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Paper Abstract and Keywords
Presentation 2018-08-27 14:20
[Invited Talk] Product models and semi-supervised word segmentation
Daichi Mochihashi (ISM) SP2018-28
Abstract (in Japanese) (See Japanese page) 
(in English) While deep learning methods have achieved revolutionary success in
speech and audio research, the impact is less significant in natural language
processing.
This is due to the fact that the language has inherent structure, and
simple deep learning layers cannot represent such structures.
Therefore, to combine speech and language it is quite important to leverage
structured statistical models for the joint models.
Boltzmann machines, which is the most basic building blocks in deep learning,
are product models from a statistical viewpoint. In this talk, I would like to
introduce a semi-supervised learning on product models that enables
semi-supervised word segmentation, a quite desired but not well represented
technique for natural language processing.
Keyword (in Japanese) (See Japanese page) 
(in English) product models / semi-supervised learning / unsupervised learning / Bayesian learning / word segmentation / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 198, SP2018-28, pp. 29-29, Aug. 2018.
Paper # SP2018-28 
Date of Issue 2018-08-20 (SP) 
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 SP2018-28

Conference Information
Committee SP  
Conference Date 2018-08-27 - 2018-08-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SP 
Conference Code 2018-08-SP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Product models and semi-supervised word segmentation 
Sub Title (in English)  
Keyword(1) product models  
Keyword(2) semi-supervised learning  
Keyword(3) unsupervised learning  
Keyword(4) Bayesian learning  
Keyword(5) word segmentation  
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1st Author's Name Daichi Mochihashi  
1st Author's Affiliation The Institute of Statistical Mathematics (ISM)
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Speaker
Date Time 2018-08-27 14:20:00 
Presentation Time 60 
Registration for SP 
Paper # IEICE-SP2018-28 
Volume (vol) IEICE-118 
Number (no) no.198 
Page p.29 
#Pages IEICE-1 
Date of Issue IEICE-SP-2018-08-20 


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