Reducing VSM data sparseness by generalizing contexts: application to health text mining

Amandine Périnet, Thierry Hamon


Anthology ID:
W14-1114
Volume:
Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi)
Month:
April
Year:
2014
Address:
Gothenburg, Sweden
Venues:
Louhi | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
90–95
Language:
URL:
https://aclanthology.org/W14-1114
DOI:
10.3115/v1/W14-1114
Bibkey:
Cite (ACL):
Amandine Périnet and Thierry Hamon. 2014. Reducing VSM data sparseness by generalizing contexts: application to health text mining. In Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi), pages 90–95, Gothenburg, Sweden. Association for Computational Linguistics.
Cite (Informal):
Reducing VSM data sparseness by generalizing contexts: application to health text mining (Périnet & Hamon, 2014)
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PDF:
https://aclanthology.org/W14-1114.pdf