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On the Use of Linguistic Features for the Evaluation of Generative Dialogue Systems ...
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TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction ...
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Quantifying the Task-Specific Information in Text-Based Classifications ...
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An {E}valuation of {D}isentangled {R}epresentation {L}earning for {T}exts ...
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How is BERT surprised? Layerwise detection of linguistic anomalies ...
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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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Identification of primary and collateral tracks in stuttered speech
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In: LREC 2020 - 12th Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-02959454 ; LREC 2020 - 12th Conference on Language Resources and Evaluation, May 2020, Marseille, France (2020)
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Semantic coordinates analysis reveals language changes in the AI field ...
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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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An information theoretic view on selecting linguistic probes ...
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Examining the rhetorical capacities of neural language models ...
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A textual analysis of US corporate social responsibility reports
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Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power ...
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Representation Learning for Discovering Phonemic Tone Contours ...
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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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