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Paper Abstract and Keywords
Presentation 2017-09-08 16:45
Extraction of causal information from summaries of financial statements
Hiroyuki Sakai, Kazuki Matsushita (SEIKEI Univ.) NLC2017-33
Abstract (in Japanese) (See Japanese page) 
(in English) In this research, we propose a method to extract sentences including causal information concerning business performance (e.g. "Orders of semiconductor manufacturing equipments were good") from summary of financial statements.
A previous research to extract sentences including causal information concerning business performance from summary of financial statements exists.
In contrast, our method automatically generates training data by more accurately narrowing down the sentences extracted by the previous method.
Using them, our method extracts more sentences including causal information concerning business performance than the previous method by deep learning.
Keyword (in Japanese) (See Japanese page) 
(in English) Causal information / Summaries of financial statements / Text mining / Natural language processing / Information extraction / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 207, NLC2017-33, pp. 87-91, Sept. 2017.
Paper # NLC2017-33 
Date of Issue 2017-08-31 (NLC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 NLC2017-33

Conference Information
Committee NLC  
Conference Date 2017-09-07 - 2017-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Seikei University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Eleventh Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2017-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extraction of causal information from summaries of financial statements 
Sub Title (in English)  
Keyword(1) Causal information  
Keyword(2) Summaries of financial statements  
Keyword(3) Text mining  
Keyword(4) Natural language processing  
Keyword(5) Information extraction  
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1st Author's Name Hiroyuki Sakai  
1st Author's Affiliation SEIKEI University (SEIKEI Univ.)
2nd Author's Name Kazuki Matsushita  
2nd Author's Affiliation SEIKEI University (SEIKEI Univ.)
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Speaker
Date Time 2017-09-08 16:45:00 
Presentation Time 25 
Registration for NLC 
Paper # IEICE-NLC2017-33 
Volume (vol) IEICE-117 
Number (no) no.207 
Page pp.87-91 
#Pages IEICE-5 
Date of Issue IEICE-NLC-2017-08-31 


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