POSBIOTM--NER: a trainable biomedical named-entity recognition system
Computer applications in the biosciencesPublished 6 April 2005Open access
Yu Song, Edward Kim, G. G. Lee, Byoung-Kee Yi
Citations35
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Abstract
SUMMARY: POSBIOTM-NER is a trainable biomedical named-entity recognition system. POSBIOTM-NER can be automatically trained and adapted to new datasets without performance degradation, using CRF (conditional random field) machine learning techniques and automatic linguistic feature analysis. Currently, we have trained our system on three different datasets. GENIA-NER was trained based on GENIA Corpus, GENE-NER based on BioCreative data and GPCR-NER based on our own POSBIOTM/NE corpus, respectively, which would be used in GPCR-related pathway extraction.
Keywords
Computer ScienceBiochemistry, Genetics and Molecular Biology
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