Dekang Lin

Publications

• “Answer typing for information retrieval”, Christopher Pinchak, Davood Rafiei, Dekang Lin, Proceeding of the 18th ACM conference on Information and knowledge management (CIKM), 2009, pp. 1955-1958.
  [abstract] [doi.acm.org] [search]

• “Combining Language Modeling and Discriminative Classification for Word Segmentation”, Dekang Lin, CICLing '09: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing, 2009, pp. 170-182.
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• “Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender”, Shane Bergsma, Dekang Lin, Randy Goebel, CoNLL, 2009.
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• “Phrase Clustering for Discriminative Learning”, Dekang Lin, Xiaoyun Wu, Proceedings of ACL/IJCNLP, 2009, pp. 1030-1038.
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• “Web-Scale N-gram Models for Lexical Disambiguation”, Shane Bergsma, Dekang Lin, Randy Goebel, Proceedings of IJCAI, 2009, pp. 1507-1512.
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• “Discriminative learning of selectional preference from unlabeled text”, Shane Bergsma, Dekang Lin, Randy Goebel, EMNLP '08: Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2008, pp. 59-68.
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• “Distributional Identification of Non-Referential Pronouns”, Shane Bergsma, Dekang Lin, Randy Goebel, Proceedings of ACL-08: HLT, 2008, pp. 10-18.
  [aclweb.org] [search]

• “Mining Parenthetical Translations from the Web by Word Alignment”, Dekang Lin, Shaojun Zhao, Benjamin Van Durme, Marius Pasca, Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-2008), pp. 994-1002.
  [aclweb.org] [search]

• “Inversion transduction grammar for joint phrasal translation modeling”, Colin Cherry, Dekang Lin, SSST '07: Proceedings of the NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation, pp. 17-24.
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• “Simple training of dependency parsers via structured boosting”, Qin Iris Wang, Dekang Lin, Dale Schuurmans, IJCAI'07: Proceedings of the 20th international joint conference on Artifical intelligence, 2007, pp. 1756-1762.
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• “Bootstrapping Path-Based Pronoun Resolution”, Shane Bergsma, Dekang Lin, Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, 2006, pp. 33-40.
  [doi.acm.org] [search]

• “Names and Similarities on the Web: Fact Extraction in the Fast Lane”, Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, Alpa Jain, Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL-06), 2006, pp. 809-816.
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• “Organizing and Searching the World Wide Web of Facts - Step One: the One-Million Fact Extraction Challenge”, Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, Alpa Jain, Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06), 2006, pp. 1400-1405.
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• “Soft Syntactic Constraints for Word Alignment through Discriminative Training”, Colin Cherry, Dekang Lin, Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pp. 105-112.
  [aclweb.org] [search]

• “Strictly lexical dependency parsing”, Qin Iris Wang, Dale Schuurmans, Dekang Lin, Parsing '05: Proceedings of the Ninth International Workshop on Parsing Technology, 2005, pp. 152-159.
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• “A path-based transfer model for machine translation”, Dekang Lin, COLING '04: Proceedings of the 20th international conference on Computational Linguistics, 2004, pp. 625.
  [doi] [search]

Prior Publications

• “Flexible answer typing with discriminative preference ranking”, Christopher Pinchak, Dekang Lin, Davood Rafiei, EACL '09: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, 2009, pp. 666-674.
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• “Vertex covering by paths on trees with its applications in machine translation”, Guohui Lin, Zhipeng Cai, Dekang Lin, Inf. Process. Lett., vol. 97 (2006), pp. 73-81.
  [doi] [search]

• “A Nearest-Neighbor Method for Resolving PP-Attachment Ambiguity”, Shaojun Zhao, Dekang Lin, IJCNLP, 2004, pp. 545-554.
  [springerlink.metapress.com] [search]

• “A Probability Model to Improve Word Alignment”, Colin Cherry, Dekang Lin, ACL, 2003, pp. 88-95.
  [acl.ldc.upenn.edu] [search]

• “Automatically Discovering Word Senses”, Patrick Pantel, Dekang Lin, HLT-NAACL, 2003.
  [acl.ldc.upenn.edu] [search]

• “Identifying Synonyms among Distributionally Similar Words”, Dekang Lin, Shaojun Zhao, Lijuan Qin, Ming Zhou, IJCAI, 2003, pp. 1492-1493.
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• “ProAlign: shared task system description”, Dekang Lin, Colin Cherry, Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts, pp. 11-14.
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• “Word Alignment with Cohesion Constraint”, Dekang Lin, Colin Cherry, HLT-NAACL, 2003.
  [acl.ldc.upenn.edu] [search]

• “Concept Discovery from Text”, Dekang Lin, Patrick Pantel, COLING, 2002.
  [acl.ldc.upenn.edu] [search]

• “Concept discovery from text”, Dekang Lin, Patrick Pantel, Proceedings of the 19th international conference on Computational linguistics, 2002, pp. 1-7.
  [doi] [search]

• “Construction of a Chinese-English Verb Lexicon for Machine Translation and Embedded Multilingual Applications”, Bonnie Jean Dorr, Gina-Anne Levow, Dekang Lin, Machine Translation, vol. 17 (2002), pp. 99-137.
  [doi] [search]

• “Discovering word senses from text”, Patrick Pantel, Dekang Lin, KDD, 2002, pp. 613-619.
  [doi.acm.org] [search]

• “Document clustering with committees”, Patrick Pantel, Dekang Lin, SIGIR, 2002, pp. 199-206.
  [doi.acm.org] [search]

• “A Statistical Corpus-Based Term Extractor”, Patrick Pantel, Dekang Lin, AI '01: Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence, 2001, pp. 36-46.
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• “DIRT -- discovery of inference rules from text”, Dekang Lin, Patrick Pantel, KDD, 2001, pp. 323-328.
  [portal.acm.org] [search]

• “DIRT @SBT@discovery of inference rules from text”, Dekang Lin, Patrick Pantel, KDD '01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001, pp. 323-328.
  [doi.acm.org] [search]

• “Discovery of inference rules for question-answering”, Dekang Lin, Patrick Pantel, Nat. Lang. Eng., vol. 7 (2001), pp. 343-360.
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• “LaTaT: language and text analysis tools”, Dekang Lin, HLT '01: Proceedings of the first international conference on Human language technology research, 2001, pp. 1-6.
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• “An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words”, Patrick Pantel, Dekang Lin, ACL, 2000.
  [aclweb.org] [search]

• “Building a Chinese-English Mapping between Verb Concepts for Multilingual Applications”, Bonnie J. Dorr, Gina-Anne Levow, Dekang Lin, AMTA, 2000, pp. 1-12.
  [link.springer.de] [search]

• “Word-for-word glossing with contextually similar words”, Patrick Pantel, Dekang Lin, Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference, 2000, pp. 78-85.
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• “Automatic Identification of Non-compositional Phrases”, Dekang Lin, ACL, 1999.
  [aclweb.org] [search]

• “Automatic identification of non-compositional phrases”, Dekang Lin, Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics, 1999, pp. 317-324.
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• “A dependency-based method for evaluating broad-coverage parsers”, Dekang Lin, Nat. Lang. Eng., vol. 4 (1998), pp. 97-114.
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• “An Information-Theoretic Definition of Similarity”, Dekang Lin, ICML, 1998, pp. 296-304.
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• “Automatic Retrieval and Clustering of Similar Words”, Dekang Lin, COLING-ACL, 1998, pp. 768-774.
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• “Automatic retrieval and clustering of similar words”, Dekang Lin, Proceedings of the 17th international conference on Computational linguistics, 1998, pp. 768-774.
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• “A broad-coverage word sense tagger”, Dekang Lin, Proceedings of the fifth conference on Applied natural language processing, 1997, pp. 18-19.
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• “Using Syntactic Dependency as Local Context to Resolve Word Sense Ambiguity”, Dekang Lin, ACL, 1997, pp. 64-71.
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• “Using syntactic dependency as local context to resolve word sense ambiguity”, Dekang Lin, ACL-35: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, 1997, pp. 64-71.
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• “On the structural complexity of natural language sentences”, Dekang Lin, Proceedings of the 16th conference on Computational linguistics, 1996, pp. 729-733.
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• “A dependency-based method for evaluating broad-coverage parsers”, Dekang Lin, IJCAI'95: Proceedings of the 14th international joint conference on Artificial intelligence, 1995, pp. 1420-1425.
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• “Efficient parsing for Korean and English: a parameterized message-passing approach”, Bonnie J. Dorr, Jye-hoon Lee, Dekang Lin, Sungki Suh, Comput. Linguist., vol. 21 (1995), pp. 255-263.
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• “University of Manitoba: description of the PIE system used for MUC-6”, Dekang Lin, MUC6 '95: Proceedings of the 6th conference on Message understanding, 1995, pp. 113-126.
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• “PRINCIPAR - An Efficient, Broad-coverage, Principle-based Parser”, Dekang Lin, COLING, 1994, pp. 482-488.
  [acl.ldc.upenn.edu] [search]

• “PRINCIPAR: an efficient, broad-coverage, principle-based parser”, Dekang Lin, Proceedings of the 15th conference on Computational linguistics, 1994, pp. 482-488.
  [doi] [search]

• “Obvious abduction”, Dekang Lin, ICYCS'93: Proceedings of the third international conference on Young computer scientists, 1993, pp. 2134-2137.
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• “Principle-Based Parsing without Overgeneration”, Dekang Lin, ACL, 1993, pp. 112-120.
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• “Principle-based parsing without overgeneration”, Dekang Lin, Proceedings of the 31st annual meeting on Association for Computational Linguistics, 1993, pp. 112-120.
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• “University of Manitoba: description of the NUBA system as used for MUC-5”, Dekang Lin, MUC5 '93: Proceedings of the 5th conference on Message understanding, 1993, pp. 263-275.
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• “A probabilistic network of predicates”, Dekang Lin, Proceedings of the eighth conference on Uncertainty in Artificial Intelligence, 1992, pp. 174-181.
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• “A message passing algorithm for plan recognition”, Dekang Lin, Randy Goebel, IJCAI'91: Proceedings of the 12th international joint conference on Artificial intelligence, 1991, pp. 280-285.
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• “Integrating probabilistic, taxonomic and causal knowledge in abductive diagnosis”, Dekang Lin, Randy Goebel, UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, 1991, pp. 77-88.
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• “The probability of causal explanation”, Dekang Lin, Randy Goebel, Proceedings of the eighth biennial conference of the Canadian Society for Computational Studies of Intelligence on CSCSI-90, 1990, pp. 15-20.
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• “Automatic Logical Navigation Among Relations Using Steiner Trees”, Dekang Lin, Proceedings of the Fifth International Conference on Data Engineering, 1989, pp. 582-588.
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