title: MedPost: a part-of-speech tagger for bioMedical text.
abstract: 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
authors.affiliation: Computational Biology Branch, National Center for Biotechnology Information.
authors.forename: L
authors.initials: L
authors.lastname: Smith
authors.forename: T
authors.initials: T
authors.lastname: Rindflesch
authors.forename: W J
authors.initials: WJ
authors.lastname: Wilbur
mesh_terms: 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