By introducing the entity dictionary into the model of machine learning in the form of characteristics,this article proposes a method of gene-named entity recognition based on entity dictionary and machine learning and experiments on corpus GENIT 3.02.As indicated by the test results,after the characteristics of the entity dictionary are introduced,while a higher accuracy rate of entity recognition is obtained,the time complexity of CRFs recognition model is optimized and the system's recognition efficiency is enhanced.