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 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) |
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IBISML2021-47 |
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) |
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Keyword(1) |
Meaning change |
Keyword(2) |
Hierarchical Bayesian model |
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Topic model |
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Gaussian Markov random field |
Keyword(5) |
Dirichlet process |
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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 |
8 |
Date of Issue |
2022-03-01 (IBISML) |
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