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

Felipe Paula, Rodrigo Wilkens, Marco Idiart, Aline Villavicencio
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)  
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,
more » ... oth 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 Mild Cognitive Deficits. The overall results indicate that for clinical conditions the classifiers that use these similarity measures outperform those that use a gold standard taxonomy. Leo Breiman. 2001. Random forests. Machine learning 45(1):5-32. Kenneth Ward Church and Patrick Hanks. 1990. Word association norms, mutual information, and lexicography. Comput. Linguist. 16(1):22-29.
doi:10.18653/v1/n18-2037 dblp:conf/naacl/PaulaWIV18 fatcat:iw7zovumandi3csccicmzim4pa