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Paper Abstract and Keywords
Presentation 2015-12-03 13:30
Detection of Mathematical Formula Regions in Images of Scientific Papers by using Deep Learning and OCR
Shintaro Date, Hideki Isozaki (Okayama Pref. Univ.) NLC2015-37
Abstract (in Japanese) (See Japanese page) 
(in English) We are building a QA system about scientific literatures.
We can ask questions such as ``what is the definition of C-value?''
Its answer is a mathematical formula.
Thus, mathematical formulas play important roles just like
named entities in Open Domain Question Answering.
%We are not interested in how the formula is constructed
Unlike Math OCR, we are not interested in how the formula is constructed
and simply treat formulas as images.
In this paper, we present a formula image detection method based on
Deep Learning and open source OCR software.
First, we tried Deep Learning to detect mathematical formulas, but it was difficult to detect in-line formulas.
Therefore, we also used open source OCR software.
We show experimental results based on ACL Anthology papers.
Keyword (in Japanese) (See Japanese page) 
(in English) QA system / Deep Learning / OCR / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 347, NLC2015-37, pp. 19-24, Dec. 2015.
Paper # NLC2015-37 
Date of Issue 2015-11-26 (NLC) 
ISSN Print edition: ISSN 0913-5685    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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF NLC2015-37

Conference Information
Committee NLC IPSJ-NL SP IPSJ-SLP  
Conference Date 2015-12-02 - 2015-12-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Inst of Tech. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Second Natural Language Processing Symposium & The 17th Spoken Language Symposium 
Paper Information
Registration To NLC 
Conference Code 2015-12-NLC-NL-SP-SLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of Mathematical Formula Regions in Images of Scientific Papers by using Deep Learning and OCR 
Sub Title (in English)  
Keyword(1) QA system  
Keyword(2) Deep Learning  
Keyword(3) OCR  
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1st Author's Name Shintaro Date  
1st Author's Affiliation Okayama Prefectural University (Okayama Pref. Univ.)
2nd Author's Name Hideki Isozaki  
2nd Author's Affiliation Okayama Prefectural University (Okayama Pref. Univ.)
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Speaker Author-1 
Date Time 2015-12-03 13:30:00 
Presentation Time 120 minutes 
Registration for NLC 
Paper # NLC2015-37 
Volume (vol) vol.115 
Number (no) no.347 
Page pp.19-24 
#Pages 6 
Date of Issue 2015-11-26 (NLC) 

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