Research Repository

Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks

Paula, Felipe and Wilkens, Rodrigo and Idiart, Marco and Villavicencio, Aline (2018) Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018-06-01 - 2018-06-06, New Orleans.

[img]
Preview
Text
document.pdf - Published Version

Download (192kB) | Preview

Abstract

Semantic Verbal Fluency tests have been used in the detection of certain clinical conditions, like Dementia. In particular, given a sequence of semantically related words, a large number of switches from one semantic class to another has been linked to clinical conditions. In this work, we investigate three similarity measures for automatically identify switches in semantic chains: semantic similarity from a manually constructed resource, and word association strength and semantic relatedness, both calculated from corpora. This information is used for building classifiers to distinguish healthy controls from clinical cases with early stages of Alzheimer’s Disease and MildCognitive Deficits. The overall results indicate that for clinical conditions the classifiers that use these similarity measures outperform those that use a gold standard taxonomy.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of NAACL-HLT 2018
Subjects: P Language and Literature > P Philology. Linguistics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 13 Feb 2019 16:37
Last Modified: 13 Feb 2019 17:15
URI: http://repository.essex.ac.uk/id/eprint/23000

Actions (login required)

View Item View Item