Ted Pedersen
and 1 contributors

Documentation

  • BNCFreq.pl - Compute Information Content based on British National Corpus (World Edition)
  • CHANGES - Revision history for WordNet::Similarity
  • CONFIG - [documentation] Description of all configuration options for measures
  • DEVELOPERS - [documentation] Instructions on how to write a new measure for WordNet::Similarity
  • INSTALL - [documentation] How to install WordNet::Similarity
  • README - [documentation] Introduction to WordNet::Similarity
  • TODO - Todo list for WordNet::Similarity
  • UTILS - [documentation] WordNet::Similarity supporting utilities
  • brownFreq.pl - Compute Information Content from the Brown Corpus
  • compounds.pl - extract compound words (collocations) from WordNet
  • modules - [documentation] Overview of WordNet::Similarity measure modules
  • rankFormat.pl - Measure the correlation between two different rankings of word pairs measured for semantic relatedness.
  • rawtextFreq.pl - Compute Information Content from Raw / Plain Text
  • semCorFreq.pl - Compute Information Content from SemCor sense-tagged corpus
  • semCorRawFreq.pl - Compute Information Content from SemCor corpus (raw form, without using sense-tags)
  • similarity.pl - Command line interface to WordNet::Similarity
  • similarity_server.pl - [Web] The backend WordNet::Similarity server for the Web Interface
  • treebankFreq.pl - Compute Information Content from Penn Treebank 2
  • wnDepths.pl - Find the depths of WordNet taxonomies
  • wordVectors.pl - Write word vectors from WordNet glosses to a file for use by vector and vector_pairs measures

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::FrequencyCounter - Support functions for frequency counting programs used to estimate the information content of concepts.
  • 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)
  • WordNet::Tools - Some tools for use with WordNet.
  • WordNet::get_wn_info - Provides access to glosses related to a concept in WordNet
  • WordNet::stem - Module that find the stem of a word or the stems of a string of words, using WordNet.
  • WordNet::vectorFile - Provides access to the word vectors database (used by the vector and vector_pairs WordNet::Similarity measures).