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...
Main Authors: | Yue Guo, Changye Li, Carol Roan, Serguei Pakhomov, Trevor Cohen |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-04-01
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Series: | Frontiers in Computer Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2021.642517/full |
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