Korean Base-Noun Extraction and its Application 


Vol. 15,  No. 6, pp. 613-620, Dec.  2008
10.3745/KIPSTB.2008.15.6.613


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  Abstract

Noun extraction plays an important part in the fields of information retrieval, text summarization, and so on. In this paper, we present a Korean base-noun extraction system and apply it to text summarization to deal with a huge amount of text effectively. The base-noun is an atomic noun but not a compound noun and we use tow techniques, filtering and segmenting. The filtering technique is used for removing non-nominal words from text before extracting base-nouns and the segmenting technique is employed for separating a particle from a nominal and for dividing a compound noun into base-nouns. We have shown that both of the recall and the precision of the proposed system are about 89% on the average under experimental conditions of ETRI corpus. The proposed system has applied to Korean text summarization system and is shown satisfactory results.

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[IEEE Style]

J. H. Kim, "Korean Base-Noun Extraction and its Application," The KIPS Transactions:PartB , vol. 15, no. 6, pp. 613-620, 2008. DOI: 10.3745/KIPSTB.2008.15.6.613.

[ACM Style]

Jae Hoon Kim. 2008. Korean Base-Noun Extraction and its Application. The KIPS Transactions:PartB , 15, 6, (2008), 613-620. DOI: 10.3745/KIPSTB.2008.15.6.613.

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