Construction of Causal Networks for Risk Finding Considering Word Polarities

Abstract

In this research, we conduct an experiment of constructing a causal networks within settlement account briefs. We extracted the causal relations from settlement briefs, and construct a network by connecting them by judging similarities. For calculating the similarities, we use a word2vec model created from the Japanese Wikipedia corpus.We use a method based on a combination of idf values which representing importance of words. In addition, by giving the polarities of causal expression using a polar dictionary, and judgment of synonyms that word2vec can't detect, we define so to speak, "negative relation".