Abstract
This paper proposes a method to overcome the drawbacks of WordNet when applied to information retrieval by complementing it with Roget's thesaurus and corpus-derived thesauri. Words and relations which are not included in WordNet can be found in the corpus-derived thesauri. Effects of polysemy can be minimized with weighting method considering all query terms and all of the thesauri. Experimental results show that our method enhances information retrieval performance significantly.
Cite
CITATION STYLE
Mandala, R., Tokunaga, T., & Tanaka, H. (1999). Complementing WordNet with Roget’s and corpus-based thesauri for information retrieval. In 9th Conference of the European Chapter of the Association for Computational Linguistics, EACL 1999 (pp. 94–101). Association for Computational Linguistics (ACL). https://doi.org/10.3115/977035.977049
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