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Paper Abstract and Keywords
Presentation 2010-06-25 11:30
Automatic Extraction of Human Activity Attributes from Twitter
Nguyen Minh The, Takahiro Kawamura, Yasuyuki Tahara, Akihiko Ohsuga (Univ. of Electro-Comm.) AI2010-4
Abstract (in Japanese) (See Japanese page) 
(in English) The goal of this paper is to describe a method to automatically extract all basic attributes namely actor, action, object, time and location which belong to an activity, in each sentence retrieved from Twitter. Previous work had some limitations, such as inability of extracting infrequent activities, high setup cost, inability of extracting all attributes. To resolve these problems, this paper proposes a novel approach that treats the activity extraction as a sequence labeling problem, and automatically makes its own training data. This approach can extract infrequent
activities, and has advantages such as domain-independence, scalability, and unnecessary hand-tagged data.
Keyword (in Japanese) (See Japanese page) 
(in English) Human Activity / Twitter / Semantic Network / Web Mining / Self-Supervised Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 105, AI2010-4, pp. 19-23, June 2010.
Paper # AI2010-4 
Date of Issue 2010-06-18 (AI) 
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 AI2010-4

Conference Information
Committee AI  
Conference Date 2010-06-25 - 2010-06-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2010-06-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automatic Extraction of Human Activity Attributes from Twitter 
Sub Title (in English)  
Keyword(1) Human Activity  
Keyword(2) Twitter  
Keyword(3) Semantic Network  
Keyword(4) Web Mining  
Keyword(5) Self-Supervised Learning  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Nguyen Minh The  
1st Author's Affiliation The University of Electro-Communications (Univ. of Electro-Comm.)
2nd Author's Name Takahiro Kawamura  
2nd Author's Affiliation The University of Electro-Communications (Univ. of Electro-Comm.)
3rd Author's Name Yasuyuki Tahara  
3rd Author's Affiliation The University of Electro-Communications (Univ. of Electro-Comm.)
4th Author's Name Akihiko Ohsuga  
4th Author's Affiliation The University of Electro-Communications (Univ. of Electro-Comm.)
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Speaker Author-1 
Date Time 2010-06-25 11:30:00 
Presentation Time 30 minutes 
Registration for AI 
Paper # AI2010-4 
Volume (vol) vol.110 
Number (no) no.105 
Page pp.19-23 
#Pages 5 
Date of Issue 2010-06-18 (AI) 

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