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Paper Abstract and Keywords
Presentation 2023-11-11 14:50
Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification
Yuto Takahashi, Masaki Uto (UEC) ET2023-31
Abstract (in Japanese) (See Japanese page) 
(in English) In writing tests, grading by humans can be expensive and is not always sufficiently accurate. To resolve this problem, automatic scoring methods have attracted much attention. In recent years, approaches rooted in deep learning have attained notably high accuracy. However, the possibility of errors produced by an automatic scoring system cannot be eliminated, and this hinders the practical application of automatic scoring. One conventional solution to this problem is to estimate uncertainty in the automatic scoring model's predictions to detect prediction errors. In this study, we introduce a novel automatic scoring model based on deep learning which predict score and estimate uncertainty to improve both score accuracy and uncertainty estimation performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Writing tests / automatic scoring / deep neural networks / multi-task learning / natural language processing / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 254, ET2023-31, pp. 40-46, Nov. 2023.
Paper # ET2023-31 
Date of Issue 2023-11-04 (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 ET2023-31

Conference Information
Committee ET  
Conference Date 2023-11-11 - 2023-11-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagawa University Saiwai-cho (Main) Campus / 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 2023-11-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification 
Sub Title (in English)  
Keyword(1) Writing tests  
Keyword(2) automatic scoring  
Keyword(3) deep neural networks  
Keyword(4) multi-task learning  
Keyword(5) natural language processing  
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1st Author's Name Yuto Takahashi  
1st Author's Affiliation University of Electro-Communications (UEC)
2nd Author's Name Masaki Uto  
2nd Author's Affiliation University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2023-11-11 14:50:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2023-31 
Volume (vol) vol.123 
Number (no) no.254 
Page pp.40-46 
#Pages 7 
Date of Issue 2023-11-04 (ET) 

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