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Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text ...
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Augmenting BERT Carefully with Underrepresented Linguistic Features ...
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To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection ...
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Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power ...
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Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge ...
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Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation ...
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The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech ...
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8 |
Detecting cognitive impairments by agreeing on interpretations of linguistic features ...
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Deconfounding age effects with fair representation learning when assessing dementia ...
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RankME: Reliable Human Ratings for Natural Language Generation ...
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12 |
The E2E Dataset: New Challenges For End-to-End Generation ...
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