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Paper Abstract and Keywords
Presentation 2014-01-27 11:10
A Proposal on Answer Sentence Generation Method for Question Answering Using Statistical Machine Translation
Tessei Yamada, Tatsuya Arakawa (Gunma NCT) KBSE2013-66
Abstract (in Japanese) (See Japanese page) 
(in English) Question answering generally generates the answer to the question by extracting the named entity from the sentences containing the answer to the question from information sources. However, it is not always true that an answer created by named entity is natural as the answer to the question. So we propose a method for generating the answer sentence using statistical machine translation. The probability models are constructed by learning from enormous samples of the set of question sentence, extracted sentence, and answer sentence. The question sentence and the sentence extracted by the question answering from information source are regarded as an input of machine translation. They are translated to a suitable answer sentence to the question. In this paper, we attempted to apply our method to several simple types of questions.
Keyword (in Japanese) (See Japanese page) 
(in English) statistical machine translation / question answering / phrase-based model / beam search / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 414, KBSE2013-66, pp. 7-12, Jan. 2014.
Paper # KBSE2013-66 
Date of Issue 2014-01-20 (KBSE) 
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 KBSE2013-66

Conference Information
Committee KBSE  
Conference Date 2014-01-27 - 2014-01-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Genaral session 
Paper Information
Registration To KBSE 
Conference Code 2014-01-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal on Answer Sentence Generation Method for Question Answering Using Statistical Machine Translation 
Sub Title (in English)  
Keyword(1) statistical machine translation  
Keyword(2) question answering  
Keyword(3) phrase-based model  
Keyword(4) beam search  
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1st Author's Name Tessei Yamada  
1st Author's Affiliation Gunma National College of Technology (Gunma NCT)
2nd Author's Name Tatsuya Arakawa  
2nd Author's Affiliation Gunma National College of Technology (Gunma NCT)
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Speaker Author-1 
Date Time 2014-01-27 11:10:00 
Presentation Time 40 minutes 
Registration for KBSE 
Paper # KBSE2013-66 
Volume (vol) vol.113 
Number (no) no.414 
Page pp.7-12 
#Pages
Date of Issue 2014-01-20 (KBSE) 


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