POSBIOTM-NER: A Machine Learning Approach for Bio-Named Entity Recognition
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چکیده
Two main difficulties in SVM (Support-Vector Machine) and other machine-learning based biological named entity recognition are the existence of many different spelling variants and a lack of annotated corpus for training. Attempts are made to resolve these two difficulties respectively, which turn out to be rewarding. We automatically expand the annotated corpus in a fast, efficient, and easy way to achieve better results. In addition, we propose the use of edit-distance as a significant contributing feature for SVM.
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تاریخ انتشار 2004