Treatment of Legal Sentences Including Itemized and Referential Expressions --- Towards Translation into Logical Forms

Authors:
Yusuke Kimura;Makoto Nakamura;Akira Shimazu
Affiliations:
School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Japan 923-1292;School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Japan 923-1292;School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Japan 923-1292
Venue:
New Frontiers in Artificial Intelligence
Year:
2009

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Abstract

This paper proposes a framework for analyzing legal sentences including itemized or referential expressions. Thus far, we have developed a system for translating legal documents into logical formulae. Although our system basically converts words and phrases in a target sentence into predicates in a logical formula, it generates some useless predicates for itemized and referential expressions. We propose a front end system which substitutes corresponding referent phrases for these expressions. Thus, the proposed system generates a meaningful text with high readability, which can be input into our translation system. We examine our system with actual data of legal documents. As a result, the system was 73.1% accurate in terms of removing itemized expressions in a closed test, and 51.4% accurate in an open test.