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Paper Abstract and Keywords
Presentation 2018-03-03 11:30
The Method of Measuring the Degree of Association between Concepts using Concept-base and Word2Vec
Takuya Sera, Seiji Tsuchiya, Hirokazu Watanabe (Doshisya) AI2017-50
Abstract (in Japanese) (See Japanese page) 
(in English) In order to make communication between computer and human more natural, computer needs to retain knowledge of the human language. In addition, in order to associate words with words, it is necessary to quantify the proximity of words. Concept-Base is a knowledge base that gathered such knowledge in specific forms. Moreover, there is The Measuring Method of the Degree of Association that uses a Concept-Base to quantify proximity of words. In this paper, we build Concept-Base with Wikipedia as the information source, and Vector space model using Word2Vec. Then, we propose The Measuring Method of Degree of Association considering similarity using the Concept-Base and Vector space model.
Keyword (in Japanese) (See Japanese page) 
(in English) Knowledge-base / Word2Vec / NLP / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 468, AI2017-50, pp. 43-48, March 2018.
Paper # AI2017-50 
Date of Issue 2018-02-23 (AI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2017-50

Conference Information
Conference Date 2018-03-01 - 2018-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Social System and Information Technology 
Paper Information
Registration To AI 
Conference Code 2018-03-AI-KBS-DOCMAS-SAI-ICS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The Method of Measuring the Degree of Association between Concepts using Concept-base and Word2Vec 
Sub Title (in English)  
Keyword(1) Knowledge-base  
Keyword(2) Word2Vec  
Keyword(3) NLP  
1st Author's Name Takuya Sera  
1st Author's Affiliation Doshisya Univ. (Doshisya)
2nd Author's Name Seiji Tsuchiya  
2nd Author's Affiliation Doshisya Univ. (Doshisya)
3rd Author's Name Hirokazu Watanabe  
3rd Author's Affiliation Doshisya Univ. (Doshisya)
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Date Time 2018-03-03 11:30:00 
Presentation Time 20 
Registration for AI 
Paper # IEICE-AI2017-50 
Volume (vol) IEICE-117 
Number (no) no.468 
Page pp.43-48 
#Pages IEICE-6 
Date of Issue IEICE-AI-2018-02-23 

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