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RISS 인기검색어
- 검색키워드
- 저자 : ( Kenji Nagamatsu ) (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
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Estimating Point-of-View-based Similarity using POV Reinforcement and Similarity Propagation
( Kenji Nagamatsu ),( Hidehiko Tanaka ) 한국언어정보학회 1996 국제 워크샵 Vol.1996 No.-
This paper proposes a similarity measure which takes account of point-of-views (abbreviated to POV, hereafter) in the calculation of similarity values. So far many researches on similarity measures have been per-formed but none takes account of POVs. The similarity measure pro-posed in this paper is based on co-occurrence probabilities of words and this makes it possible to obtain preferable precision even if POVs are not given. This method consists of two parts of processes, POV reinforce-ment and similarity propagation. First, the POV reinforcement process, which affects the similarity between words, modifies the weights of links according to the relatedness between the link and the POV word. Sec-ond, the similarity propagation process propagates the weights of links and defines a similarity value for word pairs which do not actually co-occur in the corpus. Using those two processes this method becomes capable both to take POVs into consideration and to cope with the sparseness of corpora to some degree. This paper, however, focuses on the POV reinforcement and evaluates the effectiveness of the method.
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