Vector-space topic models for detecting Alzheimer’s disease

Maria Yancheva, Frank Rudzicz


Anthology ID:
P16-1221
Volume:
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Katrin Erk, Noah A. Smith
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2337–2346
Language:
URL:
https://aclanthology.org/P16-1221
DOI:
10.18653/v1/P16-1221
Bibkey:
Cite (ACL):
Maria Yancheva and Frank Rudzicz. 2016. Vector-space topic models for detecting Alzheimer’s disease. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2337–2346, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Vector-space topic models for detecting Alzheimer’s disease (Yancheva & Rudzicz, ACL 2016)
Copy Citation:
PDF:
https://aclanthology.org/P16-1221.pdf