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KMID : 0608520060120030001
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Korean Journal of Oriental Medicine
2006 Volume.12 No. 3 p.1 ~ p.15
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The Method of the Evaluation of Verbal Lexical-Semantic Network Using the Automatic Word Clustering System
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Kim Hae-Gyung
Song Mi-Young
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Abstract
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For the recent several years, there has been much interest in lexical semantic network. However, it seems to be very difficult to evaluate the effectiveness and correctness of it and invent the methods for applying it into various problem domains. In order to offer the fundamental ideas about how to evaluate and utilize lexical semantic networks, we developed two automatic word clustering systems. which are called system A and system B respectively. 68,455,856 words were used to learn both systems. We compared the clustering results of system A to those of system B which is extended by the lexical-semantic network. The system B is extended by reconstructing the feature vectors which are used the elements of the lexical-semantic network of 3,656 ’-ha’ verbs. The target data is the ’multilingual Word Net-CoreNet’.When we compared the accuracy of the system A and system B, we found that system B showed the accuracy of 46.6% which is better than that of system A, 45.3%.
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KEYWORD
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lexical-semantic network, thesaurus, automatic word clustering, feature vector, -ha’ verb
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