Presentation 2006-02-03
A Study toward Automatic Illustration of Legal Text
Takao Ishizuka,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a new method for automatic illustration of legal text. The reasons which make us difficult to understand most of laws are chiefly based on the macroscopic structure of the law system and the microscopic syntax of each article of the law. Our method quantizes information content by the ratio of the number of old words to the number of new words in an article of the law. Old words mean words emerging from the article 1 to the predecessor article of the law. We can illustrate a tree diagram by the distribution of the information content semi-automatically. Further, we develop a program of clustering predicate pattern used in the sentence of the whole articles of the law.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Automatic Illustration / Legal Text / Information Content of the Article
Paper # NLC2005-122
Date of Issue

Conference Information
Committee NLC
Conference Date 2006/1/27(1days)
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Place (in English)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study toward Automatic Illustration of Legal Text
Sub Title (in English)
Keyword(1) Automatic Illustration
Keyword(2) Legal Text
Keyword(3) Information Content of the Article
1st Author's Name Takao Ishizuka
1st Author's Affiliation Faculty of Business Administration, Asia University()
Date 2006-02-03
Paper # NLC2005-122
Volume (vol) vol.105
Number (no) 595
Page pp.pp.-
#Pages 6
Date of Issue