IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2021-09-18 16:05
[Keynote Address] Neural Network as an Explainable Human -- A New Approach to Contrastive Studies --
Yugo Murawaki (Kyoto Univ.) TL2021-16
Abstract (in Japanese) (See Japanese page) 
(in English) In this talk, I argue that techniques developed in the field of explainable AI (XAI) have potential applications in computational human sciences. In typical XAI scenarios, artificial intelligence is seen as a technological Other that is obliged to win human trust by explaining the black box. In computational human sciences, however, it is humans that are the black box, and artificial intelligence serves as an approximation of human functions. This observation motivates us to use explanation methods to explain humans. As a concrete example, I show that neural network-based classifiers can be applied to contrastive studies. We begin by training a classifier to discriminate texts written by two groups of humans and then apply an explanation method to analyze how it performs classification. A major advantage of this approach is that the high expressive power of modern neural networks allows us to investigate context-sensitive words and long expressions in an explorative manner.
Keyword (in Japanese) (See Japanese page) 
(in English) explainable AI / neural networks / classifiers / contrastive studies / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 180, TL2021-16, pp. 23-27, Sept. 2021.
Paper # TL2021-16 
Date of Issue 2021-09-11 (TL) 
ISSN Online edition: ISSN 2432-6380
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 TL2021-16

Conference Information
Committee TL  
Conference Date 2021-09-18 - 2021-09-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Language Processing and Language Learning 
Paper Information
Registration To TL 
Conference Code 2021-09-TL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neural Network as an Explainable Human 
Sub Title (in English) A New Approach to Contrastive Studies 
Keyword(1) explainable AI  
Keyword(2) neural networks  
Keyword(3) classifiers  
Keyword(4) contrastive studies  
1st Author's Name Yugo Murawaki  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name  
2nd Author's Affiliation ()
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2021-09-18 16:05:00 
Presentation Time 60 minutes 
Registration for TL 
Paper # TL2021-16 
Volume (vol) vol.121 
Number (no) no.180 
Page pp.23-27 
Date of Issue 2021-09-11 (TL) 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan