WordNet::Similarity 
This is a Perl module that implements a variety of semantic similarity and 
relatedness measures based on information found in the lexical database 
WordNet. In particular, it supports the measures of Resnik, Lin,   
Jiang-Conrath, Leacock-Chodorow, Hirst-St.Onge, Wu-Palmer,  
Banerjee-Pedersen, and Patwardhan-Pedersen. 
 
We have a  mailing  
list  designed to support users of WordNet::Similarity.  
  
Want to report a bug or request a feature? Do that 
here! 
 Try the Web Interface 
here.
 (version 2.07) 
 
 Download the Current Version (v2.07, released October 4, 2015) from 
 
CPAN  
or 
 
Sourceforge  
-   Documentation See the 
 
README  and 
CHANGES  
files, as well as our 
TODO  list.
 This  
diagram  shows the major modules and functions of WordNet::Similarity 
as of version 0.13. (**still CURRENT as of v2.07**)
 Browse the current
 
CVS  version.
-   Pre-computed Pairwise Similarity Values for Nouns and Verbs We are pre-computing all pairwise similarity values for all senses in WordNet,
slowly but surely. This began in June 2010 - by March 2011 we had 
completed all verb pairs for all similarity measures, and in August 2011
we completed all noun pairs for the path measure. We continue to work on the
other measures.
-   Information Content Computed on Various Corpora We have pre-computed information content files from the British National 
Corpus (World Edition), the Penn Treebank (version 2), the Brown Corpus, 
the complete works of Shakespeare, and SemCor (with and without sense 
tags). These were created using the 
 
*Freq.pl programs  found in WordNet::Similarity. These information content files should be 
used with WordNet::Similarity for the given version of WordNet.
 Version Dependencies of WordNet::Similarity 
 
Please note version numbers, they must be exactly as shown. 
 
 
Bibliography  (papers by users of WordNet::Similarity) 
 
 
 Publications 
 (our papers about WordNet::Similarity)
 
 WordNet::Similarity Development Team 
 
 WordNet::Similarity Contributors 
 
 Acknowledgments 
The development of WordNet::Similarity has been supported by a National    
Science Foundation 
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). 
  
  
 
By:  Ted Pedersen - 
tpederse AT d umn edu