Abstract
The paper aims at the community of researchers and practitioners that work in the area of natural language processing but do not specialize in the word sense disambiguation (WSD). It contains a brief introduction into WSD and describes the classical approaches to solve the problem. The experimental part reports results of disambiguation that were achieved using a set of methods which are available on a widely acclaimed web site. The data used in the test have been tagged by a professional linguist. The senses were represented by the WordNet 3.1 synsets. The conducted experiment studies the basic and ensemble methods and the effects of sense unification.
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References
Mallerey, J.C.: Thinking about foreign policy: finding an appropriate role for artificial intelligence computers. Ph.D. dissertation, MIT, Cambridge (1988)
Navigli, R.: Word sense disambiguation: a survey. ACM Comput. Surv. (CSUR) 41(2), 1–69 (2009). https://doi.org/10.1145/1459352.1459355
Yarowsky, D.: Hierarchical decision lists for word sense disambiguation. Comput. Hum. 34(1–2), 179–186 (2000)
Miller, G.A., Leacock, C., Tengi, R., Bunker, R.T.: A semantic concordance. In: Proceedings of the ARPA Workshop on Human Language Technology, pp. 303–308 (1993)
Roget, P.M.: Roget’s International Thesaurus, 1st edn. Cromwell, New York (1911)
Soanes, C., Stevenson, A. (eds.): Oxford Dictionary of English. Oxford University Press, Oxford (2003)
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. In: Proceedings of the International Workshop on Formal Ontology, Padova, Italy (1993). https://doi.org/10.1006/ijhc.1995.1081
Fellbaum, C. (ed.): WordNet: An Electronic Database. MIT Press, Cambridge (1998)
Finlayson, M.A.: Java libraries for accessing the princeton wordnet: comparison and evaluation. In: Proceedings of the 7th International Global WordNet Conference (GWC 2014), Tartu, Estonia, pp. 78–85 (2014)
Wu, Z., Palmer, M.: Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics, ACL 1994, pp. 133–138 (1994)
Jiang, J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings of the 10th International Conference on Research in Computational Linguistics (1997). arXiv:cmp-lg/9709008
Lesk, M.: Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone. In: Proceedings of the 5th SIGDOC, New York, NY, pp. 24–26 (1986)
Banerjee, S., Pedersen, T.: Extended gloss overlaps as a measure of semantic relatedness. In: Proceedings of the 18th International Joint Conference on Artificial Intelligence IJCAI, Acapulco, Mexico, pp. 805–810 (2003)
Siemiński, A.: WordNet based word sense disambiguation. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds.) ICCCI 2011. LNCS (LNAI), vol. 6923, pp. 405–414. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23938-0_41
www.hipposmond.com/senseval2/. Accessed 15 Oct 2017
http://maraca.d.umn.edu/allwords/allwords.html. Accessed 15 Oct 2017
Fokkens, A., van Erp, M., Postma, M., Pedersen, T., Vossen, P., Freire, N.: Offspring from reproduction problems: what replication failure teaches us. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp. 1691–1701. Association for Computational Linguistics, Sofia (2013)
Diab, M., Resnik, P.: An unsupervised method for word sense tagging using parallel corpora. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, pp. 255–262 (2002)
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Siemiński, A. (2018). Practice of Word Sense Disambiguation. In: Nguyen, N., Hoang, D., Hong, TP., Pham, H., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science(), vol 10751. Springer, Cham. https://doi.org/10.1007/978-3-319-75417-8_15
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DOI: https://doi.org/10.1007/978-3-319-75417-8_15
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