MedPost: a part-of-speech tagger for bioMedical text
BioinformaticsPublished 8 April 2004Open access
Larry Smith, Thomas C. Rindflesch, W. John Wilbur
Citations225
SJR quartileQ1
SJR score2.45
SNIP1.47
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A part-of-speech tagger that achieves over 97% accuracy on MEDLINE citations and a corpus of 5700 manually tagged sentences are presented.
Abstract
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
Keywords
Computer ScienceBiochemistry, Genetics and Molecular Biology
Proceedings of the IEEEA tutorial on hidden Markov models and selected applications in speech recognition
22,785 Citations1989L. R. Rabiner
Building a Large Annotated Corpus of English: The Penn Treebank
7,528 Citations1993Mitchell P. Marcus
College Composition and CommunicationA Comprehensive Grammar of the English Language
5,535 Citations1987P Beauvais, Randolph Quirk +3 more
Longman dictionary of contemporary English
2,421 Citations1978Paul Procter
The Longman dictionary of contemporary English is a collection ofverbs, idioms andverbs used in English since the mid-19th century that reflect the changing nature of the language.
A simple rule-based part of speech tagger
1,418 Citations1992Eric Brill
This work presents a simple rule-based part of speech tagger which automatically acquires its rules and tags with accuracy comparable to stochastic taggers, demonstrating that the stochastics method is not the only viable method for part ofspeech tagging.
A THEMATIC ANALYSIS OF THE AIDS LITERATURE
33 Citations2001W. John Wilbur
This work introduces a new algorithm to produce a soft clustering of document collections that is based on the concept of a theme, an EM algorithm in which the term representation and the document representation are explicit components and each is used to refine the other in an alternating fashion.