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论文类型：期刊论文

发表时间：2007-11-01

发表刊物：JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE

收录刊物：SCIE、EI、Scopus

卷号：4

期号：7-8

页面范围：1426-1431

ISSN号：1546-1955

关键字：text mining; bio-entity recognition; Conditional Random Fields

摘要：To extract biomedical information about bio-entities from the huge amount of biomedical literature, the first key step is recognizing the bio-entity names in literature, which remains a challenging task due to the irregularities and ambiguities in bio-entities nomenclature. Currently the performance of the most popular methods, machine learning techniques, still have much room for improvement. This paper presents a Conditional Random Fields-based bio-entity name recognition approach and studies the methods of improving the performance by exploiting contextual cues and other post-processing methods. Experiment results show that these methods improve Conditional Random Fields-based recognition performance.