SVM-based biomedical name entity recognition

Name entity recognition is a fundamental task in biomedical data mining. This paper presents a Support Vector Machine-based method to identify name entity in biomedical texts. In this study, a rich set of features, including local features, whole text features, and external resource features are used. And different features and combinations of features are evaluated. Moreover, the abbreviation recognition module and filter module are introduced to improve performance of the system. The experimental results show that the system has better performance.