Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias - ACL Anthology

This is an internal, incomplete preview of a proposed change to the ACL Anthology. For efficiency reasons, we generate only three BibTeX files per volume, and the preview may be incomplete in other ways, or contain mistakes. Do not treat this content as an official publication.

Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias

Maria Yancheva, Kathleen Fraser, Frank Rudzicz

[How to correct problems with metadata yourself]

Anthology ID:: W15-5123
Volume:: Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies
Month:: September
Year:: 2015
Address:: Dresden, Germany
Editors:: Jan Alexandersson, Ercan Altinsoy, Heidi Christensen, Peter Ljunglöf, François Portet, Frank Rudzicz
Venue:: SLPAT
SIG:: SIGSLPAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 134–139
Language:
URL:: https://aclanthology.org/W15-5123
DOI:: 10.18653/v1/W15-5123
Bibkey:
Cite (ACL):: Maria Yancheva, Kathleen Fraser, and Frank Rudzicz. 2015. Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias. In Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies, pages 134–139, Dresden, Germany. Association for Computational Linguistics.
Cite (Informal):: Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias (Yancheva et al., SLPAT 2015)
Copy Citation:
PDF:: https://preview.aclanthology.org/teach-a-man-to-fish/W15-5123.pdf