Finding paraphrases using PNrule. Bartlett, B. Master's thesis, Department of Computer Science, University of Toronto, September, 2006. abstract bibtex In this thesis, we attempt to use a machine-learning algorithm, PNrule, along with simple lexical and syntactic measures to detect paraphrases in cases where their existence is rare. We choose PNrule because it was specifically developed for classification in instances where the target class is rare compared to other classes within the data. We test our system both on a dataset we develop based on movie reviews, and on the PASCAL RTE dataset; we obtain poor results on the former, and moderately good results on the latter. We examine why this is the case, and suggest improvements for future research.
@MastersThesis{ bartlett2,
author = {Benjamin Bartlett},
title = {{Finding paraphrases using PNrule}},
school = {Department of Computer Science, University of Toronto},
month = {September},
year = {2006},
abstract = {In this thesis, we attempt to use a machine-learning
algorithm, PNrule, along with simple lexical and syntactic
measures to detect paraphrases in cases where their
existence is rare. We choose PNrule because it was
specifically developed for classification in instances
where the target class is rare compared to other classes
within the data. We test our system both on a dataset we
develop based on movie reviews, and on the PASCAL RTE
dataset; we obtain poor results on the former, and
moderately good results on the latter. We examine why this
is the case, and suggest improvements for future research.},
download = {http://ftp.cs.toronto.edu/pub/gh/Bartlett-thesis.pdf}
}
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