Scalable biomedical Named Entity Recognition: investigation of a database-supported SVM approach
by Mona Soliman Habib, Jugal Kalita
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 6, No. 2, 2010

Abstract: This paper explores scalability issues associated with the Named Entity Recognition problem in the biomedical publications domain using Support Vector Machines. The performance results using existing binary and multi-class SVMs with increasing training data are compared to results obtained using our new implementations. Our approach eliminates prior language or domain-specific knowledge and achieves good out-of-the-box accuracy measures comparable to those obtained using more complex approaches. The training time of multi-class SVMs is reduced by several orders of magnitude, which would make support vector machines a more viable and practical solution for real-world problems with large datasets.

Online publication date: Wed, 10-Mar-2010

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