Table of Contents

• Modelling Compression with Discourse ConstraintsJames Clarke, Mirella Lapata. 1-11 [doi]
• Using Semantic Roles to Improve Question AnsweringDan Shen, Mirella Lapata. 12-21 [doi]
• What is the Jeopardy Model? A Quasi-Synchronous Grammar for QAMengqiu Wang, Noah A. Smith, Teruko Mitamura. 22-32 [doi]
• Learning Unsupervised SVM Classifier for Answer Selection in Web Question AnsweringYouzheng Wu, Ruiqiang Zhang, Xinhui Hu, Hideki Kashioka. 33-41 [doi]
• Improving Word Alignment with Bridge LanguagesShankar Kumar, Franz Josef Och, Wolfgang Macherey. 42-50 [doi]
• Getting the Structure Right for Word Alignment: LEAFAlexander Fraser, Daniel Marcu. 51-60 [doi]
• Improving Statistical Machine Translation Using Word Sense DisambiguationMarine Carpuat, Dekai Wu. 61-72 [doi]
• Large Margin Synchronous Generation and its Application to Sentence CompressionTrevor Cohn, Mirella Lapata. 73-82 [doi]
• Incremental Text Structuring with Online Hierarchical RankingErdong Chen, Benjamin Snyder, Regina Barzilay. 83-91 [doi]
• Automatically Identifying the Arguments of Discourse ConnectivesBen Wellner, James Pustejovsky. 92-101 [doi]
• Incremental Generation of Plural Descriptions: Similarity and PartitioningAlbert Gatt, Kees van Deemter. 102-111 [doi]
• A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical ErrorsJoachim Wagner, Jennifer Foster, Josef van Genabith. 112-121 [doi]
• Characterizing the Errors of Data-Driven Dependency Parsing ModelsRyan T. McDonald, Joakim Nivre. 122-131 [doi]
• Probabilistic Models of Nonprojective Dependency TreesDavid A. Smith, Noah A. Smith. 132-140 [doi]
• Structured Prediction Models via the Matrix-Tree TheoremTerry Koo, Amir Globerson, Xavier Carreras, Michael Collins. 141-150 [doi]
• Using Foreign Inclusion Detection to Improve Parsing PerformanceBeatrice Alex, Amit Dubey, Frank Keller. 151-160 [doi]
• LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference RulesRahul Bhagat, Patrick Pantel, Eduard H. Hovy. 161-170 [doi]
• Modelling Polysemy in Adjective Classes by Multi-Label ClassificationGemma Boleda, Sabine Schulte im Walde, Toni Badia. 171-180 [doi]
• Improving Query Spelling Correction Using Web Search ResultsQing Chen, Mu Li, Ming Zhou. 181-189 [doi]
• Towards Robust Unsupervised Personal Name DisambiguationYing Chen, James Martin. 190-198 [doi]
• Compressing Trigram Language Models With Golomb CodingKenneth Church, Ted Hart, Jianfeng Gao. 199-207 [doi]
• Joint Morphological and Syntactic DisambiguationShay B. Cohen, Noah A. Smith. 208-217 [doi]
• Unsupervised Part-of-Speech Acquisition for Resource-Scarce LanguagesSajib Dasgupta, Vincent Ng. 218-227 [doi]
• Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency ParsingGünes Erkan, Arzucan Özgür, Dragomir R. Radev. 228-237 [doi]
• A Sequence Alignment Model Based on the Averaged PerceptronDayne Freitag, Shahram Khadivi. 238-247 [doi]
• Instance Based Lexical Entailment for Ontology PopulationClaudio Giuliano, Alfio Massimiliano Gliozzo. 248-256 [doi]
• Recovering Non-Local Dependencies for ChineseYuqing Guo, Haifeng Wang, Josef van Genabith. 257-266 [doi]
• Exploiting Multi-Word Units in History-Based Probabilistic GenerationDeirdre Hogan, Conor Cafferkey, Aoife Cahill, Josef van Genabith. 267-276 [doi]
• Hierarchical System Combination for Machine TranslationFei Huang, Kishore Papineni. 277-286 [doi]
• Using RBMT Systems to Produce Bilingual Corpus for SMTXiaoguang Hu, Haifeng Wang, Hua Wu. 287-295 [doi]
• Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese ParserDaisuke Kawahara, Sadao Kurohashi. 306-314 [doi]
• A New Perceptron Algorithm for Sequence Labeling with Non-Local FeaturesJun ichi Kazama, Kentaro Torisawa. 315-324 [doi]
• Extending a Thesaurus in the Pan-Chinese ContextOi Yee Kwong, Benjamin Ka-Yin T sou. 325-333 [doi]
• Low-Quality Product Review Detection in Opinion SummarizationJingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang, Ming Zhou. 334-342 [doi]
• Improving Statistical Machine Translation Performance by Training Data Selection and OptimizationYajuan Lü, Jin Huang, Qun Liu. 343-350 [doi]
• Topic Segmentation with Hybrid Document IndexingIrina Matveeva, Gina-Anne Levow. 351-359 [doi]
• Syntactic Re-Alignment Models for Machine TranslationJonathan May, Kevin Knight. 360-368 [doi]
• Detecting Compositionality of Verb-Object Combinations using Selectional PreferencesDiana McCarthy, Sriram Venkatapathy, Aravind K. Joshi. 369-379 [doi]
• Explorations in Automatic Book SummarizationRada Mihalcea, Hakan Ceylan. 380-389 [doi]
• Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic TextsTaesun Moon, Jason Baldridge. 390-399 [doi]
• Flexible, Corpus-Based Modelling of Human Plausibility JudgementsSebastian Padó, Ulrike Padó, Katrin Erk. 400-409 [doi]
• V-Measure: A Conditional Entropy-Based External Cluster Evaluation MeasureAndrew Rosenberg, Julia Hirschberg. 410-420 [doi]
• Bayesian Document Generative Model with Explicit Multiple TopicsIssei Sato, Hiroshi Nakagawa. 421-429 [doi]
• Smooth Bilingual N-Gram TranslationHolger Schwenk, Marta R. Costa-Jussà, José A. R. Fonollosa. 430-438 [doi]
• Morphological Disambiguation of Hebrew: A Case Study in Classifier CombinationDanny Shacham, Shuly Wintner. 439-447 [doi]
• Enhancing Single-Document Summarization by Combining RankNet and Third-Party SourcesKrysta Marie Svore, Lucy Vanderwende, Christopher J. C. Burges. 448-457 [doi]
• Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact CentersHironori Takeuchi, L. Venkata Subramaniam, Tetsuya Nasukawa, Shourya Roy. 458-467 [doi]
• Smoothed Bloom Filter Language Models: Tera-Scale LMs on the CheapDavid Talbot, Miles Osborne. 468-476 [doi]
• Word Sense Disambiguation Incorporating Lexical and Structural Semantic InformationTakaaki Tanaka, Francis Bond, Timothy Baldwin, Sanae Fujita, Chikara Hashimoto. 477-485 [doi]
• An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated DataKatrin Tomanek, Joachim Wermter, Udo Hahn. 486-495 [doi]
• Antecedent Selection Techniques for High-Recall Coreference ResolutionYannick Versley. 496-505 [doi]
• Methods to Integrate a Language Model with Semantic Information for a Word Prediction ComponentTonio Wandmacher, Jean-Yves Antoine. 506-513 [doi]
• Bilingual Cluster Based Models for Statistical Machine TranslationHirofumi Yamamoto, Eiichiro Sumita. 514-523 [doi]
• A Systematic Comparison of Training Criteria for Statistical Machine TranslationRichard Zens, Sasa Hasan, Hermann Ney. 524-532 [doi]
• Phrase Reordering Model Integrating Syntactic Knowledge for SMTDongDong Zhang, Mu Li, Chi-Ho Li, Ming Zhou. 533-540 [doi]
• Identification and Resolution of Chinese Zero Pronouns: A Machine Learning ApproachShanheng Zhao, Hwee Tou Ng. 541-550 [doi]
• Parsimonious Data-Oriented ParsingWillem Zuidema. 551-560 [doi]
• Generating Lexical Analogies Using Dependency RelationsAndy Chiu, Pascal Poupart, Chrysanne DiMarco. 561-570 [doi]
• Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic DistanceSaif Mohammad, Iryna Gurevych, Graeme Hirst, Torsten Zesch. 571-580 [doi]
• Lexical Semantic Relatedness with Random Graph WalksThad Hughes, Daniel Ramage. 581-589 [doi]
• Experimental Evaluation of LTAG-Based Features for Semantic Role LabelingYudong Liu, Anoop Sarkar. 590-599 [doi]
• Japanese Dependency Analysis Using the Ancestor-Descendant RelationAkihiro Tamura, Hiroya Takamura, Manabu Okumura. 600-609 [doi]
• A Discriminative Learning Model for Coordinate ConjunctionsMasashi Shimbo, Kazuo Hara. 610-619 [doi]
• Recovery of Empty Nodes in Parse StructuresDenis Filimonov, Mary P. Harper. 620-629 [doi]
• Treebank Annotation Schemes and Parser Evaluation for GermanInes Rehbein, Josef van Genabith. 630-639 [doi]
• Semi-Markov Models for Sequence SegmentationQinfeng Shi, Yasemin Altun, Alex J. Smola, S. V. N. Vishwanathan. 640-648 [doi]
• A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random FieldsYotaro Watanabe, Masayuki Asahara, Yuji Matsumoto. 649-657 [doi]
• MavenRank: Identifying Influential Members of the US Senate Using Lexical CentralityAnthony Fader, Dragomir R. Radev, Michael H. Crespin, Burt L. Monroe, Kevin M. Quinn, Michael Colaresi. 658-666 [doi]
• Bootstrapping Feature-Rich Dependency Parsers with Entropic PriorsDavid A. Smith, Jason Eisner. 667-677 [doi]
• Online Learning of Relaxed CCG Grammars for Parsing to Logical FormLuke S. Zettlemoyer, Michael Collins. 678-687 [doi]
• The Infinite PCFG Using Hierarchical Dirichlet ProcessesPercy Liang, Slav Petrov, Michael I. Jordan, Dan Klein. 688-697 [doi]
• Exploiting Wikipedia as External Knowledge for Named Entity RecognitionJun ichi Kazama, Kentaro Torisawa. 698-707 [doi]
• Large-Scale Named Entity Disambiguation Based on Wikipedia DataSilviu Cucerzan. 708-716 [doi]
• Effective Information Extraction with Semantic Affinity Patterns and Relevant RegionsSiddharth Patwardhan, Ellen Riloff. 717-727 [doi]
• Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree InformationGuodong Zhou, Min Zhang, Dong-Hong Ji, Qiaoming Zhu. 728-736 [doi]
• Chinese Syntactic Reordering for Statistical Machine TranslationChao Wang, Michael Collins, Philipp Koehn. 737-745 [doi]
• Binarizing Syntax Trees to Improve Syntax-Based Machine Translation AccuracyWei Wang 0006, Kevin Knight, Daniel Marcu. 746-754 [doi]
• What Can Syntax-Based MT Learn from Phrase-Based MT?Steve DeNeefe, Kevin Knight, Wei Wang 0006, Daniel Marcu. 755-763 [doi]
• Online Large-Margin Training for Statistical Machine TranslationTaro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki. 764-773 [doi]
• Scalable Term Selection for Text CategorizationJingyang Li, Maosong Sun. 774-782 [doi]
• Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance ProblemJingbo Zhu, Eduard H. Hovy. 783-790 [doi]
• Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative ApproachJun Suzuki, Akinori Fujino, Hideki Isozaki. 791-800 [doi]
• Finding Good Sequential Model Structures using Output TransformationsEdward Loper. 801-809 [doi]
• A Statistical Language Modeling Approach to Lattice-Based Spoken Document RetrievalTee Kiah Chia, Haizhou Li, Hwee Tou Ng. 810-818 [doi]
• Learning Noun Phrase Query SegmentationShane Bergsma, Qin Iris Wang. 819-826 [doi]
• Bootstrapping Information Extraction from Field BooksSander Canisius, Caroline Sporleder. 827-836 [doi]
• Extracting Data Records from Unstructured Biomedical Full TextDonghui Feng, Gully Burns, Eduard H. Hovy. 837-846 [doi]
• Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior DecodingAriel S. Schwartz, Anna Divoli, Marti A. Hearst. 847-857 [doi]
• Large Language Models in Machine TranslationThorsten Brants, Ashok C. Popat, Peng Xu, Franz Josef Och, Jeffrey Dean. 858-867 [doi]
• Factored Translation ModelsPhilipp Koehn, Hieu Hoang. 868-876 [doi]
• Translating Unknown Words by Analogical LearningPhilippe Langlais, Alexandre Patry. 877-886 [doi]
• A Probabilistic Approach to Diachronic PhonologyAlexandre Bouchard-Côté, Percy Liang, Thomas L. Griffiths, Dan Klein. 887-896 [doi]
• Learning Structured Models for Phone RecognitionSlav Petrov, Adam Pauls, Dan Klein. 897-905 [doi]
• Inducing Search Keys for Name FilteringKarl Branting. 906-914 [doi]
• The CoNLL 2007 Shared Task on Dependency ParsingJoakim Nivre, Johan Hall, Sandra Kübler, Ryan T. McDonald, Jens Nilsson, Sebastian Riedel, Deniz Yuret. 915-932 [doi]
• Single Malt or Blended? A Study in Multilingual Parser OptimizationJohan Hall, Jens Nilsson, Joakim Nivre, Gülsen Eryigit, Beáta Megyesi, Mattias Nilsson, Markus Saers. 933-939 [doi]
• Probabilistic Parsing Action Models for Multi-Lingual Dependency ParsingXiangyu Duan, Jun Zhao, Bo Xu. 940-946 [doi]
• Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable ModelIvan Titov, James Henderson. 947-951 [doi]
• Multilingual Dependency Parsing Using Global FeaturesTetsuji Nakagawa. 952-956 [doi]
• Experiments with a Higher-Order Projective Dependency ParserXavier Carreras. 957-961 [doi]
• Log-Linear Models of Non-Projective Trees, k -best MST Parsing and Tree-RankingKeith Hall, Jirí Havelka, David A. Smith. 962-966 [doi]
• Improving Translation Quality by Discarding Most of the PhrasetableHoward Johnson, Joel D. Martin, George F. Foster, Roland Kuhn. 967-975 [doi]
• Hierarchical Phrase-Based Translation with Suffix ArraysAdam Lopez. 976-985 [doi]
• An Empirical Study on Computing Consensus Translations from Multiple Machine Translation SystemsWolfgang Macherey, Franz Josef Och. 986-995 [doi]
• Learning to Find English to Chinese Transliterations on the WebJian-Cheng Wu, Jason S. Chang. 996-1004 [doi]
• Learning to Merge Word SensesRion Snow, Sushant Prakash, Daniel Jurafsky, Andrew Y. Ng. 1005-1014 [doi]
• Improving Word Sense Disambiguation Using Topic FeaturesJunfu Cai, Wee Sun Lee, Yee Whye Teh. 1015-1023 [doi]
• A Topic Model for Word Sense DisambiguationJordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu. 1024-1033 [doi]
• Validation and Evaluation of Automatically Acquired Multiword Expressions for Grammar EngineeringAline Villavicencio, Valia Kordoni, Yi Zhang 0003, Marco Idiart, Carlos Ramisch. 1034-1043 [doi]
• Dependency Parsing and Domain Adaptation with LR Models and Parser EnsemblesKenji Sagae, Jun-ichi Tsujii. 1044-1050 [doi]
• Frustratingly Hard Domain Adaptation for Dependency ParsingMark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando Pereira. 1051-1055 [doi]
• Crystal: Analyzing Predictive Opinions on the WebSoo-Min Kim, Eduard H. Hovy. 1056-1064 [doi]
• Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion MiningNozomi Kobayashi, Kentaro Inui, Yuji Matsumoto. 1065-1074 [doi]
• Building Lexicon for Sentiment Analysis from Massive Collection of HTML DocumentsNobuhiro Kaji, Masaru Kitsuregawa. 1075-1083 [doi]
• Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic FeaturesNizar Habash, Ryan Gabbard, Owen Rambow, Seth Kulick, Mitchell P. Marcus. 1084-1092 [doi]
• Mandarin Part-of-Speech Tagging and Discriminative RerankingZhongqiang Huang, Mary P. Harper, Wen Wang. 1093-1102 [doi]
• Building Domain-Specific Taggers without Annotated (Domain) DataJohn Miller, Manabu Torii, K. Vijay-Shanker. 1103-1111 [doi]
• Multilingual Dependency Parsing and Domain Adaptation using DeSRGiuseppe Attardi, Felice Dell Orletta, Maria Simi, Atanas Chanev, Massimiliano Ciaramita. 1112-1118 [doi]
• Hybrid Ways to Improve Domain Independence in an ML Dependency ParserEckhard Bick. 1119-1123 [doi]
• A Constraint Satisfaction Approach to Dependency ParsingSander Canisius, Erik Tjong Kim Sang. 1124-1128 [doi]
• A Two-Stage Parser for Multilingual Dependency ParsingWenliang Chen, Yujie Zhang, Hitoshi Isahara. 1129-1133 [doi]
• Incremental Dependency Parsing Using Online LearningRichard Johansson, Pierre Nugues. 1134-1138 [doi]
• Online Learning for Deterministic Dependency ParsingPrashanth Mannem. 1139-1143 [doi]
• Covington VariationsSvetoslav Marinov. 1144-1148 [doi]
• A Multilingual Dependency Analysis System Using Online Passive-Aggressive LearningMinh Le Nguyen, Akira Shimazu, Thai Phuong Nguyen, Xuan Hieu Phan. 1149-1155 [doi]
• Global Learning of Labeled Dependency TreesMichael Schiehlen, Kristina Spranger. 1156-1160 [doi]
• Pro3Gres Parser in the CoNLL Domain Adaptation Shared TaskGerold Schneider, Kaarel Kaljurand, Fabio Rinaldi, Tobias Kuhn. 1161-1165 [doi]
• Structural Correspondence Learning for Dependency ParsingNobuyuki Shimizu, Hiroshi Nakagawa. 1166-1169 [doi]
• Adapting the RASP System for the CoNLL07 Domain-Adaptation TaskRebecca Watson, Ted Briscoe. 1170-1174 [doi]
• Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector MachinesYu-Chieh Wu, Jie Chi Yang, Yue-Shi Lee. 1175-1181 [doi]