Kathleen C. Fraser
Cited by
Cited by
Linguistic features identify Alzheimer’s disease in narrative speech
KC Fraser, JA Meltzer, F Rudzicz
Journal of Alzheimer's Disease 49 (2), 407-422, 2016
Automated classification of primary progressive aphasia subtypes from narrative speech transcripts
KC Fraser, JA Meltzer, NL Graham, C Leonard, G Hirst, SE Black, ...
cortex 55, 43-60, 2014
Using text and acoustic features to diagnose progressive aphasia and its subtypes.
KC Fraser, F Rudzicz, E Rochon
Interspeech, 2177-2181, 2013
Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias
M Yancheva, KC Fraser, F Rudzicz
Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing …, 2015
Automatic speech recognition in the diagnosis of primary progressive aphasia
KC Fraser, F Rudzicz, N Graham, E Rochon
Proceedings of the fourth workshop on speech and language processing for …, 2013
Speech Recognition in Alzheimer's Disease and in its Assessment.
L Zhou, KC Fraser, F Rudzicz
Interspeech, 1948-1952, 2016
Multilingual word embeddings for the assessment of narrative speech in mild cognitive impairment
KC Fraser, KL Fors, D Kokkinakis
Computer Speech & Language 53, 121-139, 2019
An analysis of eye-movements during reading for the detection of mild cognitive impairment
KC Fraser, KL Fors, D Kokkinakis, A Nordlund
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
Detecting late-life depression in Alzheimer’s disease through analysis of speech and language
KC Fraser, F Rudzicz, G Hirst
Proceedings of the Third Workshop on Computational Linguistics and Clinical …, 2016
Detecting semantic changes in Alzheimer’s disease with vector space models
KC Fraser, G Hirst
Proceedings of LREC 2016 Workshop. Resources and Processing of Linguistic …, 2016
Predicting MCI status from multimodal language data using cascaded classifiers
KC Fraser, K Lundholm Fors, M Eckerström, F Öhman, D Kokkinakis
Frontiers in aging neuroscience 11, 205, 2019
Comparison of different feature sets for identification of variants in progressive aphasia
KC Fraser, G Hirst, N Graham, JA Meltzer, SE Black, E Rochon
Proceedings of the Workshop on Computational Linguistics and Clinical …, 2014
White matter disruption and connected speech in non-fluent and semantic variants of primary progressive aphasia
K Marcotte, NL Graham, KC Fraser, JA Meltzer, DF Tang-Wai, TW Chow, ...
Dementia and geriatric cognitive disorders extra 7 (1), 52-73, 2017
Sentence segmentation of aphasic speech
KC Fraser, N Ben-David, G Hirst, NL Graham, E Rochon
Extracting UMLS concepts from medical text using general and domain-specific deep learning models
KC Fraser, I Nejadgholi, B De Bruijn, M Li, A LaPlante, KZE Abidine
Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019
Automated syntactic analysis of language abilities in persons with mild and subjective cognitive impairment
K Lundholm Fors, K Fraser, D Kokkinakis
Building Continents of Knowledge in Oceans of Data: The Future of Co-Created …, 2018
Talk2Me: Automated linguistic data collection for personal assessment
M Komeili, C Pou-Prom, D Liaqat, KC Fraser, M Yancheva, F Rudzicz
PloS one 14 (3), e0212342, 2019
Improving the sensitivity and specificity of MCI screening with linguistic information
KC Fraser, K Lundholm Fors, M Eckerström, C Themistocleous, ...
LREC workshop: RaPID-2. Miyazaki, Japan, 2018
Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling
KC Fraser, N Linz, B Li, KL Fors, F Rudzicz, A König, J Alexandersson, ...
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Using statistical parsing to detect agrammatic aphasia
KC Fraser, G Hirst, JA Meltzer, JE Mack, CK Thompson
Proceedings of BioNLP 2014, 134-142, 2014
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