seeks to use measures of semantic similarity and relatedness to perform
word sense disambiguation.
We have two different word sense disambiguation algorithms, an
"all words" version (WordNet-SenseRelate-AllWords) and a lexical sample
version (WordNet-SenseRelate-TargetWord). The all words algorithm assigns
a sense to each word in a text, and the lexical sample version assigns a
sense to a given target word. There is also a third program which selects
the sense of a word that is most related to a given set of words
All of these assign meanings as found in the lexical database WordNet.
They carry out word sense disambiguation by measuring the semantic
similarity between a word and its neighbors. In particular, a word is
assigned the sense that is most related to its neighbors. The measures of
similarity are from wn-similarity,
which is also distributed via CPAN as
We have mailing lists
developers. The mailing lists may be used to discuss any of these
WordNet::SenseRelate::AllWords is an "all words" disambiguation algorithm
and assigns a meaning to every content word in a text.
Download the most current version of WordNet-SenseRelate-AllWords from CPAN
SourceForge (v0.19 released May 28, 2009)
Check out the
Web Interface to AllWords here
(both are v0.19).
WordNet::SenseRelate::WordToSet assigns the meaning to a word that is most
related to a given set of words.
Download the most current version of WordNet-SenseRelate-WordToSet from CPAN
SourceForge (v0.04 released April 6, 2008)
WordNet::SenseRelate::TargetWord is an "lexical sample" disambiguation
algorithm that assigns a meaning to one content word per context.
Download the most current version of WordNet-SenseRelate-TargetWord from CPAN
SourceForge (v0.09 released December 24, 2006)
SenseRelate Development Team
The development of SenseRelate has been supported by a National
Faculty Early Career Development (CAREER) Program
award (#0092784, 2001-2007), by a Grant in Aid of Research, Artistry and
Scholarship from the Graduate School of the University of Minnesota
(2003-2004), and by the Digital Technology Initiative of the Digital
Technology Center of the University of Minnesota (2004-2005).
- tpederse AT d umn edu