MedPost: a part-of-speech tagger for bioMedical text.
CONCLUSIONS
We present a part-of-speech tagger that achieves over 97% accuracy on MEDLINE citations.


BACKGROUND
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
Smith
L
L
Computational Biology Branch, National Center for Biotechnology Information.
Rindflesch
T
T
Wilbur
W J
WJ
D000043:Abstracting and Indexing / Q000379:methods*; D001695:Biology / Q000379:methods; D004282:Documentation / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D016239:MEDLINE; D008511:Medicine / Q000379:methods; D009323:Natural Language Processing; D010506:Periodicals as Topic; D012660:Semantics; D012984:Software; D018875:Vocabulary, Controlled