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Found 14 papers, 0 papers with code
Extraction and Classification of Acoustic Features from Italian Speaking Children with Autism Spectrum Disorders.
Autism Spectrum Disorders (ASD) are a group of complex developmental conditions whose effects and severity show high intraindividual variability.
Assessing Language Disorders using Artificial Intelligence: a Paradigm Shift
Speech, language, and communication deficits are present in most neurodegenerative syndromes.
Temporal Analysis of the Semantic Verbal Fluency Task in Persons with Subjective and Mild Cognitive Impairment
Persons with subjective cognitive impairment had a higher word count during the last intervals, but produced words of the same lexical frequencies.
Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling
There is growing evidence that changes in speech and language may be early markers of dementia, but much of the previous NLP work in this area has been limited by the size of the available datasets.
An analysis of eye-movements during reading for the detection of mild cognitive impairment
We present a machine learning analysis of eye-tracking data for the detection of mild cognitive impairment, a decline in cognitive abilities that is associated with an increased risk of developing dementia.
HFST-SweNER --- A New NER Resource for Swedish
Named entity recognition (NER) is a knowledge-intensive information extraction task that is used for recognizing textual mentions of entities that belong to a predefined set of categories, such as locations, organizations and time expressions.
Semantic Role Labeling with the Swedish FrameNet
We present the first results on semantic role labeling using the Swedish FrameNet, which is a lexical resource currently in development.
