SVM-Based Biological Named Entity Recognition Using Minimum Edit-Distance Feature Boosted by Virtual Examples

In this paper, we propose two indepentent solutions to resolve the problems of many different spelling variants and of lack of annotated corpus for training, which are two main difficulties in SVM(Support-Vector Machine) and other machine-learning based biological named entity recognition. To resolve the problem of spelling variants, we propose a use of… CONTINUE READING