Biomedical named entity recognition using two-phase model based on SVMs

Abstract

Named entity (NE) recognition has become one of the most fundamental tasks in biomedical knowledge acquisition. In this paper, we present a two-phase named entity recognizer based on SVMs, which consists of a boundary identification phase and a semantic classification phase of named entities. When adapting SVMs to named entity recognition, the multi-class… (More)
DOI: 10.1016/j.jbi.2004.08.012

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