Presentation 2019-09-27
Automatic Extraction of Similar Cases by Using Legal Cases Text Data
Ryosuke Seki, Kaito Takano, Hiroyuki Sakai, Ryozo Kitajima,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Similar cases extraction / Similar cases search / Legal case text / End-of-sentence clue expression
Paper # NLC2019-10
Date of Issue 2019-09-20 (NLC)

Conference Information
Committee NLC / IPSJ-DC
Conference Date 2019/9/27(2days)
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
Chair Takeshi Sakaki(Hottolink) / Ryoji Akimoto(Toppan Printing)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.)
Secretary Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) / (Future Univ. Hakodate)
Assistant Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Document Communication
Language JPN
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.)
Date 2019-09-27
Paper # NLC2019-10
Volume (vol) vol.119
Number (no) NLC-212
Page pp.pp.13-17(NLC),
#Pages 5
Date of Issue 2019-09-20 (NLC)