WordNet Sebagai Basis Pengetahuan Untuk Mengatasi Polisemi Kata-Kata

Authors

  • Sherly Christina Universitas Palangka Raya

DOI:

https://doi.org/10.47111/jti.v8i1.1461

Keywords:

polysemy, wordnet, semantic

Abstract

Information system that accepts data in the form of natural languages often get problems
such as polysemy in words. Polysemy affects performance of the system to provide accurate
information. Therefore, it’s needed a knowledge base that can be used to differentiate the meaning
of words and find the relationship between words.
WordNet is a lexical database that is suggested by several studies to address the polysemy in
words. WordNet contains the set of meanings of words and organized in semantic relations. This
paper will study some researches that use Wordnet as a knowledge base to solve some ambiguity in
polysemy.

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References

Dao, T. N. & Simpson, T. (2006), “Measuring Similarity Between Sentences”

Miller, G. (1995), WordNet: A Lexical Database for English, Communication of The ACM, volume 38

Richardson R., Smeaton A. F., Murphy J., (1994), Using WordNet as a Knowledge Base for Measuring Semantic Similarity Between Words, Dublin City University, Ireland

Rodd J. M., Gaskel M. G., Wilson W. D. M., (2004), Modelling The Effects of Semantic Ambiguity in Word Recognition, Cognitive

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Published

2014-01-31