We analyze the information content of narrative speech samples from individuals with mild
cognitive impairment (MCI), in both English and Swedish, using a combination of supervised …

Background: Although memory impairment is the main symptom of Alzheimer's disease
(AD), language impairment can be an important marker. Relatively few studies of language …

Numerous studies have shown that language impairments, particularly semantic deficits, are
evident in the narrative speech of people with Alzheimer's disease from the earliest stages of …

Here we seek to automatically identify Hungarian patients suffering from mild cognitive
impairment (MCI) based on linguistic features collected from their speech transcripts. Our …

Narrative, spontaneous speech can provide a valuable source of information about an
individual's cognitive state. Unfortunately, clinical transcription of this type of data is typically …

Language impairment is an important biomarker of neurodegenerative disorders such as
Alzheimer's disease (AD). Artificial intelligence (AI), particularly natural language processing …

Advances in automatic text classification have been necessitated by the rapid increase in
the availability of digital documents. Machine learning (ML) algorithms can 'learn'from data …

This paper describes the Verisk submission to The ADReSS Challenge [1]. We analyze the
text data at both the word level and phoneme level, which leads to our best-performing …

Alzheimer's disease (AD) is a pervasive neurodegenerative disease that affects millions
worldwide and is most prominently associated with broad cognitive decline, including …

Semantic deficit is a symptom of language impairment in Alzheimer's disease (AD). We
present a generalizable method for automatic generation of information content units (ICUs) …