Maximum Entropy Method in Recognizing Disease Named Phrase in Chinese

A method of recognizing disease named phrase in Chinese is proposed,based on a maximum entropy model.In the feature selection,domain ontology information is utilized as a kind of feature.With the suggested method,the disease named phrase recognition classifier has supervised learning(ability) and the ability of assimilating and utilizing domain knowledge.Experimental results showed a precision of recognition for disease named phrase at 89.7%,a recall of 87.6% and a F-measure of 88.64%.