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Author Rus, V.
Sponsorship IEEE Comput. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2001
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Dictionaries ♦ Data mining ♦ Lenses ♦ Computer science ♦ Tagging ♦ Art ♦ Nearest neighbor searches ♦ Automatic logic units ♦ Taxonomy ♦ Voting
Abstract This paper presents few extensions to the logic form representation and a method for transforming WordNet glosses into logic forms using a set of high-precision rules combined with a set of high recall heuristics. An almost 3% increase in POS tagging accuracy is achieved over state-of-the art results at the expense of user intervention on only 7.52% of words. We apply a nearest neighbor solution to parser switching that leads to 6.43% increase in exact sentence accuracy for glosses. Logic Forms are derived with an accuracy of 89.46%.
Description Author affiliation: Dept. of Comput. Sci. & Eng., Southern Methodist Univ., Dallas, TX, USA (Rus, V.)
ISBN 0769514170
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2001-11-07
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 76.36 kB
Page Count 8
Starting Page 288
Ending Page 295

Source: IEEE Xplore Digital Library