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Paper Abstract and Keywords
Presentation 2022-01-21 10:00
[Short Paper] Dementia Detection Using Two Perplexities Methods with Part-of-Speech Tags
Chuheng Zheng, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) SeMI2021-77
Abstract (in Japanese) (See Japanese page) 
(in English) Alzheimer’s disease is a kind of dementia that causes problems with memory, thinking, and behavior. Using automated computational methods to detect dementia is receiving attention for its affordable cost, fast screening, and non-invasive process. Two perplexities methods utilize language models and their perplexity difference to detect dementia. Previous work confirmed that two perplexities methods detect dementia by evaluating the lexical frequency of the vocabulary in patients’ speech. However, human speech is composed of both vocabulary and grammar/sentence patterns. Our work proposes to incorporate part-of-speech (PoS) tags in the two perplexities methods to eliminate the influence of lexical frequency and show that grammar/sentence patterns help distinguish dementia patients from healthy subjects in the two perplexities methods.
Keyword (in Japanese) (See Japanese page) 
(in English) dementia detection / natural language processing / part-of-speech tags / language model / perplexity / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 333, SeMI2021-77, pp. 98-102, Jan. 2022.
Paper # SeMI2021-77 
Date of Issue 2022-01-13 (SeMI) 
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 SeMI2021-77

Conference Information
Committee SeMI  
Conference Date 2022-01-20 - 2022-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To SeMI 
Conference Code 2022-01-SeMI 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dementia Detection Using Two Perplexities Methods with Part-of-Speech Tags 
Sub Title (in English)  
Keyword(1) dementia detection  
Keyword(2) natural language processing  
Keyword(3) part-of-speech tags  
Keyword(4) language model  
Keyword(5) perplexity  
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1st Author's Name Chuheng Zheng  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Mondher Bouazizi  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Tomoaki Ohtsuki  
3rd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2022-01-21 10:00:00 
Presentation Time 10 minutes 
Registration for SeMI 
Paper # SeMI2021-77 
Volume (vol) vol.121 
Number (no) no.333 
Page pp.98-102 
#Pages 5 
Date of Issue 2022-01-13 (SeMI) 

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