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Paper Abstract and Keywords
Presentation 2015-03-06 10:30
Quality control in human-machine hybrid crowdsourcing
Toshihiro Watanabe (UTokyo), Toshinari Itoko, Shin Saito, Masatomo Kobayashi, Hironobu Takagi (IBM), Hisashi Kashima (Kyoto Univ.) IBISML2014-91
Abstract (in Japanese) (See Japanese page) 
(in English) The power of crowdsourcing has dramatically shortened the required time to create accessible content for disabled people with high quality. A number of existing crowdsourcing projects for accessibility use human-machine hybrid systems, where a computer processes the input and human workers correct the output if it is wrong. However, some workers overlook the incorrect output or corrupt the correct one for various reasons, which lower the quality of the final corrected results. Therefore, a quality control method taking account of these workers' behaviors is needed for higher-quality content. This paper proposes a novel statistical model that describes the influence of the machine output on how the workers react, along with an algorithm that infers the correct results from the efforts of the workers. Our experimental evaluations with synthetic and real datasets demonstrate that the proposed method can decrease the number of correction errors compared to the existing methods.
Keyword (in Japanese) (See Japanese page) 
(in English) human-machine hybrid crowdsourcing / label aggregation / generative models / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 502, IBISML2014-91, pp. 47-54, March 2015.
Paper # IBISML2014-91 
Date of Issue 2015-02-26 (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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IBISML  
Conference Date 2015-03-05 - 2015-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Statistical mathematics, machine learning, data mining, and others 
Paper Information
Registration To IBISML 
Conference Code 2015-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Quality control in human-machine hybrid crowdsourcing 
Sub Title (in English)  
Keyword(1) human-machine hybrid crowdsourcing  
Keyword(2) label aggregation  
Keyword(3) generative models  
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1st Author's Name Toshihiro Watanabe  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Toshinari Itoko  
2nd Author's Affiliation IBM Research - Tokyo (IBM)
3rd Author's Name Shin Saito  
3rd Author's Affiliation IBM Research - Tokyo (IBM)
4th Author's Name Masatomo Kobayashi  
4th Author's Affiliation IBM Research - Tokyo (IBM)
5th Author's Name Hironobu Takagi  
5th Author's Affiliation IBM Research - Tokyo (IBM)
6th Author's Name Hisashi Kashima  
6th Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker
Date Time 2015-03-06 10:30:00 
Presentation Time 30 
Registration for IBISML 
Paper # IEICE-IBISML2014-91 
Volume (vol) IEICE-114 
Number (no) no.502 
Page pp.47-54 
#Pages IEICE-8 
Date of Issue IEICE-IBISML-2015-02-26 


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