Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task

Crossing the “Cookie Theft” Corpus Chasm: Applying What BERT Learns From Outside Data to the ADReSS Challenge Dementia Detection Task

Large amounts of labeled data are a prerequisite to training accurate and reliable machine learning models. However, in the medical domain in particular, this is also a stumbling block as accurately labeled data are hard to obtain. DementiaBank, a publicly available corpus of spontaneous speech samp...

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Bibliographic Details
Main Authors: Yue Guo, Changye Li, Carol Roan, Serguei Pakhomov, Trevor Cohen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Computer Science
Subjects:
dementia diagnosis
Alzheimer's disease
natural language processing
BERT
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2021.642517/full

Internet

https://www.frontiersin.org/articles/10.3389/fcomp.2021.642517/full

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