Abstract
The prospective readers of this paper belong the community of researchers and practitioners working in the area of natural language processing but do not necessarily specialize in the word sense disambiguation (WSD). It starts with a brief introduction into WSD and gives an overview of the classical approaches to the problem. The aim of the paper is to evaluate the accuracy of several already known algorithms for calculating synset similarity. These are later used to select word senses by a proposed algorithm. It uses the weighing of synset similarities. The validity of the whole process was verified using a large corpus of linguistic data that was tagged by a professional linguist. The senses were represented by the WordNet 2.1 synsets. The experiments clearly indicate that the weighing does increase the precision disambiguation process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mallerey, J., C.: Thinking about foreign policy: finding an appropriate role for artificial intelligence computers, Ph.D. dissertation, MIT Cambridge, MA (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. Human. 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.: Proceeding ACL 1994 Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics, 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. arXiv:cmp-lg/9709008 (1997
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)
Taylor A.: The Penn treebank: an overview. https://pdfs.semanticscholar.org/182c/4a4074e8577c7ba5cbbc52249e41270c8d64.pdf. Accessed 10 Mar 2018
https://github.com/greenmoon55/textclustering/tree/master/lib/edu/sussex/nlp/jws. Accessed 10 Mar 2018
Siemiński A.: Practice of word sense disambiguation. In: Intelligent Information and Database Systems: 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19–21, 2018, pp. 159–169 (2018)
http://maraca.d.umn.edu/allwords/allwords.html. Accessed 10 Mar 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kukla, E., Siemiński, A. (2019). Verifying Usefulness of Algorithms for WordNet Based Similarity Sense Disambiguation. In: Choroś, K., Kopel, M., Kukla, E., Siemiński, A. (eds) Multimedia and Network Information Systems. MISSI 2018. Advances in Intelligent Systems and Computing, vol 833. Springer, Cham. https://doi.org/10.1007/978-3-319-98678-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-98678-4_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-98677-7
Online ISBN: 978-3-319-98678-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)