Paper: SZTE-NLP: Clinical Text Analysis with Named Entity Recognition

ACL ID S14-2108
Title SZTE-NLP: Clinical Text Analysis with Named Entity Recognition
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper introduces our contribution to the SemEval-2014 Task 7 on ?Analysis of Clinical Text?. We implemented a sys- tem which combines MetaMap taggings and Illinois NER Tagger. MetaMap is de- veloped to link the text of medical doc- uments to the knowledge embedded in UMLS Metathesaurus. The UMLS con- tains a very rich lexicon while the promise of a NER system is to carry out context- sensitive tagging. Our system?s perfor- mance was 0.345 F-measure in terms of strict evaluation and 0.551 F-measure in terms of relaxed evaluation.