<紀要論文>
k-NN推定法に基づいた名詞句の意味関係の推定

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概要 The noun phrase "NP 'no' NP", that consists of two noun phrases NPs connected by an adnominal particles 'no', is frequently used in Japanese sentences. The surface structure of this pattern is simple,... but it has various semantic structures. For such noun phrases, there has been a grammar proposed, where their semantic structures can be gotten systematically from their syntactic structures. This grammar fractionates noun phrases into four syntactic categories(CN,T,RN,EN). As a result, the syntactic structures in this grammar can be mapped into each semantic structure. But in case that syntactic structure is "T 'no' CN", it is necessary to infer semantic relations between T and CN, which don't appear in the surface structure. In this paper, one method of pattern recognization (Bayes decision rule with k-Nearest Neighbor estimation, which is nonparametric estimation of a probability density) is applied to estimating semantic relations of a noun phrase whose syntactic category is "T 'no' CN". As a result of the experiment, the accuracy is about 78%.続きを見る

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登録日 2015.05.26
更新日 2020.11.17

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