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Paper Abstract and Keywords
Presentation 2013-10-19 16:00
Knowledge Acquisition by Hierarchical Structured Semantic Space Model.
Akinori Takada (Ferris Univ.) TL2013-46
Abstract (in Japanese) (See Japanese page) 
(in English) In this article I propose "Hierarchical Structured Semantic Space Model" as a method to construct natural language based question-answering system. In rule-based natural language processing, input sentences are needed to be translated into certain types of meta-form, and there are some problems as below: (1) how we translate sentences like "I think that ..." or "He believes that ...", (2) how we manage contradictions in sentences input by two persons, (3) how we get logically consistent knowledge from various sentences with miscellaneous types. In this proposed method, individually separated semantic spaces having hierarchical structure in virtually placed main system are constructed, and meta-form data in lower semantic space such as "fact" or "logic" are appropriately transformed and brought up into upper semantic space. Further problems are discussed along with examples of implemented system.
Keyword (in Japanese) (See Japanese page) 
(in English) natural language processing / question-answering system / semantic space / knowledge acquisition / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 253, TL2013-46, pp. 31-36, Oct. 2013.
Paper # TL2013-46 
Date of Issue 2013-10-12 (TL) 
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)
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Conference Information
Committee TL  
Conference Date 2013-10-19 - 2013-10-19 
Place (in Japanese) (See Japanese page) 
Place (in English) WASEDA Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) conceptual dictionary and NLP 
Paper Information
Registration To TL 
Conference Code 2013-10-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Knowledge Acquisition by Hierarchical Structured Semantic Space Model. 
Sub Title (in English)  
Keyword(1) natural language processing  
Keyword(2) question-answering system  
Keyword(3) semantic space  
Keyword(4) knowledge acquisition  
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1st Author's Name Akinori Takada  
1st Author's Affiliation Ferris University (Ferris Univ.)
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Speaker Author-1 
Date Time 2013-10-19 16:00:00 
Presentation Time 30 minutes 
Registration for TL 
Paper # TL2013-46 
Volume (vol) vol.113 
Number (no) no.253 
Page pp.31-36 
#Pages
Date of Issue 2013-10-12 (TL) 


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