S. Auriacombe, N. Lechevallier, H. Amieva, S. Harston, N. Raoux et al., A Longitudinal Study of Quantitative and Qualitative Features of Category Verbal Fluency in Incident Alzheimer???s Disease Subjects: Results from the PAQUID Study, Dementia and Geriatric Cognitive Disorders, vol.16, issue.4, pp.260-266, 2006.
DOI : 10.1001/jama.275.7.528

M. Baroni, S. Bernardini, A. Ferraresi, and E. Zanchetta, The WaCky wide web: a collection of very large linguistically processed web-crawled corpora, Language Resources and Evaluation, vol.10, issue.4, pp.209-226, 2009.
DOI : 10.1007/978-94-010-0844-0

M. F. Bonner, S. Ash, and M. Grossman, The New Classification of Primary Progressive Aphasia into Semantic, Logopenic, or Nonfluent/Agrammatic Variants, Current Neurology and Neuroscience Reports, vol.68, issue.Pt 7, pp.484-490, 2010.
DOI : 10.1001/archneur.1990.00530120075013

E. Gabrilovich and S. Markovitch, Wikipedia-based Semantic Interpretation for Natural Language Processing, J. Artif. Int. Res, vol.34, issue.1, pp.443-498, 2009.

R. G. Gomez and D. A. White, Using verbal fluency to detect very mild dementia of the Alzheimer type, Archives of Clinical Neuropsychology, vol.21, issue.8, pp.771-775, 2006.
DOI : 10.1016/j.acn.2006.06.012

P. J. Gruenewald and G. R. Lockhead, The free recall of category examples., Journal of Experimental Psychology: Human Learning & Memory, vol.6, issue.3, pp.225-240, 1980.
DOI : 10.1037/0278-7393.6.3.225

T. T. Hills, M. N. Jones, and P. M. Todd, Optimal foraging in semantic memory., Psychological Review, vol.119, issue.2, pp.431-440, 2012.
DOI : 10.1037/a0027373
URL : http://141.14.165.6/CogSci09/papers/110/paper110.pdf

C. Hsu, C. Chang, and C. Jen-lin, A Practical Guide to Support Vector Classification, 2010.

M. N. Jones and D. J. Mewhort, Representing word meaning and order information in a composite holographic lexicon., Psychological Review, vol.114, issue.1, pp.1-37, 2007.
DOI : 10.1037/0033-295X.114.1.1

A. Karakostas, A. Briassouli, K. Avgerinakis, I. Kompatsiaris, and M. Tsolaki, The Dem@Care Experiments and Datasets: a Technical Report, 2014.

K. Ledoux, T. D. Vannorsdall, E. J. Pickett, L. V. Bosley, B. Gordon et al., Capturing additional information about the organization of entries in the lexicon from verbal fluency productions, Journal of Clinical and Experimental Neuropsychology, vol.41, issue.6, pp.205-220, 2014.
DOI : 10.3758/BF03200763

T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, Distributed Representations of Words and Phrases and their Compositionality, Advances in Neural Information Processing Systems 26, pp.3111-3119, 2013.

K. D. Mueller, R. L. Koscik, A. Larue, L. R. Clark, B. Hermann et al., Verbal Fluency and Early Memory Decline: Results from the Wisconsin Registry for Alzheimer's Prevention, Archives of Clinical Neuropsychology, vol.30, issue.5, p.448, 2015.
DOI : 10.1093/arclin/acv030

S. V. Pakhomov, L. Eberly, and D. Knopman, Characterizing cognitive performance in a large longitudinal study of aging with computerized semantic indices of verbal fluency, Neuropsychologia, vol.89, pp.42-56, 2016.
DOI : 10.1016/j.neuropsychologia.2016.05.031

N. Raoux, H. Amieva, M. L. Goff, S. Auriacombe, L. Carcaillon et al., Clustering and switching processes in semantic verbal fluency in the course of Alzheimer's disease subjects: Results from the PAQUID longitudinal study, Cortex, vol.44, issue.9, pp.1188-1196, 2008.
DOI : 10.1016/j.cortex.2007.08.019

P. H. Robert, V. Lafont, I. Medecin, L. Berthet, S. Thauby et al., Clustering and switching strategies in verbal fluency tasks: Comparison between schizophrenics and healthy adults, Journal of the International Neuropsychological Society, vol.4, issue.06, pp.539-546, 1998.
DOI : 10.1017/S1355617798466025

J. Tröger, N. Linz, J. Alexandersson, A. König, and P. Robert, Automated Speech-based Screening for Alzheimer's Disease in a Care Service Scenario, Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017.

A. K. Troyer, M. Moscovitch, and G. Winocur, Clustering and switching as two components of verbal fluency: Evidence from younger and older healthy adults., Neuropsychology, vol.11, issue.1, p.138, 1997.
DOI : 10.1037/0894-4105.11.1.138

A. K. Troyer, M. Moscovitch, G. Winocur, M. P. Alexander, and D. Stuss, Clustering and switching on verbal fluency: the effects of focal frontal- and temporal-lobe lesions, Neuropsychologia, vol.36, issue.6, pp.499-504, 1998.
DOI : 10.1016/S0028-3932(97)00152-8

A. K. Troyer, M. Moscovitch, G. Winocur, L. Leach, and M. Freedman, Clustering and switching on verbal fluency tests in Alzheimer's and Parkinson's disease, Journal of the International Neuropsychological Society, vol.4, issue.2, pp.137-143, 1998.
DOI : 10.1017/S1355617798001374

D. L. Woods, J. M. Wyma, T. J. Herron, and E. W. Yund, Computerized Analysis of Verbal Fluency: Normative Data and the Effects of Repeated Testing, Simulated Malingering, and Traumatic Brain Injury, PLOS ONE, vol.9, issue.3, pp.1-37, 2016.
DOI : 10.1371/journal.pone.0166439.s003