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Paper Abstract and Keywords
Presentation 2024-09-02 15:30
Can an LLM Reproduce Emotional Associations to Nonsense Words by Humans?
Yui Miyakawa, Chihaya Matsuhira, Hirotaka Kato (Nagoya Univ.), Takatsugu Hirayama (Univ. of Human Environments), Takahiro Komamizu, Ichiro Ide (Nagoya Univ.) NLC2024-7
Abstract (in Japanese) (See Japanese page) 
(in English) Nonsense words are words that do not exist within the vocabulary of a language. Understanding human perception of nonsense words is helpful to devise product and character names that match their characteristics. Existing studies suggest that Large Language Models (LLMs) could estimate this perception, but they did not focus on emotions. Hence, this study explores the relationship of emotions evoked by nonsense words between LLMs and humans. Using GPT-4, we reproduce the manual procedure of a previous study to annotate evoked emotions for nonsense words. As a result, a positive correlation of 0.40 was observed between GPT-4's and humans' emotion intensity ratings. A previous study reported that the correlation among humans was about 0.69 on average and that between a regression model trained on the annotations for real words and humans was 0.17. These scores indicate that GPT-4's agreement with humans is notably strong.
Keyword (in Japanese) (See Japanese page) 
(in English) Large Language Models / word-emotion associations / nonsense words / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 173, NLC2024-7, pp. 33-38, Sept. 2024.
Paper # NLC2024-7 
Date of Issue 2024-08-26 (NLC) 
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 NLC2024-7

Conference Information
Committee NLC  
Conference Date 2024-09-02 - 2024-09-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University. The Clark Memorial Student Center. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 21st Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2024-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Can an LLM Reproduce Emotional Associations to Nonsense Words by Humans? 
Sub Title (in English)  
Keyword(1) Large Language Models  
Keyword(2) word-emotion associations  
Keyword(3) nonsense words  
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1st Author's Name Yui Miyakawa  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Chihaya Matsuhira  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Hirotaka Kato  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
4th Author's Name Takatsugu Hirayama  
4th Author's Affiliation University of Human Environments (Univ. of Human Environments)
5th Author's Name Takahiro Komamizu  
5th Author's Affiliation Nagoya University (Nagoya Univ.)
6th Author's Name Ichiro Ide  
6th Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2024-09-02 15:30:00 
Presentation Time 20 minutes 
Registration for NLC 
Paper # NLC2024-7 
Volume (vol) vol.124 
Number (no) no.173 
Page pp.33-38 
#Pages 6 
Date of Issue 2024-08-26 (NLC) 

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