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Found 7 papers, 1 papers with code
Identifying stable speech-language markers of autism in children: Preliminary evidence from a longitudinal telephony-based study
This study examined differences in linguistic features produced by autistic and neurotypical (NT) children during brief picture descriptions, and assessed feature stability over time.
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates
We formulate expert intervention as allowing the agent to execute option templates before learning an implementation.
Using natural conversations to classify autism with limited data: Age matters
Spoken language ability is highly heterogeneous in Autism Spectrum Disorder (ASD), which complicates efforts to identify linguistic markers for use in diagnostic classification, clinical characterization, and for research and clinical outcome measurement.
Computational Linguistics for Enhancing Scientific Reproducibility and Reducing Healthcare Inequities
Computational linguistics holds promise for improving scientific integrity in clinical psychology, and for reducing longstanding inequities in healthcare access and quality.
Oral-Motor and Lexical Diversity During Naturalistic Conversations in Adults with Autism Spectrum Disorder
Computational studies of language in ASD provide support for the existence of an underlying dimension of restriction that emerges during a conversation.
Building Language Resources for Exploring Autism Spectrum Disorders
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that would benefit from low-cost and reliable improvements to screening and diagnosis.
