UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.

Daniel Sanchez-Cisneros


Anthology ID:
S13-2103
Volume:
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Month:
June
Year:
2013
Address:
Atlanta, Georgia, USA
Editors:
Suresh Manandhar, Deniz Yuret
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
617–621
Language:
URL:
https://aclanthology.org/S13-2103
DOI:
Bibkey:
Cite (ACL):
Daniel Sanchez-Cisneros. 2013. UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), pages 617–621, Atlanta, Georgia, USA. Association for Computational Linguistics.
Cite (Informal):
UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts. (Sanchez-Cisneros, SemEval 2013)
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PDF:
https://aclanthology.org/S13-2103.pdf