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--- title: "Guo 2021" source: https://www.jemoka.com/posts/kbhguo_2021/ tags: [ntj] --- DOI: 10.3389/fcomp.2021.642517 One-Liner Used WLS data to augment CTP from ADReSS Challenge and trained it on a BERT with good results. Novelty Used WLS data with CTP task to augment ADReSS DementiaBank data Notable Methods WLS data is not labeled, so authors used Semantic Verbal Fluency tests that come with WLS to make a presumed conservative diagnoses. Therefore, control data is more interesting: Key Figs Table 2 Data-aug of ADReSS Challenge data with WSL controls (no presumed AD) trained with a BERT. As expected the conservative control data results in better ferf New Concepts ADReSS Challenge is small so use WLS to augment it