Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation

Anthology ID:: P16-1096
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:: 1014–1023
Language:
URL:: https://aclanthology.org/P16-1096
DOI:: 10.18653/v1/P16-1096
Bibkey:
Cite (ACL):: Nut Limsopatham and Nigel Collier. 2016. Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1014–1023, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):: Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation (Limsopatham & Collier, ACL 2016)
Copy Citation:
PDF:: https://preview.aclanthology.org/nschneid-patch-4/P16-1096.pdf
Dataset:: P16-1096.Datasets.zip