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- Title
POSBIOTM-NER: a trainable biomedical named-entity recognition system.
- Authors
Song, Yu; Kim, Eunju; Lee, Gary Geunbae; Yi, Byoung-Kee
- Abstract
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.
- Publication
Bioinformatics (Oxford, England), 2005, Vol 21, Issue 11, p2794
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bti414