Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2016Embargo end date: 22 Jun 2016 United Kingdom Publisher:Association for Computational Linguistics (ACL)Journal:Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Authors: Limsopatham, Nut; Collier, Nigel;

doi: 10.18653/v1/p16-1096 , 10.5281/zenodo.55013 , 10.17863/cam.378

Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation

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Abstract

The TwADR-L and AskAPatient datasets for reproducing experiments in the paper entitled "Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation" to be published at ACL 2016: the 54th Annual Meeting of the Association for Computational Linguistics — August 7–12, 2016 — Berlin, Germany.

Country

United Kingdom

Related Organizations

University of Cambridge
United Kingdom

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