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论文类型：期刊论文

发表时间：2008-06-01

发表刊物：Journal of Computational Information Systems

收录刊物：EI

卷号：4

期号：3

页面范围：931-938

ISSN号：15539105

摘要：With the rapid expansion of biomedical literatures, the demand for efficiently extracting biomedical information from the huge amount of literature resources is increasing rapidly. This paper presents a Conditional Random Fields based passage retrieval method that can extract variable length relevant passages. In this method Conditional Random Fields are used to label a set of observation sentence sequences based on which the variable length passages are extracted. Experiment result shows that the method can extract variable length passages in biomedical literature effectively.