Search Results for author: Shahla Farzana

Found 3 papers, 1 papers with code

How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection

1 code implementation BioNLP (ACL) 2022 Shahla Farzana, Ashwin Deshpande, Natalie Parde

Automatic speech recognition (ASR) systems usually incorporate postprocessing mechanisms to remove disfluencies, facilitating the generation of clear, fluent transcripts that are conducive to many downstream NLP tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Are Interaction Patterns Helpful for Task-Agnostic Dementia Detection? An Empirical Exploration

no code implementations SIGDIAL (ACL) 2022 Shahla Farzana, Natalie Parde

Dementia often manifests in dialog through specific behaviors such as requesting clarification, communicating repetitive ideas, and stalling, prompting conversational partners to probe or otherwise attempt to elicit information.

Sentence Sentence Embeddings

Modeling Dialogue in Conversational Cognitive Health Screening Interviews

no code implementations LREC 2020 Shahla Farzana, Mina Valizadeh, Natalie Parde

To facilitate the development of such an agent, we propose an annotation schema for assigning dialogue act labels to utterances in patient-interviewer conversations collected as part of a clinically-validated cognitive health screening task.

Dialogue Act Classification

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