| Presentation | 2022-01-21 [Short Paper] Dementia Detection Using Two Perplexities Methods with Part-of-Speech Tags Chuheng Zheng, Mondher Bouazizi, Tomoaki Ohtsuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | dementia detectionnatural language processingpart-of-speech tagslanguage modelperplexity |
| Paper # | SeMI2021-77 |
| Date of Issue | 2022-01-13 (SeMI) |
| Conference Information | |
| Committee | SeMI |
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| Conference Date | 2022/1/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Koji Yamamoto(Kyoto Univ.) |
| Vice Chair | Kazuya Monden(Hitachi) / Yasunori Owada(NICT) |
| Secretary | Kazuya Monden(Cyber Univ.) / Yasunori Owada(Waseda Univ.) |
| Assistant | Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Sensor Network and Mobile Intelligence |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Dementia Detection Using Two Perplexities Methods with Part-of-Speech Tags |
| Sub Title (in English) | |
| Keyword(1) | dementia detectionnatural language processingpart-of-speech tagslanguage modelperplexity |
| 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.) |
| Date | 2022-01-21 |
| Paper # | SeMI2021-77 |
| Volume (vol) | vol.121 |
| Number (no) | SeMI-333 |
| Page | pp.pp.98-102(SeMI), |
| #Pages | 5 |
| Date of Issue | 2022-01-13 (SeMI) |