Martin Sundermeyer, Tamer Alkhouli, Joern Wuebker and Hermann Ney
- A Neural Network Approach to Selectional Preference Acquisition
Tim Van de Cruys
- Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics
Douwe Kiela and Léon Bottou
- Identifying Argumentative Discourse Structures in Persuasive Essays
Christian Stab and Iryna Gurevych
- Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System
Zhuoran Wang, Hongliang Chen, Guanchun Wang, Hao Tian, Hua Wu and Haifeng Wang
- A Constituent-Based Approach to Argument Labeling with Joint Inference in Discourse Parsing
Fang Kong, Hwee Tou Ng and Guodong Zhou
- Strongly Incremental Repair Detection
Julian Hough and Matthew Purver
- Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields
Fan Yang and Paul Vozila
- Accurate Word Segmentation and POS Tagging for Japanese Microblogs: Corpus Annotation and Joint Modeling with Lexical Normalization
Nobuhiro Kaji and Masaru Kitsuregawa
- Revisiting Embedding Features for Simple Semi-supervised Learning
Jiang Guo, Wanxiang Che, Haifeng Wang and Ting Liu
- Combining Punctuation and Disfluency Prediction: An Empirical Study
Xuancong Wang, Khe Chai Sim and Hwee Tou Ng
- Submodularity for Data Selection in Machine Translation
Katrin Kirchhoff and Jeff Bilmes
- Aligning context-based statistical models of language with brain activity during reading
Leila Wehbe, Ashish Vaswani, Kevin Knight and Tom Mitchell
- A Cognitive Model of Semantic Network Learning
Aida Nematzadeh, Afsaneh Fazly and Suzanne Stevenson
- Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can’t See What I Mean
Felix Hill and Anna Korhonen
- Go Climb a Dependency Tree and Correct the Grammatical Errors
Longkai Zhang and Houfeng WANG
- An Unsupervised Model for Instance Level Subcategorization Acquisition
Simon Baker, Roi Reichart and Anna Korhonen
- Parsing low-resource languages using Gibbs sampling for PCFGs with latent annotations
Liang Sun, Jason Mielens and Jason Baldridge
- Incremental Semantic Role Labeling with Tree Adjoining Grammar
Ioannis Konstas, Frank Keller, Vera Demberg and Mirella Lapata
- A Graph-based Approach for Contextual Text Normalization
Cagil Sonmez and Arzucan Ozgur
- ReNoun: Fact Extraction for Nominal Attributes
Mohamed Yahya, Steven Whang, Rahul Gupta and Alon Halevy
- Hierarchical Discriminative Classification for Text-Based Geolocation
Benjamin Wing and Jason Baldridge
- Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data
Ivan Vulić and Marie-Francine Moens
- Multi-Predicate Semantic Role Labeling
Haitong Yang and Chengqing Zong
- Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning
Luciano Del Corro, Rainer Gemulla and Gerhard Weikum
- Multi-Resolution Language Grounding with Weak Supervision
R. Koncel-Kedziorski, Hannaneh Hajishirzi and Ali Farhadi
- Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
Matt Gardner, Partha Talukdar, Jayant Krishnamurthy and Tom Mitchell
- An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents
Mohamed Morchid, Mohamed Bouallegue, Richard Dufour, Georges Linares, Driss Matrouf and Renato de Mori
- Explaining the Stars: Weighted Multiple-Instance Learning for Aspect-Based Sentiment Analysis
Nikolaos Pappas and Andrei Popescu-Belis
- Sentiment Analysis on the People’s Daily
Jiwei Li and Eduard Hovy
- A Joint Segmentation and Classification Framework for Sentiment Analysis
Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu and Ming Zhou
- Positive Unlabeled Learning for Deceptive Reviews Detection
yafeng ren, donghong ji and hongbin zhang
- Resolving Shell Nouns
Varada Kolhatkar and Graeme Hirst
- A Comparison of Selectional Preference Models for Automatic Verb Classification
Will Roberts and Markus Egg
- Learning to Solve Arithmetic Word Problems with Verb Categorization
Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni and Nate Kushman
- NaturalLI: Natural Logic Inference for Common Sense Reasoning
Gabor Angeli and Christopher D. Manning
- Modeling Term Translation for Document-informed Machine Translation
Fandong Meng, Deyi Xiong, Wenbin Jiang and Qun Liu
- Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation
Qing Dou, Ashish Vaswani and Kevin Knight
- Latent Domain Phrase-based Models for Adaptation
Cuong Hoang and Khalil Sima’an
- Translation Rules with Right-Hand Side Lattices
Fabien Cromieres and Sadao Kurohashi
- Learning to Translate: A Query-Specific Combination Approach for Cross-Lingual Information Retrieval
Ferhan Ture and Elizabeth Boschee
- Semantic-Based Multilingual Document Clustering via Tensor Modeling
Salvatore Romeo, Andrea Tagarelli and Dino Ienco
- A Neural Network for Factoid Question Answering over Paragraphs
Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher and Hal Daumé III
- Finding Good Enough: A Task-Based Evaluation of Query Biased Summarization for Cross-Language Information Retrieval
Jennifer Williams, Sharon Tam and Wade Shen
- Chinese Poetry Generation with Recurrent Neural Networks
Xingxing Zhang and Mirella Lapata
- Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning
Cody Rioux, Sadid A. Hasan and Yllias Chali
- Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees
Chen Li, Yang Liu, Fei Liu, Lin Zhao and Fuliang Weng
- Evaluating Neural Word Representations in Tensor-Based Compositional Settings
Dmitrijs Milajevs, Dimitri Kartsaklis, Mehrnoosh Sadrzadeh and Matthew Purver
- Opinion Mining with Deep Recurrent Neural Networks
Ozan Irsoy and Claire Cardie
- The Inside-Outside Recursive Neural Network model for Dependency Parsing
Phong Le and Willem Zuidema
- A Fast and Accurate Dependency Parser using Neural Networks
Danqi Chen and Christopher Manning
- Why are You Taking this Stance? Identifying and Classifying Reasons in Ideological Debates
Kazi Saidul Hasan and Vincent Ng
- Chinese Zero Pronoun Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers
Chen Chen and Vincent Ng
- Unsupervised Sentence Enhancement for Automatic Summarization
Jackie Chi Kit Cheung and Gerald Penn
- ReferItGame: Referring to Objects in Photographs of Natural Scenes
Sahar Kazemzadeh, Vicente Ordonez, Mark Matten and Tamara Berg
- Unsupervised Template Mining for Semantic Category Understanding
Lei Shi, Shuming Shi, Chin-Yew Lin, Yi-Dong Shen and Yong Rui
- Taxonomy Construction Using Syntactic Contextual Evidence
Tuan Luu Anh, Jung-jae Kim and See Kiong Ng
- Analysing recall loss in named entity slot filling
Glen Pink, Joel Nothman and James R. Curran
- Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features
Deepak Venugopal, Chen Chen, Vibhav Gogate and Vincent Ng
- Syllable weight encodes mostly the same information for English word segmentation as dictionary stress
John K Pate and Mark Johnson
- A Joint Model for Unsupervised Chinese Word Segmentation
Miaohong Chen, Baobao Chang and Wenzhe Pei
- Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations
Yijia Liu, Yue Zhang, Wanxiang Che, Ting Liu and Fan Wu
- What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages
Long Duong, Trevor Cohn, Karin Verspoor, Steven Bird and Paul Cook
- An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences
Diego Marcheggiani and Thierry Artières
- Language Modeling with Functional Head Constraint for Code Switching Speech Recognition
Ying LI and Pascale Fung
- A Polynomial-Time Dynamic Oracle for Non-Projective Dependency Parsing
Carlos Gómez-Rodríguez, Francesco Sartorio and Giorgio Satta
- Ambiguity Resolution for Vt-N Structures in Chinese
Yu-Ming Hsieh, Jason S. Chang and Keh-Jiann Chen
- Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging
Yuta Tsuboi
- System Combination for Grammatical Error Correction
Raymond Hendy Susanto, Peter Phandi and Hwee Tou Ng
- Data Driven Grammatical Error Detection in Transcripts of Children’s Speech
Eric Morley, Anna Eva Hallin and Brian Roark
- A* CCG Parsing with a Supertag-factored Model
Mike Lewis and Mark Steedman
- A Dependency Parser for Tweets
Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Archna Bhatia, Chris Dyer and Noah A. Smith
- Greed is Good if Randomized: New Inference for Dependency Parsing
Yuan Zhang, Tao Lei, Regina Barzilay and Tommi Jaakkola
- A Unified Model for Word Sense Representation and Disambiguation
Xinxiong Chen, Zhiyuan Liu and Maosong Sun
- Reducing Dimensions of Tensors in Type-Driven Distributional Semantics
Tamara Polajnar, Luana Fagarasan and Stephen Clark
- An Etymological Approach to Cross-Language Orthographic Similarity. Application on Romanian
Alina Maria Ciobanu and Liviu P. Dinu
- Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
Arvind Neelakantan, Jeevan Shankar, Alexandre Passos and Andrew McCallum
- Tailor knowledge graph for query understanding: linking intent topics by propagation
Shi Zhao and Yan Zhang
- Queries as a Source of Lexicalized Commonsense Knowledge
Marius Pasca
- Question Answering over Linked Data Using First-order Logic
shizhu he, Kang Liu, Yuanzhe Zhang, Liheng Xu and Jun Zhao
- Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries
Mandar Joshi, Uma Sawant and Soumen Chakrabarti
- A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services
Quan Wang, Jing Liu, Bin Wang and Li Guo
- Vote Prediction on Comments in Social Polls
Isaac Persing and Vincent Ng
- Exploiting Community Emotion for Microblog Event Detection
Gaoyan Ou, Wei Chen, Tengjiao Wang, Zhongyu Wei, Binyang LI, Dongqing Yang and Kam-Fai Wong
- Detecting Disagreement in Conversations using Pseudo-Monologic Rhetorical Structure
Kelsey Allen, Giuseppe Carenini and Raymond Ng
- +/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference
Yoonjung Choi and Janyce Wiebe
- A Sentiment-aligned Topic Model for Product Aspect Rating Prediction
Hao Wang and Martin Ester
- An Iterative Link-based Method for Parallel Web Page Mining
Le Liu, Yu Hong, Jun Lu, Jun Lang, Heng Ji and Jianmin Yao
- Human Effort and Machine Learnability in Computer Aided Translation
Spence Green, Sida I. Wang, Jason Chuang, Jeffrey Heer, Sebastian Schuster and Christopher D. Manning
- Exact Decoding for Phrase-Based Statistical Machine Translation
Wilker Aziz, Marc Dymetman and Lucia Specia
- Large-scale Expected BLEU Training of Phrase-based Reordering Models
Michael Auli, Michel Galley and Jianfeng Gao
- Confidence-based Rewriting of Machine Translation Output
Benjamin Marie and Aurélien Max
- Learning Compact Lexicons for CCG Semantic Parsing
Yoav Artzi, Dipanjan Das and Slav Petrov
- Morpho-syntactic Lexical Generalization for CCG Semantic Parsing
Adrienne Wang, Tom Kwiatkowski and Luke Zettlemoyer
- Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation
Reut Tsarfaty, Ilia Pogrebezky, Guy Weiss, Yaarit Natan, Smadar Szekely and David Harel
- Semantic Parsing with Relaxed Hybrid Trees
Wei Lu
- Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference
David Mimno and Moontae Lee
- Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation
Kevin Gimpel and Mohit Bansal
- Don’t Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation
Alvin Grissom II, He He, Jordan Boyd-Graber, John Morgan and Hal Daumé III
- PCFG Induction for Unsupervised Parsing and Language Modelling
James Scicluna and Colin de la Higuera
- Can characters reveal your native language? A language-independent approach to native language identification
Radu Tudor Ionescu, Marius Popescu and Aoife Cahill
- Formalizing Word Sampling for Vocabulary Prediction as Graph-based Active Learning
Yo Ehara, Yusuke Miyao, Hidekazu Oiwa, Issei Sato and Hiroshi Nakagawa
- Device-Dependent Readability for Improved Text Understanding
A-Yeong Kim, Hyun-Je Song, Seong-Bae Park and Sang-Jo Lee
- Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints
Longkai Zhang, li li, Houfeng WANG and Xu Sun
- Using Structured Events to Predict Stock Price Movement: An Empirical Investigation
Xiao Ding, Yue Zhang, Ting Liu and Junwen Duan
- Extracting Clusters of Specialist Terms from Unstructured Text
Aaron Gerow
- Citation-Enhanced Keyphrase Extraction from Research Papers: A Supervised Approach
Cornelia Caragea, Florin Adrian Bulgarov, Andreea Godea and Sujatha Das Gollapalli
- Language Modeling with Power Low Rank Ensembles
Ankur P. Parikh, Avneesh Saluja, Chris Dyer and Eric Xing
- Modeling Biological Processes for Reading Comprehension
Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang and Christopher D. Manning
- Sensicon: An Automatically Constructed Sensorial Lexicon
Serra Sinem Tekiroglu, Gözde Özbal and Carlo Strapparava
- Word Semantic Representations using Bayesian Probabilistic Tensor Factorization
Jingwei Zhang, Jeremy Salwen, Michael Glass and Alfio Gliozzo
- Glove: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher and Christopher Manning
- Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures
Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa and Yoshimasa Tsuruoka
- Combining Distant and Partial Supervision for Relation Extraction
Gabor Angeli, Julie Tibshirani, Jean Wu and Christopher D. Manning
- Typed Tensor Decomposition of Knowledge Bases for Relation Extraction
Kai-Wei Chang, Wen-tau Yih, Bishan Yang and Christopher Meek
- A convex relaxation for weakly supervised relation extraction
Edouard Grave
- Knowledge Graph and Text Jointly Embedding
Zhen Wang, Jianwen Zhang, Jianlin Feng and Zheng Chen
- Abstractive Summarization of Product Reviews Using Discourse Structure
Shima Gerani, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng and Bita Nejat
- Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency
Li Zhao, Minlie Huang, Haiqiang Chen, Junjun Cheng and Xiaoyan Zhu
- Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach
Yue Hu and Xiaojun Wan
- Fast and Accurate Misspelling Correction in Large Corpora
Octavian Popescu and An Vo Ngoc
- Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models
Marcello Federico, Matteo Negri, Luisa Bentivogli and Marco Turchi
- Refining Word Segmentation Using a Manually Aligned Corpus for Statistical Machine Translation
Xiaolin Wang, Masao Utiyama, Andrew Finch and Eichiro Sumita
- Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs
Xiaoning Zhu, Zhongjun He, Hua Wu, Conghui Zhu, Haifeng Wang and Tiejun Zhao