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Paper Abstract and Keywords
Presentation 2019-09-27 11:25
Automatic Extraction of Similar Cases by Using Legal Cases Text Data
Ryosuke Seki, Kaito Takano, Hiroyuki Sakai, Ryozo Kitajima (Seikei Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) The legal cases are the judicial precedents that the concrete cases shown by court in trials. It is difficult to grasp all the contents of legal cases with human power because the legal case texts are a large quantity of document data. Therefore, in this study, it is intended to support lawyer duties by extracting similar cases, automatically. It becomes easy to forecast judicial decision of a new case by automatically extracting cases that are similar to the situation and the content of the new case.
Keyword (in Japanese) (See Japanese page) 
(in English) Similar cases extraction / Similar cases search / Legal case text / End-of-sentence clue expression / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 212, NLC2019-10, pp. 13-17, Sept. 2019.
Paper # NLC2019-10 
Date of Issue 2019-09-20 (NLC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee NLC IPSJ-DC  
Conference Date 2019-09-27 - 2019-09-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Future Corporation 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Thirteenth Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2019-09-NLC-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Extraction of Similar Cases by Using Legal Cases Text Data 
Sub Title (in English)  
Keyword(1) Similar cases extraction  
Keyword(2) Similar cases search  
Keyword(3) Legal case text  
Keyword(4) End-of-sentence clue expression  
1st Author's Name Ryosuke Seki  
1st Author's Affiliation Seikei University (Seikei Univ.)
2nd Author's Name Kaito Takano  
2nd Author's Affiliation Seikei University (Seikei Univ.)
3rd Author's Name Hiroyuki Sakai  
3rd Author's Affiliation Seikei University (Seikei Univ.)
4th Author's Name Ryozo Kitajima  
4th Author's Affiliation Seikei University (Seikei Univ.)
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Date Time 2019-09-27 11:25:00 
Presentation Time 25 
Registration for NLC 
Paper # IEICE-NLC2019-10 
Volume (vol) IEICE-119 
Number (no) no.212 
Page pp.13-17 
#Pages IEICE-5 
Date of Issue IEICE-NLC-2019-09-20 

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