Discussion on the relationship between elders’ daily conversations and cognitive executive function: using word vectors and regression models

Ming-Hsiang Su, Yu-An Ko, Man-Ying Wang


Abstract
As the average life expectancy of Chinese people rises, the health care problems of the elderly are becoming more diverse, and the demand for long-term care is also increasing. Therefore, how to help the elderly have a good quality of life and maintain their dignity is what we need to think about. This research intends to explore the characteristics of natural language of normal aging people through a deep model. First, we collect information through focus groups so that the elders can naturally interact with other participants in the process. Then, through the word vector model and regression model, an executive function prediction model based on dialogue data is established to help understand the degradation trajectory of executive function and establish an early warning.
Anthology ID:
2021.rocling-1.8
Volume:
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)
Month:
October
Year:
2021
Address:
Taoyuan, Taiwan
Editors:
Lung-Hao Lee, Chia-Hui Chang, Kuan-Yu Chen
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
58–62
Language:
URL:
https://aclanthology.org/2021.rocling-1.8
DOI:
Bibkey:
Cite (ACL):
Ming-Hsiang Su, Yu-An Ko, and Man-Ying Wang. 2021. Discussion on the relationship between elders’ daily conversations and cognitive executive function: using word vectors and regression models. In Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021), pages 58–62, Taoyuan, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Discussion on the relationship between elders’ daily conversations and cognitive executive function: using word vectors and regression models (Su et al., ROCLING 2021)
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PDF:
https://aclanthology.org/2021.rocling-1.8.pdf