Abstract
This paper presents an intelligent method for corpus-based word sense disambiguation (WSD), which utilizes the integrated noun and verb semantic networks through the selectional restriction relations in sentences. Experiments show that the presented intelligent method performs the verb translation better than the concept-based method and the statistics-based method. Integration of noun semantic networks into verb semantic networks will play an important role in both computational linguistic applications and psycholinguistic models of language processing.
This work was supported by Hankuk University of Foreign Studies Research Fund of 2003.
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Mihalcea, R.F., Modovan, D.I.: A Highly Accurate Bootstrapping Algorithm for Word Sense Disambiguation. International Journal on Artificial Intelligence Tools 10(1), 5–21 (2001)
Agirre, E., Atserias, J., Padr, L., Rigau, G.: Combining Supervised and Unsupervised Lexcal Knowledge Methods for Word Sense Disambiguation. Computers and the Humanities, Special Double Issue on SensEval. eds.34:1, 2. (2000)
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Moon, YJ., Min, K., Hwang, Y., Kim, P. (2003). Integration of Semantic Networks for Corpus-Based Word Sense Disambiguation. In: Palamidessi, C. (eds) Logic Programming. ICLP 2003. Lecture Notes in Computer Science, vol 2916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24599-5_38
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DOI: https://doi.org/10.1007/978-3-540-24599-5_38
Publisher Name: Springer, Berlin, Heidelberg
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