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Paper Abstract and Keywords
Presentation 2022-03-09 14:55
Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields
Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each word by considering the Dirichlet process on the Gaussian Markov random field in the modeling of the diachronic meaning change of words.
In the experiments using pseudo data, we show that proposed model can correctly estimates changes and the number of word senses.
In the experiment using actual data, we show the estimated results and analiysis for multiple target words.
Keyword (in Japanese) (See Japanese page) 
(in English) Meaning change / Hierarchical Bayesian model / Topic model / Gaussian Markov random field / Dirichlet process / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 419, IBISML2021-47, pp. 61-68, March 2022.
Paper # IBISML2021-47 
Date of Issue 2022-03-01 (IBISML) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 IBISML  
Conference Date 2022-03-08 - 2022-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2022-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields 
Sub Title (in English)  
Keyword(1) Meaning change  
Keyword(2) Hierarchical Bayesian model  
Keyword(3) Topic model  
Keyword(4) Gaussian Markov random field  
Keyword(5) Dirichlet process  
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Keyword(8)  
1st Author's Name Seiichi Inoue  
1st Author's Affiliation Tokyo Metropolitan University (TMU)
2nd Author's Name Mamoru Komachi  
2nd Author's Affiliation Tokyo Metropolitan University (TMU)
3rd Author's Name Toshinobu Ogiso  
3rd Author's Affiliation National Institute for Japanese Language and Linguistics (NINJAL)
4th Author's Name Hiroya Takamura  
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
5th Author's Name Daichi Mochihashi  
5th Author's Affiliation The Institute of Statistical Mathematics (ISM)
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Speaker Author-1 
Date Time 2022-03-09 14:55:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2021-47 
Volume (vol) vol.121 
Number (no) no.419 
Page pp.61-68 
#Pages
Date of Issue 2022-03-01 (IBISML) 


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