Paper Abstract and Keywords |
Presentation |
2012-11-07 15:30
Nested-Hierarchical Dirichlet Process Mixtures for Simultaneous Document-Topic Clustering Shoji Tominaga, Masamichi Shimosaka, Rui Fukui, Tomomasa Sato (Univ. of Tokyo) IBISML2012-56 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we propose a nonparametric Bayesian framework for natural language processing (NLP). Our framework is based on two applied Dirichlet processes (DP), hierarchical DP and nested DP, and simultaneously optimizes the document clusters and topics, estimating the number of both of them. We also provide closed-form posterior estimation methods for the framework with variational inference and blocked Gibbs sampler, so our method gives performance tradeoff according to the data size. Experimental results using real corpus data show that our framework gives another vision to the field of NLP and has higher prediction scores to existing nonparametric generative models. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
document clustering / topic analyses / nonparametric Bayes / nested-hierarchical Dirichlet processes / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 279, IBISML2012-56, pp. 157-164, Nov. 2012. |
Paper # |
IBISML2012-56 |
Date of Issue |
2012-10-31 (IBISML) |
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) |
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IBISML2012-56 |
Conference Information |
Committee |
IBISML |
Conference Date |
2012-11-07 - 2012-11-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
the 15th Information-Based Induction Sciences Workshop |
Paper Information |
Registration To |
IBISML |
Conference Code |
2012-11-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Nested-Hierarchical Dirichlet Process Mixtures for Simultaneous Document-Topic Clustering |
Sub Title (in English) |
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Keyword(1) |
document clustering |
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topic analyses |
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nonparametric Bayes |
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nested-hierarchical Dirichlet processes |
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1st Author's Name |
Shoji Tominaga |
1st Author's Affiliation |
The University of Tokyo (Univ. of Tokyo) |
2nd Author's Name |
Masamichi Shimosaka |
2nd Author's Affiliation |
The University of Tokyo (Univ. of Tokyo) |
3rd Author's Name |
Rui Fukui |
3rd Author's Affiliation |
The University of Tokyo (Univ. of Tokyo) |
4th Author's Name |
Tomomasa Sato |
4th Author's Affiliation |
The University of Tokyo (Univ. of Tokyo) |
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Speaker |
Author-1 |
Date Time |
2012-11-07 15:30:00 |
Presentation Time |
150 minutes |
Registration for |
IBISML |
Paper # |
IBISML2012-56 |
Volume (vol) |
vol.112 |
Number (no) |
no.279 |
Page |
pp.157-164 |
#Pages |
8 |
Date of Issue |
2012-10-31 (IBISML) |
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