Judicial CAse REtriever JCare from Japanese Query Sentences based on Semantic Graph Matching

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  • HARADA MINORU
    Department of Integrated Information Technology, Faculty of Science and Engineering, Aoyama Gakuin University
  • SUZUKI RYO
    Graduate School of Industrial and System Engineering, Department of Science and Engineering, Aoyama Gakuin University
  • MINAMI AKIMIZU
    Graduate School of Industrial and System Engineering, Department of Science and Engineering, Aoyama Gakuin University

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Other Title
  • 意味グラフのマッチングによる事故問い合わせ文からの判例検索システムＪＣａｒｅ
  • イミ グラフ ノ マッチング ニ ヨル ジコ トイアワセ ブン カラ ノ ハンレイ ケンサク システム JCare

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Abstract

We propose the technique to realize the information retrieval based on the semantic analysis and actually develop the judicial case retrieval system called JCare. It accepts a query written in Japanese sentences and retrieves a judicial case containing the sentences describing the similar situation specified by the query. It first transforms both a judicial case and the query into semantic graphs that have nodes representing the meaning of word and arcs representing the relations (deep case) between the words. Next, it calculates the similarity between the case and the query by searching the maximum common parts that are topologically equivalent.The graph matching is speeded up by separating each semantic graph into sub-graphs based on the “View” point about a judicial case.

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