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Siddharth Patwardhan

Documentation

Modules

  • WordNet::Similarity - Perl modules for computing measures of semantic relatedness.
  • WordNet::Similarity::DepthFinder - methods to find the depth of synsets in WordNet taxonomies
  • WordNet::Similarity::GlossFinder - module to implement gloss finding methods for WordNet::Similarity measures of semantic relatedness (specifically, lesk and vector)
  • WordNet::Similarity::ICFinder - a module for finding the information content of concepts in WordNet
  • WordNet::Similarity::PathFinder - module to implement path finding methods (by node counting) for WordNet::Similarity measures of semantic relatedness
  • WordNet::Similarity::hso - Perl module for computing semantic relatedness of word senses using the method described by Hirst and St-Onge (1998).
  • WordNet::Similarity::jcn - Perl module for computing semantic relatedness of word senses according to the method described by Jiang and Conrath (1997).
  • WordNet::Similarity::lch - Perl module for computing semantic relatedness of word senses using the method described by Leacock and Chodorow (1998).
  • WordNet::Similarity::lesk - Perl module for computing semantic relatedness of word senses using gloss overlaps as described by Banerjee and Pedersen (2002) -- a method that adapts the Lesk approach to WordNet.
  • WordNet::Similarity::lin - Perl module for computing semantic relatedness of word senses using the information content based measure described by Lin (1998).
  • WordNet::Similarity::path - Perl module for computing semantic relatedness of word senses by counting nodes in the noun and verb WordNet 'is-a' hierarchies.
  • WordNet::Similarity::random - Perl module for computing semantic relatedness of word senses using a random measure.
  • WordNet::Similarity::res - Perl module for computing semantic relatedness of word senses using an information content based measure described by Resnik (1995).
  • WordNet::Similarity::vector - Perl module for computing semantic relatedness of word senses using second order co-occurrence vectors of glosses of the word senses.
  • WordNet::Similarity::vector_pairs - module for computing semantic relatedness of word senses using second order co-occurrence vectors of glosses of the word senses.
  • WordNet::Similarity::wup - Perl module for computing semantic relatedness of word senses using the edge counting method of the of Wu & Palmer (1994)
  • get_wn_info - Provides access to glosses related to a concept in WordNet
  • stem - Module that find the stem of a word or the stems of a string of words, using WordNet.
  • vectorFile - Provides access to the word vectors database.