Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  reports on Task 1b of the 2015 CLEF eHealth evaluation lab which extended the previous information extraction tasks of ShARe/CLEF eHealth evaluation labs by considering ten types of en- tities including disorders, that re to be extracted from biomedical text in French. The task consisted of two phases: entity recognition (phase 1), in which participants could supply plain or normalized entities, and entity normalization (phase 2). The entities to be extracted re dened according to Semantic Groups in the Unied
['Aurélie Névéol', 'Cyril Grouin', 'Xavier Tannier', 'Thierry Hamon', 'Liadh Kelly', 'Lorraine Goeuriot', 'Pierre Zweigenbaum']
I am writing a research paper on a idea CLEF eHealth Evaluation Lab 2015 Task 1b: clinical named entity recognition
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