Resolving the Ambiguities in Word Sense by using Automatic Keyword Network in Information Retrieval


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 7, No. 12, pp. 3855-3865, Dec. 2000
10.3745/KIPSTE.2000.7.12.3855,   PDF Download:

Abstract

The automatic indexing is a compulsory part for the text retrieval system. However it is impossible to rank the appropriate texts at top. Furthermore, it is more difficult to prevent to rank the inappropriate texts having homonyms at top by only the automatic indexing. In this paper, we proposed the two-level retrieval system to enhance the retrieval efficiency, in which Automatic Keyword Network (AKN) is used at the second-level process. The first-level search is carried out with an inverted index file generated by the automatic indexing. On the other hand the second-level search exploits AKN based on the degree of association between terms. We have developed several formulas for rearranging the rank of texts at second-level search, and evaluated the performance of the effects of them on resolving the word sense ambiguities.


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Cite this article
[IEEE Style]
D. S. Jang and J. S. Kim, "Resolving the Ambiguities in Word Sense by using Automatic Keyword Network in Information Retrieval," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 12, pp. 3855-3865, 2000. DOI: 10.3745/KIPSTE.2000.7.12.3855.

[ACM Style]
Duk Sung Jang and Jung Sae Kim. 2000. Resolving the Ambiguities in Word Sense by using Automatic Keyword Network in Information Retrieval. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 12, (2000), 3855-3865. DOI: 10.3745/KIPSTE.2000.7.12.3855.