2009 |
45 | EE | Dekang Lin:
Combining Language Modeling and Discriminative Classification for Word Segmentation.
CICLing 2009: 170-182 |
44 | EE | Christopher Pinchak,
Dekang Lin,
Davood Rafiei:
Flexible Answer Typing with Discriminative Preference Ranking.
EACL 2009: 666-674 |
2008 |
43 | EE | Shane Bergsma,
Dekang Lin,
Randy Goebel:
Discriminative Learning of Selectional Preference from Unlabeled Text.
EMNLP 2008: 59-68 |
2007 |
42 | EE | 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 | EE | Shane Bergsma,
Dekang Lin:
Bootstrapping Path-Based Pronoun Resolution.
ACL 2006 |
39 | EE | 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 | EE | Colin Cherry,
Dekang Lin:
Soft Syntactic Constraints for Word Alignment through Discriminative Training.
ACL 2006 |
37 | EE | Colin Cherry,
Dekang Lin:
A Comparison of Syntactically Motivated Word Alignment Spaces.
EACL 2006 |
36 | EE | Christopher Pinchak,
Dekang Lin:
A Probabilistic Answer Type Model.
EACL 2006 |
35 | EE | 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 | EE | Shaojun Zhao,
Dekang Lin:
A Nearest-Neighbor Method for Resolving PP-Attachment Ambiguity.
IJCNLP 2004: 545-554 |
2003 |
33 | EE | Colin Cherry,
Dekang Lin:
A Probability Model to Improve Word Alignment.
ACL 2003: 88-95 |
32 | EE | Patrick Pantel,
Dekang Lin:
Automatically Discovering Word Senses.
HLT-NAACL 2003 |
31 | EE | 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 | EE | Dekang Lin,
Patrick Pantel:
Concept Discovery from Text.
COLING 2002 |
28 | EE | Patrick Pantel,
Dekang Lin:
Discovering word senses from text.
KDD 2002: 613-619 |
27 | EE | Patrick Pantel,
Dekang Lin:
Efficiently Clustering Documents with Committees.
PRICAI 2002: 424-433 |
26 | EE | Patrick Pantel,
Dekang Lin:
Document clustering with committees.
SIGIR 2002: 199-206 |
25 | EE | 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 | EE | Patrick Pantel,
Dekang Lin:
A Statistical Corpus-Based Term Extractor.
Canadian Conference on AI 2001: 36-46 |
23 | EE | Dekang Lin,
Patrick Pantel:
Induction of semantic classes from natural language text.
KDD 2001: 317-322 |
22 | EE | Dekang Lin,
Patrick Pantel:
DIRT @SBT@discovery of inference rules from text.
KDD 2001: 323-328 |
2000 |
21 | EE | Patrick Pantel,
Dekang Lin:
An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words.
ACL 2000 |
20 | EE | Bonnie J. Dorr,
Gina-Anne Levow,
Dekang Lin:
Building a Chinese-English Mapping between Verb Concepts for Multilingual Applications.
AMTA 2000: 1-12 |
19 | EE | Patrick Pantel,
Dekang Lin:
Word-for-Word Glossing with Contextually Similar Words.
ANLP 2000: 78-85 |
1999 |
18 | EE | Dekang Lin:
Automatic Identification of Non-compositional Phrases.
ACL 1999 |
17 | EE | 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 | EE | Dekang Lin:
A Broad-Coverage Word Sense Tagger.
ANLP 1997: 18-19 |
1996 |
12 | EE | 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 | EE | 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 | EE | 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 | EE | Dekang Lin:
University of Manitoba: description of the NUBA system as used for MUC-5.
MUC 1993: 263-275 |
1992 |
5 | EE | 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 | EE | Dekang Lin:
Parsing Semantic Dependencies in Associative Networks.
IEA/AIE (Vol. 1) 1990: 467-471 |
2 | EE | Dekang Lin,
Randy Goebel:
Integrating probabilistic, taxonomic and causal knowledge in abductive diagnosis.
UAI 1990: 77-88 |
1989 |
1 | EE | Dekang Lin:
Automatic Logical Navigation Among Relations Using Steiner Trees.
ICDE 1989: 582-588 |