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.
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Kimura, Y., Nakamura, M., Shimazu, A. (2009). Treatment of Legal Sentences Including Itemized and Referential Expressions – Towards Translation into Logical Forms. In: Hattori, H., Kawamura, T., Idé, T., Yokoo, M., Murakami, Y. (eds) New Frontiers in Artificial Intelligence. JSAI 2008. Lecture Notes in Computer Science(), vol 5447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00609-8_21
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DOI: https://doi.org/10.1007/978-3-642-00609-8_21
Publisher Name: Springer, Berlin, Heidelberg
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