Bio-medical entity extraction using support vector machines
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Objective:Support vector machines (SVMs) have achieved state-of-the-art performance in several classification tasks. In this article we apply them to the identification and semantic annotation of scientific and technical terminology in the domain of molecular biology. This illustrates the extensibility of the traditional named entity task to special domains with large-scale terminologies such as those in medicine and related disciplines.
论文关键词:Text mining,Support vector machines,Machine learning,Multi-classifier,Natural language processing,Named entity,MEDLINE
论文评审过程:Received 13 December 2002, Revised 9 July 2004, Accepted 15 July 2004, Available online 7 December 2004.
论文官网地址:https://doi.org/10.1016/j.artmed.2004.07.019