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Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection. (arXiv:2210.16539v1 [cs.CL])
Nov. 1, 2022, 1:16 a.m. | Yi Wang, Jiajun Deng, Tianzi Wang, Bo Zheng, Shoukang Hu, Xunying Liu, Helen Meng
cs.CL updates on arXiv.org arxiv.org
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating
preventive care and to delay further progression. Speech based automatic AD
screening systems provide a non-intrusive and more scalable alternative to
other clinical screening techniques. Textual embedding features produced by
pre-trained language models (PLMs) such as BERT are widely used in such
systems. However, PLM domain fine-tuning is commonly based on the masked word
or sentence prediction costs that are inconsistent with the back-end AD
detection task. To this end, …
alzheimer's arxiv detection disease language language models prompt learning
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