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Paper Abstract and Keywords
Presentation 2019-03-18 14:00
Proposal of Hierarchical Structured Semantic Space Model for Implementation of Learning of Logic and Facts by Input Sentences.
Akinori Takada (Ferris Univ.) TL2018-59
Abstract (in Japanese) (See Japanese page) 
(in English) In this article I propose "Hierarchical Structured Semantic Space Model (H3SM)" as a method to construct natural language based question-answering system. In rule-based NLP, there exist some problems in transforming sentences like "I think that ..." or "He believes that ..." into meta-form. In this model, semantic spaces having hierarchical structure 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 processing examples of implemented system.
Keyword (in Japanese) (See Japanese page) 
(in English) natural language processing / question-answering system / semantic space / hierarchical structure / channel theory / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 516, TL2018-59, pp. 47-52, March 2019.
Paper # TL2018-59 
Date of Issue 2019-03-11 (TL) 
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 TL2018-59

Conference Information
Committee TL  
Conference Date 2019-03-18 - 2019-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Theme 1 : Language and Learning, Learning Language, Theme 2: Abduction of meaning, "Ba" in Co-Creation, Abduction and Innovation, Theme 3: Interpretation, Translation, Theory of linguistic relativity and hospitality communication 
Paper Information
Registration To TL 
Conference Code 2019-03-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of Hierarchical Structured Semantic Space Model for Implementation of Learning of Logic and Facts by Input Sentences. 
Sub Title (in English)  
Keyword(1) natural language processing  
Keyword(2) question-answering system  
Keyword(3) semantic space  
Keyword(4) hierarchical structure  
Keyword(5) channel theory  
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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 2019-03-18 14:00:00 
Presentation Time 25 minutes 
Registration for TL 
Paper # TL2018-59 
Volume (vol) vol.118 
Number (no) no.516 
Page pp.47-52 
#Pages 6 
Date of Issue 2019-03-11 (TL) 

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