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Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia ...
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Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia ...
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Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text ...
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Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia
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In: Alzheimers Res Ther (2021)
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Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech
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In: Front Aging Neurosci (2021)
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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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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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The E2E Dataset: New Challenges For End-to-End Generation ...
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Tutoring Robots
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In: IFIP Advances in Information and Communication Technology ; 9th International Summer Workshop on Multimodal Interfaces (eNTERFACE) ; https://hal.inria.fr/hal-01350740 ; 9th International Summer Workshop on Multimodal Interfaces (eNTERFACE), Jul 2013, Lisbon, Portugal. pp.80-113, ⟨10.1007/978-3-642-55143-7_4⟩ (2013)
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