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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.)  NLC2019-10 |
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| 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 | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLC2019-10 |
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| 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 |
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| 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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| Speaker | Author-1 |
| Date Time | 2019-09-27 11:25:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2019-10 |
| Volume (vol) | vol.119 |
| Number (no) | no.212 |
| Page | pp.13-17 |
| #Pages | 5 |
| Date of Issue | 2019-09-20 (NLC) |
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