List of accepted papers
We received 628 submissions (not counting papers that were withdrawn or rejected without review).
We were able to accept 95 papers as talks and an additional 54 submissions as posters.
All papers are available in PDF format on the ACL Antology.
Talks
- A Weakly-supervised Approach to Argumentative Zoning of Scientific Documents Yufan Guo, Anna Korhonen and Thierry Poibeau
- Linear Text Segmentation Using Affinity Propagation Anna Kazantseva and Stan Szpakowicz
- Predicting Thread Discourse Structure over Technical Web Forums Li Wang, Marco Lui, Su Nam Kim, Joakim Nivre and Timothy Baldwin
- Minimally Supervised Event Causality Extraction Quang Do, Yee Seng Chan and Dan Roth
- A Model of Discourse Predictions in Human Sentence Processing Amit Dubey, Frank Keller and Patrick Sturt
- Named Entity Recognition in Tweets: An Experimental Study Alan Ritter, Sam Clark, Mausam and Oren Etzioni
- Identifying Relations for Open Information Extraction Anthony Fader, Stephen Soderland and Oren Etzioni
- Active Learning with Amazon Mechanical Turk Florian Laws, Christian Scheible and Hinrich Schütze
- Extreme Extraction — Machine Reading in a Week Marjorie Freedman, Lance Ramshaw, Elizabeth Boschee, Ryan Gabbard, Nicolas Ward and Ralph Weischedel
- Fast and Robust Joint Models for Biomedical Event Extraction Sebastian Riedel and Andrew McCallum
- Structured Relation Discovery using Generative Models Limin Yao, Aria Haghighi, Sebastian Riedel and Andrew McCallum
- Discovering Relations between Noun Categories Thahir Mohamed, Estevam Hruschka and Tom Mitchell
- Bootstrapped Named Entity Recognition for Product Attribute Extraction Duangmanee Putthividhya and Junling Hu
- Using Syntactic and Semantic Structural Kernels for Classifying Definition Questions in Jeopardy! Alessandro Moschitti, Jennifer Chu-carroll, Siddharth Patwardhan, James Fan and Giuseppe Riccardi
- Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French Spence Green, Marie-Catherine de Marneffe, John Bauer and Christopher D. Manning
- Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances Burr Settles
- Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora Matteo Negri, Luisa Bentivogli, Yashar Mehdad, Danilo Giampiccolo and Alessandro Marchetti
- Multi-Source Transfer of Delexicalized Dependency Parsers Ryan McDonald, Slav Petrov and Keith Hall
- Training dependency parsers by jointly optimizing multiple objectives Keith Hall, Ryan McDonald, Jason Katz-Brown and Michael Ringgaard
- Predicting a Scientific Community’s Response to an Article Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge and Noah A. Smith
- Personalized Recommendation of User Comments via Factor Models Deepak Agarwal, Bee-Chung Chen and Bo Pang
- Structured Sparsity in Structured Prediction Andre Martins, Noah Smith, Mario Figueiredo and Pedro Aguiar
- Bayesian Checking for Topic Models David Mimno and David Blei
- Optimizing Semantic Coherence in Topic Models David Mimno, Hanna Wallach, Edmund Talley, Miriam Leenders and Andrew McCallum
- Dual Decomposition with Many Slaves Andre Martins, Noah Smith, Mario Figueiredo and Pedro Aguiar
- Approximate Scalable Bounded Space Sketch for Large Data NLP Amit Goyal and Hal Daume
- Tuning as Ranking Mark Hopkins and Jonathan May
- Language Models for Machine Translation: Original vs. Translated Texts Gennadi Lembersky, Noam Ordan and Shuly Wintner
- Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax Jiajun Zhang, Feifei Zhai and Chengqing Zong
- Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation. Ashish Venugopal, Jakob Uszkoreit, David Talbot, Franz Och and Juri Ganitkevitch
- Hierarchical Phrase-based Translation Representations Gonzalo Iglesias, Cyril Allauzen, William Byrne, Adrià de Gispert and Michael Riley
- Transliteration Mining Using Parallel Fragment Extraction Ali El Kahki, Kareem Darwish, Ahmed Saad El Din, Mohamed Abd El-Wahab and Ahmed Hefny
- Better Evaluation Metrics Lead to Better Machine Translation Chang Liu, Daniel Dahlmeier and Hwee Tou Ng
- A Word Reordering Model for Improved Machine Translation Karthik Visweswariah, Rajakrishnan Rajkumar, Ankur Gandhe, Ananthakrishnan Ramanathan and Jiri Navratil
- Exact Search for Minimum Error Rate Training Michel Galley and Chris Quirk
- Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation Yin-Wen Chang and Michael Collins
- Feature-Rich, Language-Independent, Syntax-Based Alignment for Statistical Machine Translation Jason Riesa, Ann Irvine and Daniel Marcu
- Domain Adaptation via Pseudo In-Domain Data Selection amittai axelrod, xiaodong he and jianfeng gao
- Efficient retrieval of tree translation examples for Syntax-Based Machine Translation Fabien Cromieres and Sadao Kurohashi
- Training a Parser for Machine Translation Reordering Jason Katz-Brown, Slav Petrov, Ryan McDonald, David Talbot, Franz Och, Hiroshi Ichikawa, Masakazu Seno and Hideto Kazawa
- Inducing Sentence Structure from Parallel Corpora for Reordering John DeNero and Jakob Uszkoreit
- Quasi-Synchronous Phrase Dependency Grammars for Machine Translation Kevin Gimpel and Noah A. Smith
- A novel dependency-to-string model for statistical machine translation Jun Xie, Haitao Mi and Qun Liu
- Non-parametric Bayesian Segmentation of Japanese Noun Phrases Yugo Murawaki and Sadao Kurohashi
- Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model Markus Dreyer and Jason Eisner
- Multilayer Sequence Labeling Ai Azuma and Yuji Matsumoto
- Simple Effective Decipherment via Combinatorial Optimization Taylor Berg-Kirkpatrick and Dan Klein
- Large-Scale Cognate Recovery David Hall and Dan Klein
- A Bayesian Mixture Model for PoS Induction Using Multiple Features Christos Christodoulopoulos, Sharon Goldwater and Mark Steedman
- Universal Morphological Analysis using Structured Nearest Neighbor Prediction Young-Bum Kim and Benjamin Snyder
- A Recurring Fragment Model for Accurate Parsing: Double-DOP Federico Sangati and Willem Zuidema
- Third-order Variational Reranking on Packed-Shared Dependency Forests Hayashi Katsuhiko, Watanabe Taro, Asahara Masayuki and Matsumoto Yuji
- Parser Evaluation over Local and Non-Local Deep Dependencies in Large Corpora Emily M. Bender, Dan Flickinger, Stephan Oepen and Yi Zhang
- Training a Log-Linear Parser with Loss Functions via Softmax-Margin Michael Auli and Adam Lopez
- SMT Helps Bitext Dependency Parsing Wenliang Chen, Jun'ichi Kazama, Min Zhang, Yoshimasa Tsuruoka, Yujie Zhang, Yiou Wang, Kentaro Torisawa and Haizhou Li
- Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming Kristian Woodsend and Mirella Lapata
- Bootstrapping Semantic Parsers from Conversations Yoav Artzi and Luke Zettlemoyer
- Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance Shay B. Cohen, Dipanjan Das and Noah A. Smith
- Evaluating Dependency Parsing: Robust and Heuristics-Free Cross-Annotation Evaluation Reut Tsarfaty, Joakim Nivre and Evelina Andersson
- Lexical Generalization in CCG Grammar Induction for Semantic Parsing Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater and Mark Steedman
- Literal and Metaphorical Sense Identification through Concrete and Abstract Context Peter Turney, Yair Neuman, Dan Assaf and Yohai Cohen
- Cross-Cutting Models of Lexical Semantics Joseph Reisinger and Raymond Mooney
- Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus Su Nam Kim and Preslav Nakov
- Reducing Grounded Learning Tasks To Grammatical Inference Benjamin Börschinger, Bevan K. Jones and Mark Johnson
- Relation Extraction with Relation Topics Chang Wang, James Fan, Aditya Kalyanpur and David Gondek
- A Generate and Rank Approach to Sentence Paraphrasing Prodromos Malakasiotis and Ion Androutsopoulos
- Linguistic Redundancy in Twitter Fabio Massimo Zanzotto, Marco Pennaccchiotti and Kostas Tsioutsiouliklis
- Exploring Supervised LDA Models for Assigning Attributes to Adjective-Noun Phrases Matthias Hartung and Anette Frank
- Unsupervised Semantic Role Labeling with Graph Partitioning Joel Lang and Mirella Lapata
- Experimental Support for a Categorical Compositional Distributional Model of Meaning Edward Grefenstette and Mehrnoosh Sadrzadeh
- Semantic Topic Models: Combining Word Distributional Statistics and Dictionary Definitions Weiwei Guo and Mona Diab
- A generative model for unsupervised discovery of relations and argument classes from clinical texts Bryan Rink and Sanda Harabagiu
- Correcting Semantic Collocation Errors with L1-induced Paraphrases Daniel Dahlmeier and Hwee Tou Ng
- Random Walk Inference and Learning Ni Lao, Tom Mitchell and William W. Cohen
- Class Label Enhancement via Related Instances Zornitsa Kozareva, Konstantin Voevodski and Shanghua Teng
- A Simple Joint Model for Extending Semantic Role Labeling Vivek Srikumar and Dan Roth
- Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews Jianxing Yu, Zheng-Jun Zha and Tat-Seng Chua
- Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities Lanjun Zhou, Binyang Li, Wei Gao, Zhongyu Wei and Kam-Fai Wong
- Structural Opinion Mining for Graph-based Sentiment Representation Yuanbin Wu, Qi Zhang and Xuanjing Huang
- Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! Using Word Lengthening to Detect Sentiment in Microblogs Samuel Brody and Nicholas Diakopoulos
- Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher, Jeffrey Pennington, Eric Huang, Andrew Y. Ng and Christopher D. Manning
- Compositional Matrix-Space Models for Sentiment Analysis Ainur Yessenalina and Claire Cardie
- Syntactic Decision Tree LMs: Random Selection or Intelligent Design? Denis Filimonov and Mary Harper
- The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources Keith Vertanen and Per Ola Kristensson
- Timeline Generation through Evolutionary Trans-Temporal Summarization Rui Yan, Congrui Huang, Xiaojun Wan, Xiaoming Li and Yan Zhang
- Summarize What You Are Interested In: An Optimization Framework for Interactive Personalized Summarization Rui Yan, Jian-Yun Nie and Xiaoming Li
- Corpus-Guided Sentence Generation of Natural Images Yezhou Yang, Ching Teo and Hal Daume III
- Data-Driven Response Generation in Social Media Alan Ritter, Colin Cherry and Bill Dolan
- Corroborating Text Evaluation Results with Heterogeneous Measures Enrique Amig?, Julio Gonzalo, Jesus Gimenez and Felisa Verdejo
- A Probabilistic Forest-to-String Model for Language Generation from Typed Lambda Calculus Expressions Wei Lu and Hwee Tou Ng
- Ranking Human and Machine Summarization Systems Peter Rankel, John Conroy, Eric Slud and Dianne O'Leary
- Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter Eiji Aramaki, Sachiko Maskawa and Mizuki Morita
- A Simple Word Trigger Method for Social Tag Suggestion Zhiyuan Liu, Xinxiong Chen, Peng Li and Maosong Sun
- Rumor has it: Identifying Misinformation in Microblogs Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev and Qiaozhu Mei
- Exploiting Parse Structures for Native Language Identification Sze-Meng Jojo Wong and Mark Dras
Posters
- Modelling Discourse Relations for Arabic Amal Al-Saif and Katja Markert
- Classifying Sentences as Speech Acts in Message Board Posts Ashequl Qadir and Ellen Riloff
- Relation Acquisition using Word Classes and Partial Patterns Stijn De Saeger, Kentaro Torisawa, Masaaki Tsuchida, Jun'ichi Kazama, Chikara Hashimoto, Ichiro Yamada, Jong Hoon Oh, Istvan Varga and Yulan Yan
- Cache-based Document-level Statistical Machine Translation Zhengxian Gong and Guodong Zhou
- Learning Local Content Shift Detectors from Document-level Information Richard Farkas
- Collaborative Ranking: A Case Study on Entity Linking Zheng Chen and Heng Ji
- Robust Disambiguation of Named Entities in Text Johannes Hoffart, Mohamed Amir Yosef, Ilaria Bordino, Hagen Fürstenau, Manfred Pinkal, Marc Spaniol, Stefan Thater and Gerhard Weikum
- A Cascaded Classification Approach to Semantic Head Recognition Lukas Michelbacher, Martin Forst, Alok Kothari, Christina Lioma and Hinrich Schütze
- Linking Entities to a Knowledge Base with Query Expansion Swapna Gottipati and Jing Jiang
- Unsupervised Information Extraction with Distributional Prior Knowledge Cane Wing-ki Leung, Jing Jiang, Hai Leong Chieu, Kian Ming Adam Chai and Loo-Nin Teow
- Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources Yulia Tsvetkov and Shuly Wintner
- Analizing Methods for Improving Precision of Pivot Based Bilingual Dictionaries Xabier Saralegi, Iker Manterola and Iñaki San Vicente
- Entire Relaxation Path for Maximum Entropy Problems Moshe Dubiner and Yoram Singer
- A Non-negative Matrix Factorization Based Approach for Active Dual Supervision from Document and Word Labels Chao Shen and Tao Li
- Soft Dependency Constraints for Reordering in Hierarchical Phrase-Based Translation Yang Gao, Philipp Koehn and Alexandra Birch
- Statistical Machine Translation with Local Language Models Christof Monz
- Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training Xinyan Xiao, Yang Liu, Qun Liu and Shouxun Lin
- A Correction Model for Word Alignments J.S. McCarley, A. Ittycheriah, B. Xiang and J.-M. Xu
- Heuristic Search for Non-Bottom-Up Tree Structure Prediction. Andrea Gesmundo and James Henderson
- Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation Zhifei Li, Ziyuan Wang, Jason Eisner, Sanjeev Khudanpur and Brian Roark
- Improving Bilingual Projections via Sparse Covariance Matrices Jagadeesh Jagarlamudi, Raghavendra Udupa, Hal Daume III and Abhijit Bhole
- Splitting Noun Compounds via Monolingual and Bilingual Paraphrasing: A Study on Japanese Katakana Words Nobuhiro Kaji and Masaru Kitsuregawa
- Enhancing Chinese Word Segmentation Using Unlabeled Data Weiwei Sun
- Joint Models for Chinese POS Tagging and Dependency Parsing Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen and Haizhou Haizhou
- Relaxed Cross-lingual Projection of Constituent Syntax Wenbin Jiang, Qun Liu and Yajuan Lv
- Computing Logical Form on Regulatory Texts Nikhil Dinesh, Aravind Joshi and Insup Lee
- Computation of Infix Probabilities for Probabilistic Context-Free Grammars Mark-Jan Nederhof and Giorgio Satta
- Resolving Dif?cult Syntactic Attachments with Parse Correction Enrique Henestroza Anguiano and Marie Candito
- Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing Shay B. Cohen, Carlos Gomez-Rodriguez and Giorgio Satta
- Semi-supervised CCG Lexicon Extensions Emily Thomforde and Mark Steedman
- A Fast, Effective, Non-Projective, Semantically-Enriched Parser Stephen Tratz and Eduard Hovy
- Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky
- Unsupervised Dependency Parsing without Gold Part-of-Speech Tags Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky
- Unsupervised Learning of Selectional Restrictions and Detection of Argument Coercions Kirk Roberts and Sanda Harabagiu
- Harnessing different knowledge sources to measure semantic relatedness under a uniform model Ziqi Zhang, Anna Lisa Gentile and Fabio Ciravegna
- Refining the Notions of Depth and Density in WordNet-based Semantic Similarity Measures Tong Wang and Graeme Hirst
- Latent Vector Weighting for Word Meaning in Context Tim Van de Cruys, Thierry Poibeau and Anna Korhonen
- Hierarchical Verb Clustering Using Graph Factorization Lin Sun and Anna Korhonen
- Structured Lexical Similarity via Convolution Kernels on Dependency Trees Danilo Croce, Alessandro Moschitti and Roberto Basili
- Probabilistic models of similarity in syntactic context Diarmuid Ó Séaghdha and Anna Korhonen
- Lexical Co-occurrence, Statistical Significance, and Word Association Dipak L. Chaudhari, Om P. Damani and Srivatsan Laxman
- Learning the Information Status of Noun Phrases Altaf Rahman and Vincent Ng
- Harnessing WordNet senses for Supervised Sentiment Classification Balamurali AR, Aditya Joshi and Pushpak Bhattacharyya
- Learning General Connotation of Words using Graph-based Algorithms Song Feng, Ritwik Bose and Yejin Choi
- Hypotheses Selection Criteria in a Reranking Framework for Spoken Language Understanding Marco Dinarelli and Sophie Rosset
- A Fast Re-scoring Strategy to Capture Long-Distance Dependencies Anoop Deoras, Tomas Mikolov and Kenneth Church
- Efficient Subsampling for Training Complex Language Models Puyang Xu, Asela Gunawardana and Sanjeev Khudanpur
- Generating Aspect-oriented Multi-Document Summarization with Event-aspect model Peng Li, Jing Jiang, Wei Gao and Yinglin Wang
- Syntax-Based Grammaticality Improvement using CCG and Guided Search Yue Zhang and Stephen Clark
- Generating Subsequent Reference in Shared Visual Scenes: Computation vs Re-Use Jette Viethen, Robert Dale and Markus Guhe
- Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles and Ben Van Durme
- Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models Wei Xu, Joel Tetreault, Martin Chodorow, Ralph Grishman and Le Zhao
- Discriminating Gender on Twitter John Burger, John Henderson, George Kim and Guido Zarrella
- Identifying and Following Expert Investors on Twitter Roy Bar-Haim, Elad Dinur, Ronen Feldman, Moshe Fresko and Guy Goldstein