[HTML][HTML] Multilingual word embeddings for the assessment of narrative speech in mild cognitive impairment
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 …
cognitive impairment (MCI), in both English and Swedish, using a combination of supervised …
Linguistic features identify Alzheimer's disease in narrative speech
KC Fraser, JA Meltzer… - Journal of Alzheimer's …, 2016 - content.iospress.com
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 …
(AD), language impairment can be an important marker. Relatively few studies of language …
[PDF][PDF] Detecting semantic changes in Alzheimer's disease with vector space models
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 …
evident in the narrative speech of people with Alzheimer's disease from the earliest stages of …
[PDF][PDF] Detecting mild cognitive impairment by exploiting linguistic information from transcripts
Here we seek to automatically identify Hungarian patients suffering from mild cognitive
impairment (MCI) based on linguistic features collected from their speech transcripts. Our …
impairment (MCI) based on linguistic features collected from their speech transcripts. Our …
[PDF][PDF] Speech Recognition in Alzheimer's Disease and in its Assessment.
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 …
individual's cognitive state. Unfortunately, clinical transcription of this type of data is typically …
[HTML][HTML] Predicting dementia from spontaneous speech using large language models
Language impairment is an important biomarker of neurodegenerative disorders such as
Alzheimer's disease (AD). Artificial intelligence (AI), particularly natural language processing …
Alzheimer's disease (AD). Artificial intelligence (AI), particularly natural language processing …
Machine learning approaches to diagnosis and laterality effects in semantic dementia discourse
P Garrard, V Rentoumi, B Gesierich, B Miller… - Cortex, 2014 - Elsevier
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 …
the availability of digital documents. Machine learning (ML) algorithms can 'learn'from data …
[PDF][PDF] Multiscale System for Alzheimer's Dementia Recognition Through Spontaneous Speech.
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 …
text data at both the word level and phoneme level, which leads to our best-performing …
[HTML][HTML] Language impairment in Alzheimer's disease—robust and explainable evidence for ad-related deterioration of spontaneous speech through multilingual …
Alzheimer's disease (AD) is a pervasive neurodegenerative disease that affects millions
worldwide and is most prominently associated with broad cognitive decline, including …
worldwide and is most prominently associated with broad cognitive decline, including …
[PDF][PDF] Vector-space topic models for detecting Alzheimer's disease
M Yancheva, F Rudzicz - Proceedings of the 54th Annual Meeting …, 2016 - aclanthology.org
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) …
present a generalizable method for automatic generation of information content units (ICUs) …