IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

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
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 AI2017-50

Conference Information
Committee AI JSAI-KBS JSAI-DOCMAS JSAI-SAI IPSJ-ICS  
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  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2018-03-03 11:30:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2017-50 
Volume (vol) vol.117 
Number (no) no.468 
Page pp.43-48 
#Pages
Date of Issue 2018-02-23 (AI) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan