EMNLP-CoNLL 2012(Conference on Empirical Methods in Natural Language Processing and Natural Language Learning)会议将于2012年7月12-14日在韩国济州岛举行，以下是会议录用文章的情况，原文请参考官方网站：http://emnlp-conll2012.unige.ch/papers.html
We received 563 submissions (not counting papers that were withdrawn or rejected without review).
We were able to accept 99 papers as talks and an additional 42 submissions as posters.
Talks
- A Novel Discriminative Framework for Sentence-Level Discourse Analysis Shafiq Joty, Giuseppe Carenini and Raymond Ng
- Natural Language Questions for the Web of Data Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp and Gerhard Weikum
- Entity based Q&A Retrieval Amit Singh
- Towards Efficient Named-Entity Rule Induction for Customizability Ajay Nagesh, Ganesh Ramakrishnan, Laura Chiticariu, Rajasekar Krishnamurthy, Ankush Dharkar and Pushpak Bhattacharyya
- Improving Transition-Based Dependency Parsing with Buffer Transitions Daniel Fernández-González and Carlos Gómez-RodrÃguez
- Entropy-based Pruning for Phrase-based Machine Translation Wang Ling, João Graça, Isabel Trancoso and Alan Black
- Fast Large-Scale Approximate Graph Construction for NLP Amit Goyal, Hal Daume III and Raul Guerra
- Sketch Algorithms for Estimating Point Queries in NLP Amit Goyal, Hal Daume III and Graham Cormode
- An Entity-Topic Model for Entity Linking Xianpei Han and Le Sun
- Monte Carlo MCMC: Efficient Inference for High-Degree Graphical Models Using Approximate MCMC Sameer Singh, Michael Wick and Andrew McCallum
- Improving Out of Domain Machine Translation with Decipherment Qing Dou and Kevin Knight
- N-gram-based Tense Model for Statistical Machine Translation Zhengxian Gong, Min Zhang, Chew Lim Tan and Guodong Zhou
- Bilingual Lexicon Extraction from Comparable Corpora Using Label Propagation Akihiro Tamura, Taro Watanabe and Eiichiro Sumita
- A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing Bernd Bohned and Joakim Nivre
- Exploring Topic Coherence over many models and many topics Keith Stevens, Philip Kegelmeyer, David Andrzejewski and David Buttler
- Inducing a Discriminative Parser to Optimize Machine Translation Reordering Graham Neubig, Taro Watanabe and Shinsuke Mori
- First order vs. higher order modification in distributional semantics Gemma Boleda, Eva Maria Vecchi, Miquel Cornudella and Louise McNally
- Multiple Aspect Summarization Using Integer Linear Programming Kristian Woodsend and Mirella Lapata
- Source Language Adaptation for Resource-Poor Machine Translation Pidong Wang, Preslav Nakov and Hwee Tou Ng
- Generating Non-Projective Word Order in Statistical Linearization Bernd Bohnet, Anders Björkelund, Jonas Kuhn, Wolfgang Seeker and Sina Zarriess
- Resolving metonymies with local and global context Vivi Nastase, Alex Judea and Michael Strube
- Biased Representation Learning for Domain Adaptation Fei Huang and Alexander Yates
- Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars Kewei Tu and Vasant Honavar
- Language Model Rest Costs and Space-Efficient Storage Kenneth Heafield, Philipp Koehn and Alon Lavie
- Probabilistic Finite State Machines for Regression-based MT Evaluation Mengqiu Wang and Christopher Manning
- Ensemble Semantics for Large-scale Unsupervised Relation Extraction Bonan Min, Shuming Shi, Ralph Grishman and Chin-Yew Lin
- Polarity Inducing Latent Semantic Analysis Wen-tau Yih, Geoffrey Zweig and John Platt
- Learning-based Multi-Sieve Co-reference Resolution with Knowledge. Lev Ratinov and Dan Roth
- Re-training Monolingual Parser Bilingually for Syntactic SMT Shujie Liu, Chi-Ho Li, Mu Li and Ming Zhou
- A Discriminative Model for Query Spelling Correction with Latent Structural SVM Huizhong Duan, Yanen Li, ChengXiang Zhai and Dan Roth
- Identifying Event-related Bursts via Social Media Activities Xin Zhao, Baihan Shu, Jing Jiang and Xiaoming Li
- Semantic Compositionality through Recursive Matrix-Vector Spaces Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng
- Unified Dependency Parsing of Chinese Morphological and Syntactic Structures Zhongguo Li and Guodong Zhou
- User demographics and language in an implicit social network Katja Filippova
- Learning Verb Entailment from Diverse Linguistic Evidence Hila Weisman, Jonathan Berant, Idan Szpektor and Ido Dagan
- Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints Alexander Rush, Roi Reichart, Michael Collins and Amir Globerson
- Joint Learning for Coreference Resolution with Markov Logic Yang Song, Jing Jiang, Xin Zhao and Houfeng Wang
- Active Learning for Imbalanced Sentiment Classification Shoushan Li, Shengfeng Ju and Guodong Zhou
- Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features Jiayi Zhao, Xipeng Qiu and Xuanjing Huang
- PATTY: A Taxonomy of Relational Patterns with Semantic Types Ndapandula Nakashole, Gerhard Weikum and Fabian Suchanek
- A New Minimally-Supervised Framework for Domain Word Sense Disambiguation Stefano Faralli and Roberto Navigli
- Using Discourse Information for Paraphrase Extraction Michaela Regneri and Rui Wang
- Exact Sampling and Decoding in High-Order Hidden Markov Models Simon Carter, Marc Dymetman and Guillaume Bouchard
- Generative Goal-Driven User Simulation for Dialog Management Aciel Eshky, Ben Allison and Mark Steedman
- Opinion Target Extraction Using Word-Based Translation Model Kang Liu, Liheng Xu and Jun Zhao
- Spectral Dependency Parsing with Latent Variables Paramveer Dhillon, Jordan Rodu, Michael Collins, Dean Foster and Lyle Ungar
- Generalized Higher-Order Dependency Parsing with Cube Pruning Hao Zhang and Ryan McDonald
- Document-Wide Decoding for Phrase-Based Statistical Machine Translation Christian Hardmeier, Joakim Nivre and Jörg Tiedemann
- A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes Robert Lindsey, William Headden and Michael Stipicevic
- Resolving Named Entities to Any Database Ernest Cronin, Avirup Sil, Penghai Nie, Yinfei Yang, Ana-Maria Popescu and Alexander Yates
- Joining Languages Pays Off: A Multilingual Joint Approach to Knowledge-based Word Sense Disambiguation Roberto Navigli and Simone Paolo Ponzetto
- A coherence model based on syntactic patterns Annie Louis and Ani Nenkova
- Constructing Task-Specific Taxonomies for Document Collection Browsing Hui Yang
- Exploiting Reducibility in Unsupervised Dependency Parsing David Mare?ek and Zden?k ?abokrtský
- Grounded Models of Semantic Representation Carina Silberer and Mirella Lapata
- A Bayesian Model for Learning SCFGs with Discontiguous Rules Abby Levenberg, Chris Dyer and Phil Blunsom
- Aligning Predicates across Monolingual Comparable Texts using Graph-based Clustering Michael Roth and Anette Frank
- A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts Lizhen Qu, Rainer Gemulla and Gerhard Weikum
- Answering Product Opinionated Questions by Exploiting Hierarchical Organization of Consumer Reviews Jianxing Yu, Zheng-Jun Zha and Tat-Seng Chua
- No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities Thomas Lin, Mausam and Oren Etzioni
- Forest Reranking through Subtree Ranking Richard Farkas and Helmut Schmid
- Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems Nina Dethlefs, Helen Hastie, Verena Rieser and Oliver Lemon
- A Systematic Comparison of Phrase Table Pruning Techniques Richard Zens, Daisy Stanton and Peng Xu
- Building a lightweight semantic model for unsupervised information extraction on short listings Doo Soon Kim, Kunal Verma and Peter Yeh
- Collocation Polarity Disambiguation Using Web-based Pseudo Contexts Yanyan Zhao, Bing Qin and Ting Liu
- Employing Compositional Semantics and Discourse Consistency in Chinese Event Extraction Peifeng Li, Guodong Zhou and Qiaoming Zhu
- Syntactic surprisal has an effect on spoken word duration Vera Demberg, Asad Sayeed, Philip Gorinski and Nikolaos Engonopoulos
- Reading The Web with Learned Syntactic-Semantic Inference Rules Ni Lao, Amar Subramanya, Fernando Pereira and William W. Cohen
- Streaming Analysis of Discourse Participants Benjamin Van Durme
- Besting the Quiz Master: Crowdsourcing Incremental Classification Games Jordan Boyd-Graber and Brianna Satinoff
- Regularized Interlingual Projections: Evaluation on Multilingual Transliteration Jagadeesh Jagarlamudi and Hal Daume III
- Learning Syntactic Categories Using Paradigmatic Representations of Word Context Mehmet Ali Yatbaz, Enis Sert and Deniz Yuret
- Learning to Map into Universal POS Tagset Yuan Zhang, Amir Globerson, Roi Reichart and Regina Barzilay
- Identifying Constant and Unique Relations by using Time-Series Texts Yohei Takaku, Nobuhiro Kaji, Naoki Yoshinaga and Masashi Toyoda
- Signed Attitude Networks: Predicting Positive and Negative Links using Linguistic Analysis Ahmed Hassan, Amjad Abu-Jbara and Dragomir Radev
- An Empirical Investigation of Statistical Significance in NLP Taylor Berg-Kirkpatrick, David Burkett and Dan Klein
- Left-to-Right Tree-to-String Decoding with Dynamic Future Cost Yang Feng, Yang Liu, Qun Liu and Trevor Cohn
- Resolving "This-issue" Anaphora Varada Kolhatkar and Graeme Hirst
- Minimal Dependency Length in Realization Ranking Michael White and Rajakrishnan Rajkumar
- Learning Constraints for Consistent Timeline Extraction David McClosky and Christopher Manning
- Extracting Opinion Expressions with semi-Markov Conditional Random Fields Bishan Yang and Claire Cardie
- Mixed Membership Markov Models for Unsupervised Conversation Modeling Michael Paul
- Transforming Trees to Improve Syntactic Convergence David Burkett and Dan Klein
- Lexical Differences in Autobiographical Narratives from Schizophrenic Patients and Healthy Controls Kai Hong, Christian Kohler, Mary March, Amber Parker and Ani Nenkova
- Universal Grapheme-to-Phoneme Prediction Over Latin Alphabets: A Graphical Model Approach Young-Bum Kim and Benjamin Snyder
- Syntactic Transfer Using a Bilingual Lexicon Greg Durrett, Adam Pauls and Dan Klein
- Characterizing Stylistic Elements in Syntactic Structure Song Feng, Ritwik Banerjee and Yejin Choi
- Revisiting the Predictability of Language: Response Completion in Social Media Bo Pang and Sujith Ravi
- On Amortizing Inference Cost for Structured Prediction Vivek Srikumar, Gourab Kundu and Dan Roth
- Supervised Text-based Geolocation Using Language Models on an Adaptive Grid Stephen Roller, Mike Speriosu, Sarat Rallapalli, Benjamin Wing and Jason Baldridge
- Why Question Answering using Sentiment Analysis and Word Classes Jong-Hoon Oh, Kentaro Torisawa, Chikara Hashimoto, Takuya Kawada, Stijn De Saeger, Junichi Kazama and Yiou Wang
- Training Factored PCFGs with Expectation Propagation David Hall and Dan Klein
- Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output Jonathan K. Kummerfeld, David Hall, James R. Curran and Dan Klein
- Automatic Text Summarization Using Reinforcement Learning Songgi Ryang and Takeshi Abekawa
- Learning String-to-String Transducers Via Transformation Models Nicholas Andrews, Jason Eisner and Mark Dredze
- Wiki-ly Supervised Part-of-Speech Tagging Shen Li, João Graça and Ben Taskar
- Multi-Domain Learning: When Do Domains Matter? Mahesh Joshi, Mark Dredze, William Cohen and Carolyn Rose
- Extending Machine Translation Evaluation Metrics for Document Level Evaluation based on Lexical Cohesion Billy T-M Wong
- Word Salad: Relating Food Prices and Descriptions Victor Chahuneau, Kevin Gimpel, Bryan R. Routledge, Lily Scherlis and Noah A. Smith
Posters
- Locally Training the Log-Linear Model for SMT Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu and Conghui Zhu
- Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation Wenbin Jiang, Fandong Meng, Qun Liu and Yajuan Lv
- Automatically Constructing a Normalisation Dictionary for Microblogs Bo Han, Paul Cook and Timothy Baldwin
- Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision Joohyun Kim and Raymond Mooney
- Forced Derivation Tree based Model Training to Statistical Machine Translation Nan Duan, Mu Li and Ming Zhou
- Multi-instance Multi-label Learning for Relation Extraction Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati and Christopher Manning
- An “AI readability” formula for French as a foreign language Thomas François and Cédrick Fairon
- Dynamic Programming for Higher Order Parsing of Gap-Minding Trees Emily Pitler, Sampath Kannan and Mitchell Marcus
- Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks Tao Zhuang and Chengqing Zong
- Joint Entity and Event Coreference Resolution across Documents Heeyoung Lee, Marta Recasens, Angel Chang, Mihai Surdeanu and Dan Jurafsky
- Joint Chinese Word Segmentation, POS Tagging and Parsing Xian Qian and Yang Liu
- Translation Model Based Cross-Lingual Data Selection for Language Model Adaptation: from Word Models to Phrase Models Shixiang Lu, Wei Wei, Xiaoyin Fu and Bo Xu
- Open Language Learning for Information Extraction Mausam, Michael Schmitz, Stephen Soderland, Robert Bart and Oren Etzioni
- Modelling Sequential Text with an Adaptive Topic Model Lan Du, Wray Buntine and Huidong Jin
- A Comparison of Vector-based Representations for Semantic Composition William Blacoe and Mirella Lapata
- Exploiting Chunk-level Features to Improve Phrase Chunking Junsheng Zhou, Weiguang Qu and Feng Zhang
- A Beam-Search Decoder for Grammatical Error Correction Daniel Dahlmeier and Hwee Tou Ng
- A Statistical Relational Learning Approach to Identifying Evidence Based Medicine categories Mathias Verbeke, Roser Morante, Vincent Van Asch, Paolo Frasconi, Walter Daelemans and Luc De Raedt
- Lyrics, Music, and Emotions Rada Mihalcea and Carlo Strapparava
- Assessment of ESL Learners' Syntactic Competence Based on Similarity Measures Su-Youn Yoon and Suma Bhat
- A Unified Approach to Transliteration-based Text Input with Online Spelling Correction Hisami Suzuki and Jianfeng Gao
- Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web Chikara Hashimoto, Kentaro Torisawa, Stijn De Saeger, Jong-Hoon Oh and Jun'ichi Kazama
- Enlarging Paraphrase Collections through Generalization and Instantiation Atsushi Fujita, Pierre Isabelle and Roland Kuhn
- Concurrent Acquisition of Word Meaning and Lexical Categories Afra Alishahi and Grzegorz Chrupala
- Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification Natalia Ponomareva and Mike Thelwall
- Learning Lexicon Models from Search Logs for Query Expansion Jianfeng Gao, Shasha Xie, Xiaodong He and Alnur Ali
- Joint Inference for Event Timeline Construction Quang Do, Wei Lu and Dan Roth
- Three Dependency-and-Boundary Models for Grammar Induction Valentin I. Spitkovsky, Hiyan Alshawi and Daniel Jurafsky
- Exploring Adaptor Grammars for Native Language Identification Sze-Meng Jojo Wong, Mark Dras and Mark Johnson
- Discovering Diverse and Salient Threads in Document Collections Alex Kulesza, Jennifer Gillenwater and Ben Taskar
- Generalizing Sub-sentential Paraphrase Acquisition across Original Signal of Text Pairs Aurélien Max, Houda Bouamor and Anne Vilnat
- Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers Sebastian Riedel, David Smith and Andrew McCallum
- Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach Jian Bo Yang, Qi Mao, Qiao Liang Xiang, Ivor Wai-Hung Tsang, Kian Ming Adam Chai and Hai Leong Chieu
- Weakly Supervised Semantic Parsing Jayant Krishnamurthy and Tom Mitchell
- Cross-Lingual Language Modeling with Syntactic Reordering for Low-Resource Speech Recognition Ping Xu and Pascale Fung
- Effectively Harnessing More Data for Unsupervised Dependency Parsing Mohit Bansal, Adam Pauls and Dan Klein
- Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge Altaf Rahman and Vincent Ng
- A Sequence Labelling Approach to Quote Attribution Timothy O'Keefe, Silvia Pareti, James Curran, Irena Koprinska and Matt Honnibal
- SSHLDA: A Semi-Supervised Hierarchical Topic Model Xian-Ling Mao, Zhao-Yan Ming, Tat-Seng Chua, Si Li, Hongfei Yan and Xiaoming Li
- Improving NLP through Marginalization of Hidden Syntactic Structure Jason Naradowsky, Sebastian Riedel and David Smith
- Type-supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries Dan Garrette and Jason Baldridge
- Explore Person Specific Evidence in Web Person Name Disambiguation Liwei Chen, Yansong Feng, Lei Zou and Dongyan Zhao