Dekang Lin

	2009
46		Dekang Lin: Combining Language Modeling and Discriminative Classification for Word Segmentation. CICLing 2009: 170-182
45		Christopher Pinchak, Dekang Lin, Davood Rafiei: Flexible Answer Typing with Discriminative Preference Ranking. EACL 2009: 666-674
44		Shane Bergsma, Dekang Lin, Randy Goebel: Web-Scale N-gram Models for Lexical Disambiguation. IJCAI 2009: 1507-1512
	2008
43		Shane Bergsma, Dekang Lin, Randy Goebel: Discriminative Learning of Selectional Preference from Unlabeled Text. EMNLP 2008: 59-68
	2007
42		Qin Iris Wang, Dekang Lin, Dale Schuurmans: Simple Training of Dependency Parsers via Structured Boosting. IJCAI 2007: 1756-1762
	2006
41		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
40		Shane Bergsma, Dekang Lin: Bootstrapping Path-Based Pronoun Resolution. ACL 2006
39		Marius Pasca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, Alpa Jain: Names and Similarities on the Web: Fact Extraction in the Fast Lane. ACL 2006
38		Colin Cherry, Dekang Lin: Soft Syntactic Constraints for Word Alignment through Discriminative Training. ACL 2006
37		Colin Cherry, Dekang Lin: A Comparison of Syntactically Motivated Word Alignment Spaces. EACL 2006
36		Christopher Pinchak, Dekang Lin: A Probabilistic Answer Type Model. EACL 2006
35		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)
	2004
34		Shaojun Zhao, Dekang Lin: A Nearest-Neighbor Method for Resolving PP-Attachment Ambiguity. IJCNLP 2004: 545-554
	2003
33		Colin Cherry, Dekang Lin: A Probability Model to Improve Word Alignment. ACL 2003: 88-95
32		Patrick Pantel, Dekang Lin: Automatically Discovering Word Senses. HLT-NAACL 2003
31		Dekang Lin, Colin Cherry: Word Alignment with Cohesion Constraint. HLT-NAACL 2003
30		Dekang Lin, Shaojun Zhao, Lijuan Qin, Ming Zhou: Identifying Synonyms among Distributionally Similar Words. IJCAI 2003: 1492-1493
	2002
29		Dekang Lin, Patrick Pantel: Concept Discovery from Text. COLING 2002
28		Patrick Pantel, Dekang Lin: Discovering word senses from text. KDD 2002: 613-619
27		Patrick Pantel, Dekang Lin: Efficiently Clustering Documents with Committees. PRICAI 2002: 424-433
26		Patrick Pantel, Dekang Lin: Document clustering with committees. SIGIR 2002: 199-206
25		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)
	2001
24		Patrick Pantel, Dekang Lin: A Statistical Corpus-Based Term Extractor. Canadian Conference on AI 2001: 36-46
23		Dekang Lin, Patrick Pantel: Induction of semantic classes from natural language text. KDD 2001: 317-322
22		Dekang Lin, Patrick Pantel: DIRT @SBT@discovery of inference rules from text. KDD 2001: 323-328
	2000
21		Patrick Pantel, Dekang Lin: An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words. ACL 2000
20		Bonnie J. Dorr, Gina-Anne Levow, Dekang Lin: Building a Chinese-English Mapping between Verb Concepts for Multilingual Applications. AMTA 2000: 1-12
19		Patrick Pantel, Dekang Lin: Word-for-Word Glossing with Contextually Similar Words. ANLP 2000: 78-85
	1999
18		Dekang Lin: Automatic Identification of Non-compositional Phrases. ACL 1999
17		Douglas W. Oard, Jianqiang Wang, Dekang Lin, Ian Soboroff: TREC-8 Experiments at Maryland: CLIR, QA and Routing. TREC 1999
	1998
16		Dekang Lin: Automatic Retrieval and Clustering of Similar Words. COLING-ACL 1998: 768-774
15		Dekang Lin: An Information-Theoretic Definition of Similarity. ICML 1998: 296-304
	1997
14		Dekang Lin: Using Syntactic Dependency as Local Context to Resolve Word Sense Ambiguity. ACL 1997: 64-71
13		Dekang Lin: A Broad-Coverage Word Sense Tagger. ANLP 1997: 18-19
	1996
12		Dekang Lin: On the Structural Complexity of Natural Language Sentences. COLING 1996: 729-733
	1995
11		Dekang Lin: A Dependency-based Method for Evaluating Broad-Coverage Parsers. IJCAI 1995: 1420-1427
10		Dekang Lin: University of Manitoba: description of the PIE system used for MUC-6. MUC 1995: 113-126
9		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)
	1994
8		Dekang Lin: PRINCIPAR - An Efficient, Broad-coverage, Principle-based Parser. COLING 1994: 482-488
	1993
7		Dekang Lin: Principle-Based Parsing without Overgeneration. ACL 1993: 112-120
6		Dekang Lin: University of Manitoba: description of the NUBA system as used for MUC-5. MUC 1993: 263-275
	1992
5		Dekang Lin: A Probabilistic Network of Predicates. UAI 1992: 174-181
	1991
4		Dekang Lin, Randy Goebel: A Message Passing Algorithm for Plan Recognition. IJCAI 1991: 280-285
	1990
3		Dekang Lin: Parsing Semantic Dependencies in Associative Networks. IEA/AIE (Vol. 1) 1990: 467-471
2		Dekang Lin, Randy Goebel: Integrating probabilistic, taxonomic and causal knowledge in abductive diagnosis. UAI 1990: 77-88
	1989
1		Dekang Lin: Automatic Logical Navigation Among Relations Using Steiner Trees. ICDE 1989: 582-588

Coauthor Index

1	Shane Bergsma	[40] [43] [44]
2	Jeffrey Bigham	[39] [41]
3	Zhipeng Cai	[35]
4	Colin Cherry	[31] [33] [37] [38]
5	Bonnie J. Dorr	[9] [20] [25]
6	Randy Goebel	[2] [4] [43] [44]
7	Alpa Jain	[39] [41]
8	Jye-hoon Lee	[9]
9	Gina-Anne Levow	[20] [25]
10	Andrei Lifchits	[39] [41]
11	Guohui Lin (Guo-Hui Lin)	[35]
12	Douglas W. Oard	[17]
13	Patrick Pantel	[19] [21] [22] [23] [24] [26] [27] [28] [29] [32]
14	Marius Pasca	[39] [41]
15	Christopher Pinchak	[36] [45]
16	Lijuan Qin	[30]
17	Davood Rafiei	[45]
18	Dale Schuurmans	[42]
19	Ian Soboroff	[17]
20	Sungki Suh	[9]
21	Jianqiang Wang	[17]
22	Qin Iris Wang	[42]
23	Shaojun Zhao	[30] [34]
24	Ming Zhou	[30]

Colors in the list of coauthors