International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
198 Biomedical Named Entity Recognition Using Second-Order Conditional Random Fields
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Biomedical named entity recognition (NER) is an important technique for biological information extraction. Here, we have proposed a model using machine learning where biological terms are recognized using second-order conditional random fields (CRFs). From our experiments with the JNLPBA 2004 dataset, the CRFs labeling model returns an F-score prediction value of almost 99%.