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Issue No.04 - July-Aug. (2012 vol.27)
pp: 46-55
Ping Chen , University of Houston-Downtown
Chris Bowes , University of Houston-Downtown
Wei Ding , University of Massachusetts, Boston
Max Choly , University of Massachusetts, Boston
This article describes an automatic word sense disambiguation method—determining which word sense fits in a given context—that makes the process feasible in practice.
Knowledge based systems, Context awareness, Natural language processing, Knowledge acquisition, Semantics, Dictionaries, word sense disambiguation, natural-language processing, knowledge acquisition
Ping Chen, Chris Bowes, Wei Ding, Max Choly, "Word Sense Disambiguation with Automatically Acquired Knowledge", IEEE Intelligent Systems, vol.27, no. 4, pp. 46-55, July-Aug. 2012, doi:10.1109/MIS.2010.134
1. R. Navigli, “Word Sense Disambiguation: A Survey,” ACM Computing Surveys, vol. 41, no. 2, 2009, pp. 1–69.
2. D. Yarowsky, “Unsupervised Word Sense Disambiguation Rivaling Supervised Methods,” Proc. 33rd Ann. Meeting of Assoc. for Computational Linguistics, Assoc. for Computational Linguistics, 1995, pp. 189–196.
3. E. Agirre and P. Edmonds eds., , Word Sense Disambiguation: Algorithms and Applications, Springer, 2006.
4. M. McShane,“Reference Resolution Challenges for Intelligent Agents: The Need for Knowledge,” IEEE Intelligent Systems, vol. 24, no. 4, 2009, pp. 47–58.
5. P. Chen et al., “A Fully Unsupervised Word Sense Disambiguation Method and Its Evaluation on Coarse-Grained All-Words Task,” Proc. North Am. Chapter of the Assoc. for Computational Linguistics—Human Language Technologies (NAACL HLT 09), Assoc. for Computational Linguistics, 2009, pp. 28–36.
6. S.V. Deal and R.R. Hoffman, “The Practitioner's Cycles, Part 1: Actual World Problems,” IEEE Intelligent Systems, vol. 25, no. 2, 2010, pp. 4–9.
7. S. Bergsma, D. Lin, and R. Goebel, “Web-Scale N-Gram Models for Lexical Disambiguation,” Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI 09), AAAI Press, 2009, pp. 1507–1512.
8. D. Lin, “Dependency-Based Evaluation of Minipar,” Proc. LREC Workshop Evaluation of Parsing Systems, European Language Resources Assoc., 1998, pp. 234–241.
9. P.J. Bickel and K.A. Doksum, Mathematical Statistics: Basic Ideas and Selected Topics, 2nd ed., Prentice-Hall, 2001.
10. M. Lesk, “Automatic Sense Disambiguation Using Machine Readable Dictionaries: How to Tell a Pine Cone from an Ice Cream Cone,” Proc. 5th Ann. Int'l Conf. Systems Documentation (SIGDOC 86), ACM Press, 1986, pp. 24–26.
11. P. Edmonds and S. Cotton, “Senseval-2: Overview,” Proc. Senseval-2: 2nd Int'l Workshop Evaluating Word Sense Disambiguation Systems, Assoc. for Computational Linguistics, 2001, pp. 1–6.
12. R. Navigli, K.C. Litkowski, and O. Hargraves, “SemEval 2007 Task 07: Coarse-Grained English All-Words Task,” Proc. 4th Int'l Workshop Semantic Evaluations (SemEval 07), Assoc. for Computational Linguistics, 2007, pp. 30–35.
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