Paper: MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7

ACL ID S14-2073
Title MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper describes our participation in task 7 of SemEval 2014, which focuses on analysis of clinical text. The task is divided into two parts: recognizing men- tions of concepts that belong to the UMLS (Unified Medical Language System) se- mantic group disorders, and mapping each disorder to a unique UMLS CUI (Concept Unique Identifier), if possible. For identi- fying and mapping disorders belonging to the UMLS meta thesaurus, we explore two tools: Metamap and T-mapper. Addition- ally, a Named Entity Recognition system, based on a maximum entropy model, was implemented to identify other disorders.