Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: We used MetaMap and YTEX as a basis for the construction of two separate systems to participate in the 2013 ShARe/CLEF eHealth Task 1[9], the recognition of clinical concepts. No modifications were directly made to these systems, but output concepts were filtered using stop concepts, stop concept text and UMLS semantic type. Concept boundaries were also adjusted using a small collection of rules to increase precision on the strict task. Overall MetaMap had better performance than YTEX on the strict task, primarily due to a 20% performance improvement in precision. In the relaxed task YTEX had better performance in both precision and recall giving it an overall F-Score 4.6% higher than MetaMap on the test data. Our results also indicated a 1.3% higher accuracy for YTEX in UMLS CUI mapping.

Evaluation of YTEX and MetaMap for clinical concept recognition