Dekang Lin

Dekang Lin: A Probabilistic Network of Predicates. CoRR abs/1303.5415 (2013)

Dekang Lin, Randy Goebel: Integrating Probabilistic, Taxonomic and Causal Knowledge in Abductive Diagnosis. CoRR abs/1304.1086 (2013)

Mohit Bansal, John DeNero, Dekang Lin: Unsupervised Translation Sense Clustering. HLT-NAACL 2012: 773-782

Dekang Lin, Yuji Matsumoto, Rada Mihalcea (Eds.): The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA. The Association for Computer Linguistics 2011, isbn 978-1-932432-87-9

Shane Bergsma, Emily Pitler, Dekang Lin: Creating Robust Supervised Classifiers via Web-Scale N-Gram Data. ACL 2010: 865-874

Dekang Lin: Acquisition of 'Deep' Knowledge from Shallow Corpus Statistics. Canadian Conference on AI 2010: 1

Emily Pitler, Shane Bergsma, Dekang Lin, Kenneth Ward Church: Using Web-scale N-grams to Improve Base NP Parsing Performance. COLING 2010: 886-894

Dekang Lin, Kenneth Ward Church, Heng Ji, Satoshi Sekine, David Yarowsky, Shane Bergsma, Kailash Patil, Emily Pitler, Rachel Lathbury, Vikram Rao, Kapil Dalwani, Sushant Narsale: New Tools for Web-Scale N-grams. LREC 2010

Dekang Lin, Xiaoyun Wu: Phrase Clustering for Discriminative Learning. ACL/IJCNLP 2009: 1030-1038

Dekang Lin: Combining Language Modeling and Discriminative Classification for Word Segmentation. CICLing 2009: 170-182

Christopher Pinchak, Davood Rafiei, Dekang Lin: Answer typing for information retrieval. CIKM 2009: 1955-1958

Christopher Pinchak, Dekang Lin, Davood Rafiei: Flexible Answer Typing with Discriminative Preference Ranking. EACL 2009: 666-674

Shane Bergsma, Dekang Lin, Randy Goebel: Web-Scale N-gram Models for Lexical Disambiguation. IJCAI 2009: 1507-1512

Heng Ji, Dekang Lin: Gender and Animacy Knowledge Discovery from Web-Scale N-Grams for Unsupervised Person Mention Detection. PACLIC 2009: 220-229

Shane Bergsma, Dekang Lin, Randy Goebel: Distributional Identification of Non-Referential Pronouns. ACL 2008: 10-18

Qin Iris Wang, Dale Schuurmans, Dekang Lin: Semi-Supervised Convex Training for Dependency Parsing. ACL 2008: 532-540

Dekang Lin, Shaojun Zhao, Benjamin Van Durme, Marius Pasca: Mining Parenthetical Translations from the Web by Word Alignment. ACL 2008: 994-1002

Shane Bergsma, Dekang Lin, Randy Goebel: Discriminative Learning of Selectional Preference from Unlabeled Text. EMNLP 2008: 59-68

Qin Iris Wang, Dekang Lin, Dale Schuurmans: Simple Training of Dependency Parsers via Structured Boosting. IJCAI 2007: 1756-1762

Guohui Lin, Zhipeng Cai, Dekang Lin: Vertex covering by paths on trees with its applications in machine translation. Inf. Process. Lett. 97(2): 73-81 (2006)

Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, Alpa Jain: Organizing and Searching the World Wide Web of Facts - Step One: The One-Million Fact Extraction Challenge. AAAI 2006: 1400-1405

Shane Bergsma, Dekang Lin: Bootstrapping Path-Based Pronoun Resolution. ACL 2006

Colin Cherry, Dekang Lin: Soft Syntactic Constraints for Word Alignment through Discriminative Training. ACL 2006

Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, Alpa Jain: Names and Similarities on the Web: Fact Extraction in the Fast Lane. ACL 2006

Colin Cherry, Dekang Lin: A Comparison of Syntactically Motivated Word Alignment Spaces. EACL 2006

Christopher Pinchak, Dekang Lin: A Probabilistic Answer Type Model. EACL 2006

Dekang Lin: A Path-based Transfer Model for Machine Translation. COLING 2004

Shaojun Zhao, Dekang Lin: A Nearest-Neighbor Method for Resolving PP-Attachment Ambiguity. IJCNLP 2004: 545-554

Colin Cherry, Dekang Lin: A Probability Model to Improve Word Alignment. ACL 2003: 88-95

Dekang Lin, Shaojun Zhao, Lijuan Qin, Ming Zhou: Identifying Synonyms among Distributionally Similar Words. IJCAI 2003: 1492-1493

Dekang Lin, Colin Cherry: Word Alignment with Cohesion Constraint. HLT-NAACL 2003

Patrick Pantel, Dekang Lin: Automatically Discovering Word Senses. HLT-NAACL 2003

Bonnie J. Dorr, Gina-Anne Levow, Dekang Lin: Construction of a Chinese-English Verb Lexicon for Machine Translation and Embedded Multilingual Applications. Machine Translation 17(2): 99-137 (2002)

Dekang Lin, Patrick Pantel: Concept Discovery from Text. COLING 2002

Patrick Pantel, Dekang Lin: Discovering word senses from text. KDD 2002: 613-619

Patrick Pantel, Dekang Lin: Efficiently Clustering Documents with Committees. PRICAI 2002: 424-433

Patrick Pantel, Dekang Lin: Document clustering with committees. SIGIR 2002: 199-206

Dekang Lin, Patrick Pantel: Discovery of inference rules for question-answering. Natural Language Engineering 7(4): 343-360 (2001)

Patrick Pantel, Dekang Lin: A Statistical Corpus-Based Term Extractor. Canadian Conference on AI 2001: 36-46

Dekang Lin, Patrick Pantel: Induction of semantic classes from natural language text. KDD 2001: 317-322

Dekang Lin, Patrick Pantel: DIRT @SBT@discovery of inference rules from text. KDD 2001: 323-328

Dekang Lin: Word Sense Disambiguation with a Similarity-Smoothed Case Library. Computers and the Humanities 34(1-2): 147-152 (2000)

Patrick Pantel, Dekang Lin: An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words. ACL 2000

Bonnie J. Dorr, Gina-Anne Levow, Dekang Lin: Building a Chinese-English Mapping between Verb Concepts for Multilingual Applications. AMTA 2000: 1-12

Patrick Pantel, Dekang Lin: Word-for-Word Glossing with Contextually Similar Words. ANLP 2000: 78-85

Bonnie J. Dorr, Gina-Anne Levow, Dekang Lin, Scott C. Thomas: Chinese-English Semantic Resource Construction. LREC 2000

Dekang Lin: Automatic Identification of Non-compositional Phrases. ACL 1999

Douglas W. Oard, Jianqiang Wang, Dekang Lin, Ian Soboroff: TREC-8 Experiments at Maryland: CLIR, QA and Routing. TREC 1999

Dekang Lin: A dependency-based method for evaluating broad-coverage parsers. Natural Language Engineering 4(2): 97-114 (1998)

Dekang Lin: Automatic Retrieval and Clustering of Similar Words. COLING-ACL 1998: 768-774

Dekang Lin: An Information-Theoretic Definition of Similarity. ICML 1998: 296-304

Dekang Lin: Using Syntactic Dependency as Local Context to Resolve Word Sense Ambiguity. ACL 1997: 64-71

Dekang Lin: A Broad-Coverage Word Sense Tagger. ANLP 1997: 18-19

Dekang Lin: On the Structural Complexity of Natural Language Sentences. COLING 1996: 729-733

Bonnie J. Dorr, Jye-hoon Lee, Dekang Lin, Sungki Suh: Efficient Parsing for Korean and English: A Parameterized Message- Passing Approach. Computational Linguistics 21(2): 255-263 (1995)

Dekang Lin: A Dependency-based Method for Evaluating Broad-Coverage Parsers. IJCAI 1995: 1420-1427

Dekang Lin: University of Manitoba: description of the PIE system used for MUC-6. MUC 1995: 113-126

Dekang Lin: PRINCIPAR - An Efficient, Broad-coverage, Principle-based Parser. COLING 1994: 482-488

Dekang Lin: Principle-Based Parsing without Overgeneration. ACL 1993: 112-120

Dekang Lin: University of Manitoba: description of the NUBA system as used for MUC-5. MUC 1993: 263-275

Dekang Lin: A Probabilistic Network of Predicates. UAI 1992: 174-181

Dekang Lin, Randy Goebel: A Message Passing Algorithm for Plan Recognition. IJCAI 1991: 280-285

Dekang Lin: Parsing Semantic Dependencies in Associative Networks. IEA/AIE (Vol. 1) 1990: 467-471

Dekang Lin, Randy Goebel: Integrating probabilistic, taxonomic and causal knowledge in abductive diagnosis. UAI 1990: 77-88

Dekang Lin: Automatic Logical Navigation Among Relations Using Steiner Trees. ICDE 1989: 582-588