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Paper Abstract and Keywords
Presentation 2021-12-11 13:00
Development of trait-based neural automated essay scoring incorporating multidimensional item response theory
Takumi Shibata, Masaki Uto (UEC) ET2021-33
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, deep neural network (DNN)-based automated essay scoring (AES) models that can simultaneously predict the overall score and multiple trait-specific scores have been proposed. However, the main problem of conventional models is the lack of explainability. To resolve this problem, this study proposes a new trait-based DNN-AES model with high explainability by integrating multidimensional item response theory. The proposed model succeeded in improving explainability without a significant loss of accuracy compared to a state-of-the-art conventional model.
Keyword (in Japanese) (See Japanese page) 
(in English) essay-type tests / automated essay scoring / deep neural networks / multidimensional item response theory / explainability / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 294, ET2021-33, pp. 23-28, Dec. 2021.
Paper # ET2021-33 
Date of Issue 2021-12-04 (ET) 
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 ET2021-33

Conference Information
Committee ET  
Conference Date 2021-12-11 - 2021-12-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sessions for Young Researchers (Young Researcher Awards Selection), etc. 
Paper Information
Registration To ET 
Conference Code 2021-12-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of trait-based neural automated essay scoring incorporating multidimensional item response theory 
Sub Title (in English)  
Keyword(1) essay-type tests  
Keyword(2) automated essay scoring  
Keyword(3) deep neural networks  
Keyword(4) multidimensional item response theory  
Keyword(5) explainability  
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1st Author's Name Takumi Shibata  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Masaki Uto  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2021-12-11 13:00:00 
Presentation Time 20 minutes 
Registration for ET 
Paper # ET2021-33 
Volume (vol) vol.121 
Number (no) no.294 
Page pp.23-28 
#Pages
Date of Issue 2021-12-04 (ET) 


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