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Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks
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,doi:10.18653/v1/n18-2037 dblp:conf/naacl/PaulaWIV18 fatcat:iw7zovumandi3csccicmzim4pa