Automatic prediction of linguistic decline in writings of subjects with degenerative dementia

Weissenbacher Davy, Johnson A. Travis, Wojtulewicz Laura, Amylou Dueck, Dona E Locke, Richard John Caselli, Gonzalez Graciela

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Given the limited success of medication in reversing the effects of Alzheimer's and other dementias, a lot of the neuroscience research has been focused on early detection, in order to slow the progress of the disease through different interventions. We propose a Natural Language Processing approach applied to descriptive writing to attempt to discriminate decline due to normal aging from decline due to predementia conditions. Within the context of a longitudinal study on Alzheimer's disease, we created a unique corpus of 201 descriptions of a control image written by subjects of the study. Our classifier, computing linguistic features, was able to discriminate normal from cognitively impaired patients to an accuracy of 86.1% using lexical and semantic irregularities found in their writing. This is a promising result towards elucidating the existence of a general pattern in linguistic deterioration caused by dementia that might be detectable from a subject's written descriptive language.

Original languageEnglish (US)
Title of host publication2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages1198-1207
Number of pages10
ISBN (Electronic)9781941643914
StatePublished - 2016
Event15th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - San Diego, United States
Duration: Jun 12 2016Jun 17 2016

Other

Other15th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016
CountryUnited States
CitySan Diego
Period6/12/166/17/16

ASJC Scopus subject areas

  • Computer Science Applications
  • Linguistics and Language
  • Language and Linguistics

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  • Cite this

    Davy, W., Travis, J. A., Laura, W., Dueck, A., Locke, D. E., Caselli, R. J., & Graciela, G. (2016). Automatic prediction of linguistic decline in writings of subjects with degenerative dementia. In 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference (pp. 1198-1207). Association for Computational Linguistics (ACL).