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Paper Abstract and Keywords
Presentation 2017-02-09 10:40
Recognizing Textual Entailment with Dependency-Parsed Structure Taking into Account Copular Sentence
Akira Saito, Koichi Takeuchi (Okayama Univ.) NLC2016-40
Abstract (in Japanese) (See Japanese page) 
(in English) In the previous study of recognizing textual entailment, content word matching based approaches are often applied into recognizing entailments. However, in the methods that do not take into account the order of the content words appearing in the sentences, not small number of sentence pairs would be wrongly judged as entailed. In this paper, thus we propose an approach to recognize entailments by detecting the inclusive relation with text structures. The Predicate-Argument Structure Analyzer (ASA) was used to generate the sentence structure from the natural language sentences. In conventional ASA analysis, classification of content words and function words was inadequate for predicates in copula sentences. Thus, the ASA was improved on this point and the evaluation experiment was conducted using the RITE2 problem set provided in NTCIR-10. As the results of the evaluation experiments, we report that three cases of successful recognition of entailments by the improvement of ASA.
Keyword (in Japanese) (See Japanese page) 
(in English) Recognizing Textual Entailments / Predicate Argument Structure / Copular Sentence / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 451, NLC2016-40, pp. 1-5, Feb. 2017.
Paper # NLC2016-40 
Date of Issue 2017-02-02 (NLC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 NLC IPSJ-IFAT  
Conference Date 2017-02-09 - 2017-02-10 
Place (in Japanese) (See Japanese page) 
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Paper Information
Registration To NLC 
Conference Code 2017-02-NLC-IFAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognizing Textual Entailment with Dependency-Parsed Structure Taking into Account Copular Sentence 
Sub Title (in English)  
Keyword(1) Recognizing Textual Entailments  
Keyword(2) Predicate Argument Structure  
Keyword(3) Copular Sentence  
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1st Author's Name Akira Saito  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Koichi Takeuchi  
2nd Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2017-02-09 10:40:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2016-40 
Volume (vol) vol.116 
Number (no) no.451 
Page pp.1-5 
#Pages
Date of Issue 2017-02-02 (NLC) 


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