ニューラルネットワーク型概念ネットワークの自動構築

抄録

This paper proposes an automatic construction method of a concept network based on neural network. The proposed method constructs a network by connecting weights between a word (word) and a concept (synset) and between a concept and a concept that are described in Japanese WordNet. Two construction methods are proposed: one uses a collocation dictionary, the other uses corpus. The ow of both methods is as follows: (1) sentence analysis is performed (according to necessity) and a set of words that are considered to have semantic relevance is obtained. (2)candidates of concept network based on the set of words are generated. (3) the concept network is modified. (4) cost of the concept network is calculated and it is optimized. Calculation of the relation of words and concepts is possible by generating words and a concept vector based on Japanese Wikipedia text corpus in advance. We implemented a concept network to show the feasibility of the proposed method. According to experiments, it has shown that the subjective accuracy was about 48.7%.