MedPost: a part-of-speech tagger for bioMedical text 论文
2004Bioinformatics引用 225顶会
Natural Language Processing TechniquesTopic ModelingBiomedical Text Mining and Ontologies
摘要
SUMMARY: We present a part-of-speech tagger that achieves over 97% accuracy on MEDLINE citations. AVAILABILITY: Software, documentation and a corpus of 5700 manually tagged sentences are available at ftp://ftp.ncbi.nlm.nih.gov/pub/lsmith/MedPost/medpost.tar.gz