Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods

Maria Skeppstedt


Anthology ID:
E14-3003
Volume:
Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics
Month:
April
Year:
2014
Address:
Gothenburg, Sweden
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
21–30
Language:
URL:
https://aclanthology.org/E14-3003
DOI:
10.3115/v1/E14-3003
Bibkey:
Cite (ACL):
Maria Skeppstedt. 2014. Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods. In Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 21–30, Gothenburg, Sweden. Association for Computational Linguistics.
Cite (Informal):
Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods (Skeppstedt, EACL 2014)
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PDF:
https://aclanthology.org/E14-3003.pdf