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Speech and language patterns in autism: towards natural language processing as a research and clinical tool
Speech and language differences have long been described as important characteristics of
autism spectrum disorder (ASD). Linguistic abnormalities range from prosodic differences in …
autism spectrum disorder (ASD). Linguistic abnormalities range from prosodic differences in …
Integrating neuropsychological research on autism and psychosis to improve clinical outcomes
Although the clinical phenotypes of autism and schizophrenia spectrum disorders are
considered distinct, there are substantial areas of overlap between both diagnoses. The two …
considered distinct, there are substantial areas of overlap between both diagnoses. The two …
A comparison of natural language processing methods for automated coding of motivational interviewing
Motivational interviewing (MI) is an efficacious treatment for substance use disorders and
other problem behaviors. Studies on MI fidelity and mechanisms of change typically use …
other problem behaviors. Studies on MI fidelity and mechanisms of change typically use …
Autism spectrum disorder detection from semi-structured and unstructured medical data
Autism spectrum disorder (ASD) is a developmental disorder that significantly impairs
patients' ability to perform normal social interaction and communication. Moreover, the …
patients' ability to perform normal social interaction and communication. Moreover, the …
Evaluating atypical language in autism using automated language measures
Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome
and costly. Better language outcome measures are needed. Using language transcripts, we …
and costly. Better language outcome measures are needed. Using language transcripts, we …
Automated social skills trainer
Social skills training is a well-established method to decrease human anxiety and discomfort
in social interaction, and acquire social skills. In this paper, we attempt to automate the …
in social interaction, and acquire social skills. In this paper, we attempt to automate the …
Exploring autism spectrum disorders using HLT
The phenotypic complexity of Autism Spectrum Disorder motivates the application of modern
computational methods to large collections of observational data, both for improved clinical …
computational methods to large collections of observational data, both for improved clinical …
Teaching social communication skills through human-agent interaction
There are a large number of computer-based systems that aim to train and improve social
skills. However, most of these do not resemble the training regimens used by human …
skills. However, most of these do not resemble the training regimens used by human …
[PDF][PDF] Detecting language impairments in autism: A computational analysis of semi-structured conversations with vector semantics
Many of the most significant impairments faced by individuals with autism spectrum disorder
(ASD) relate to pragmatic (ie social) language. There is also evidence that pragmatic …
(ASD) relate to pragmatic (ie social) language. There is also evidence that pragmatic …
Similarity measures for quantifying restrictive and repetitive behavior in conversations of autistic children
Restrictive and repetitive behavior (RRB) is a core symptom of autism spectrum disorder
(ASD) and are manifest in language. Based on this, we expect children with autism to talk …
(ASD) and are manifest in language. Based on this, we expect children with autism to talk …