An empirical study of the behavior of active learning for word sense disambiguation

HLT-NAACL 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2006, Pages 120-127

  Chen, Jinying ^a   Schein, Andrew ^a   Ungar, Lyle ^a   Palmer, Martha ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; DATA HANDLING; INFORMATION ANALYSIS; MAXIMUM ENTROPY METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS;

ACTIVE LEARNING; ACTIVE LEARNING METHODS; ACTIVE-LEARNING PROCESS; EMPIRICAL STUDIES; LEARNING ENGLISH; LEARNING PROCESS; MAXIMUM ENTROPY MODELING; WORD SENSE DISAMBIGUATION;

LEARNING SYSTEMS;

EID: 84863352687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220835.1220851     Document Type: Conference Paper

References (14)

1. Naoki Abe and Hiroshi Mamitsuka. 1998. Query learning strategies using boosting and bagging. In Proc. of ICML1998, pages 1-10.
2. Jinying Chen and Martha Palmer. 2005. Towards Robust High Performance Word Sense Disambiguation of English Verbs Using Rich Linguistic Features, In Proc. of IJCNLP2005, Oct., Jeju, Republic of Korea.
3. Tim Chklovski and Rada Mihalcea, Building a Sense Tagged Corpus with Open Mind Word Expert, in Proceedings of the ACL 2002 Workshop on "Word Sense Disambiguation: Recent Successes and Future Directions", Philadelphia, July 2002.
4. Hoa T. Dang. 2004. Investigations into the role of lexical semantics in word sense disambiguation. PhD Thesis. University of Pennsylvania.
5. Atsushi Fujii, Takenobu Tokunaga, Kentaro Inui, Hozumi Tanaka. 1998. Selective sampling for example-based word sense disambiguation, Computational Linguistics, v.24 n.4, p.573-597, Dec. (Pubitemid 128455525)
6. Eduard Hovy, Mitchell Marcus, Martha Palmer, Lance Ramshaw and Ralph Weischedel. OntoNotes: The 90% Solution. Accepted by HLT-NAACL06. Short paper.
7. David D. Lewis and William A. Gale. 1994. A sequential algorithm for training text classifiers. In W. Bruce Croft and Cornelis J. van Rijsbergen, editors, Proceedings of SIGIR-94, Dublin, IE.
8. Andrew K. McCallum. 2002. MALLET: A Machine Learning for Language Toolkit. http://www.cs.umass.edu/~mccallum/mallet.
9. Andew McCallum and Kamal Nigam. 1998. Employing EM in pool-based active learning for text classification. In Proc. of ICML '98.
10. Martha Palmer, Hoa Trang Dang and Christiane Fellbaum. (to appear, 2006). Making fine-grained and coarse-grained sense distinctions, both manually and automatically. Natural Language Engineering.
11. Andrew I. Schein. 2005. Active Learning for Logistic Regression. Ph.D. Thesis. Univ. of Pennsylvania.
12. Dan Shen, Jie Zhang, Jian Su, Guodong Zhou and Chew Lim Tan. 2004 Multi-criteria-based active learning for named entity recognition, In Proc. of ACL04, Barcelona, Spain.
13. Min Tang, Xiaoqiang Luo, and Salim Roukos. 2002. Active learning for statistical natural language parsing. In Proc. of ACL 2002.
14. Cynthia A. Thompson, Mary Elaine Califf, and Raymond J. Mooney. 1999. Active learning for natural language parsing and information extraction. In Proc. of ICML-99.