Abstract
This paper explores a fully automatic knowledge-based method which performs the noun sense disambiguation relying only on the WordNet ontology. The basis of the method is the idea of conceptual density, that is, the correlation between the sense of a given word and its context. A new formula for calculating the conceptual density was proposed and was evaluated on the SemCor corpus.
This work was supported by the Spanish Research Projects CICYT TIC2000-0664-C02 and TIC2000-1599-C01-01, and the VIDI of the Univ. Politécnica Valencia.
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Rosso, P., Masulli, F., Buscaldi, D., Pla, F., Molina, A. (2003). Automatic Noun Sense Disambiguation. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2003. Lecture Notes in Computer Science, vol 2588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36456-0_27
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DOI: https://doi.org/10.1007/3-540-36456-0_27
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