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Paper Abstract and Keywords
Presentation 2022-01-28 10:00
An Objective Article Search Method from Printed Japanese Contract Document Using Optical Character Recognition
Shixi Chen, Masaki Sakagami, Nobuo Funabiki (Okayama Univ.), Takashi Toshida, Kohei Suga (Astrolab) ICM2021-39 LOIS2021-37
Abstract (in Japanese) (See Japanese page) 
(in English) A contract is essential for the involved companies to have successful businesses among them. Then, the contract document is the important legal document that defines the formal agreements and consists of multiple articles where one article describes the agreement on a certain subject or condition.

It is useful to automatically search and extract the article describing the search subject, although contact documents are often filed on printed papers in many companies.

In this paper, we propose an objective article search method from a printed Japanese contract document using the optical character recognition (OCR) technology. From the recognized characters, it finds the article whose title contains the subject, or finds the paragraph that well matches with the given keyword list. This list can be automatically generated by giving the sample articles related to the subject in existing contract documents.

For evaluations, we implemented the proposed method using Python and applied it to $35$ contract documents. The results confirm the effectiveness of the proposal by successfully finding the objective articles from all of them.
Keyword (in Japanese) (See Japanese page) 
(in English) contract document / article / subject / OCR / regular expression / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 355, LOIS2021-37, pp. 34-39, Jan. 2022.
Paper # LOIS2021-37 
Date of Issue 2022-01-20 (ICM, LOIS) 
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 ICM2021-39 LOIS2021-37

Conference Information
Committee LOIS ICM  
Conference Date 2022-01-27 - 2022-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc. 
Paper Information
Registration To LOIS 
Conference Code 2022-01-LOIS-ICM 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Objective Article Search Method from Printed Japanese Contract Document Using Optical Character Recognition 
Sub Title (in English)  
Keyword(1) contract document  
Keyword(2) article  
Keyword(3) subject  
Keyword(4) OCR  
Keyword(5) regular expression  
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Keyword(7)  
Keyword(8)  
1st Author's Name Shixi Chen  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Masaki Sakagami  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Nobuo Funabiki  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Takashi Toshida  
4th Author's Affiliation Astrolab Inc. (Astrolab)
5th Author's Name Kohei Suga  
5th Author's Affiliation Astrolab Inc. (Astrolab)
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Speaker Author-1 
Date Time 2022-01-28 10:00:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # ICM2021-39, LOIS2021-37 
Volume (vol) vol.121 
Number (no) no.354(ICM), no.355(LOIS) 
Page pp.34-39 
#Pages 6 
Date of Issue 2022-01-20 (ICM, LOIS) 

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