@inproceedings{fe405f4544824963af6b145276874170,
title = "MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept Extraction in SemEval 2014 Task 7",
abstract = "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 mentions of concepts that belong to the UMLS (Unified Medical Language System) semantic group disorders, and mapping each disorder to a unique UMLS CUI (Concept Unique Identifier), if possible. For identifying and mapping disorders belonging to the UMLS meta thesaurus, we explore two tools: Metamap and T-mapper. Additionally, a Named Entity Recognition system, based on a maximum entropy model, was implemented to identify other disorders.",
author = "Alejandro Riveros and Maria De-Arteaga and Gonz{\'a}lez, \{Fabio A.\} and Sergio Jimenez and Henning M{\"u}ller",
note = "Publisher Copyright: {\textcopyright} 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings. All rights reserved.; 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014 ; Conference date: 23-08-2014 Through 24-08-2014",
year = "2014",
doi = "10.3115/v1/s14-2073",
language = "English",
series = "8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "424--427",
editor = "Preslav Nakov and Torsten Zesch",
booktitle = "8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings",
}