SZTE-NLP: Clinical Text Analysis with Named Entity Recognition
Melinda Katona, Richárd Farkas · 2014
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. 1