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Paper Abstract and Keywords
Presentation 2018-09-07 13:10
Short text categorization with fine-tuning
Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto (Univ of Yamanashi) NLC2018-20
Abstract (in Japanese) (See Japanese page) 
(in English) We propose an approach for multi-label categorization of short texts and explore the use of a hierarchical structure (HS) of categories. The lower the HS level, the worse the categorization performance because the number of training data per category in the lower level is much smaller than that in the upper level. We use a transfer learning technique by fine-tuning to learn the hierarchical structure of categories. We applied the Convolutional Neural Network (CNN) with fine-tuning. By transferring and finely tuning the trained parameters of CNN at each level of HS, we aim to improve the accuracy at the lower level of the HS. The results using a benchmark dataset show that the proposed method is competitive with the state-of-the-art CNN based multi-label categorization method XML-CNN, as the improvement of our method attained at 1.2% in Micro-F1 and 7.4% in Macro-F1 compared with XML-CNN.
Keyword (in Japanese) (See Japanese page) 
(in English) short text categorization / multi-label categorization / convolutional neural network / fine-tuning / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 210, NLC2018-20, pp. 73-78, Sept. 2018.
Paper # NLC2018-20 
Date of Issue 2018-08-30 (NLC) 
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)
Download PDF NLC2018-20

Conference Information
Committee NLC IPSJ-DC  
Conference Date 2018-09-06 - 2018-09-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Seikei University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The Thirteenth Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2018-09-NLC-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Short text categorization with fine-tuning 
Sub Title (in English)  
Keyword(1) short text categorization  
Keyword(2) multi-label categorization  
Keyword(3) convolutional neural network  
Keyword(4) fine-tuning  
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1st Author's Name Kazuya Shimura  
1st Author's Affiliation University of Yamanashi (Univ of Yamanashi)
2nd Author's Name Jiyi Li  
2nd Author's Affiliation University of Yamanashi (Univ of Yamanashi)
3rd Author's Name Fumiyo Fukumoto  
3rd Author's Affiliation University of Yamanashi (Univ of Yamanashi)
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Speaker Author-1 
Date Time 2018-09-07 13:10:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2018-20 
Volume (vol) vol.118 
Number (no) no.210 
Page pp.73-78 
#Pages 6 
Date of Issue 2018-08-30 (NLC) 

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