Parts-of-Speech Tagger Errors Do Not Necessarily Degrade Accuracy in Extracting Information from Biomedical Text

Abstract

Background: An ongoing assessment of the literature is difficult with the rapidly increasing volume of research publications and limited effective information extraction tools which identify entity relationships from text. A recent study reported development of Muscorian, a generic text processing tool for extracting proteinprotein interactions from text… (More)

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@article{Ling2008PartsofSpeechTE, title={Parts-of-Speech Tagger Errors Do Not Necessarily Degrade Accuracy in Extracting Information from Biomedical Text}, author={Maurice H. T. Ling and Christophe Lef{\`e}vre and Kevin R. Nicholas}, journal={CoRR}, year={2008}, volume={abs/0804.0317} }