Speech and language patterns in autism: towards natural language processing as a research and clinical tool

J Trayvick, SB Barkley, A McGowan, A Srivastava… - Psychiatry …, 2024 - Elsevier
Speech and language differences have long been described as important characteristics of
autism spectrum disorder (ASD). Linguistic abnormalities range from prosodic differences in …

Integrating neuropsychological research on autism and psychosis to improve clinical outcomes

R Schalbroeck, JH Foss-Feig, A Jutla… - Nature Reviews …, 2023 - nature.com
Although the clinical phenotypes of autism and schizophrenia spectrum disorders are
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

M Tanana, KA Hallgren, ZE Imel, DC Atkins… - Journal of substance …, 2016 - Elsevier
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 …

Autism spectrum disorder detection from semi-structured and unstructured medical data

J Yuan, C Holtz, T Smith, J Luo - EURASIP Journal on Bioinformatics and …, 2016 - Springer
Autism spectrum disorder (ASD) is a developmental disorder that significantly impairs
patients' ability to perform normal social interaction and communication. Moreover, the …

Evaluating atypical language in autism using automated language measures

AC Salem, H MacFarlane, JR Adams, GO Lawley… - Scientific reports, 2021 - nature.com
Measurement of language atypicalities in Autism Spectrum Disorder (ASD) is cumbersome
and costly. Better language outcome measures are needed. Using language transcripts, we …

Automated social skills trainer

H Tanaka, S Sakti, G Neubig, T Toda… - Proceedings of the 20th …, 2015 - dl.acm.org
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 …

Exploring autism spectrum disorders using HLT

J Parish-Morris, M Liberman, N Ryant… - Proceedings of the …, 2016 - pmc.ncbi.nlm.nih.gov
The phenotypic complexity of Autism Spectrum Disorder motivates the application of modern
computational methods to large collections of observational data, both for improved clinical …

Teaching social communication skills through human-agent interaction

H Tanaka, S Sakriani, G Neubig, T Toda… - ACM Transactions on …, 2016 - dl.acm.org
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 …

[PDF][PDF] Detecting language impairments in autism: A computational analysis of semi-structured conversations with vector semantics

A Goodkind, M Lee, GE Martin, M Losh… - Proceedings of the …, 2018 - aclanthology.org
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 …

Similarity measures for quantifying restrictive and repetitive behavior in conversations of autistic children

M Rouhizadeh, R Sproat… - Proceedings of the …, 2015 - pmc.ncbi.nlm.nih.gov
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 …