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1
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text ...
Novikova, Jekaterina. - : arXiv, 2021
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2
Augmenting BERT Carefully with Underrepresented Linguistic Features ...
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3
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection ...
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4
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power ...
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5
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge ...
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6
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation ...
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7
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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9
RankME: Reliable Human Ratings for Natural Language Generation ...
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10
Findings of the E2E NLG Challenge ...
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11
The E2E Dataset: New Challenges For End-to-End Generation ...
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