Search results for "dist:WordNet-Similarity RES"
WordNet::Similarity::res - Perl module for computing semantic relatedness of word senses using an information content based measure described by Resnik (1995).
Resnik (1995) uses the information content of concepts, computed from their frequency of occurrence in a large corpus, to determine the semantic relatedness of word senses. This module implements this measure of semantic relatedness. The following me...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
UTILS - [documentation] WordNet::Similarity supporting utilities
The '/utils' directory of the package contains a few support Perl programs, that use the WordNet::Similarity modules or generate data files for it. As part of the standard installation these are installed into the system directories (such as /usr/bin...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
CONFIG - [documentation] Description of all configuration options for measures
The following is a list of options supported by the measures of semantic relatedness. This is intended to serve as a "master list" of options so that descriptions can be copied from here and pasted into the documentation for specific modules. trace T...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
CHANGES - Revision history for WordNet::Similarity
Version 2.07 (Released 10/05/2015) (1) Fix make test error in lesktrace.t due to overlap results returning in unpredictable orders - problem is documented here : <https://rt.cpan.org/Ticket/Display.html?id=86437> and fix is provided by Phil Goetz, ph...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
INSTALL - [documentation] How to install WordNet::Similarity
Prerequisites You need to have WordNet (version 3.0) installed, WordNet::QueryData (version 1.40 or later), and Text::Similarity (version 0.04 or later) installed. [NOTE: However, if you're using WordNet 3.0, you must use WordNet::QueryData v1.46 or ...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
WordNet::Similarity - Perl modules for computing measures of semantic relatedness.
Introduction We observe that humans find it extremely easy to say if two words are related and if one word is more related to a given word than another. For example, if we come across two words, 'car' and 'bicycle', we know they are related as both a...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
WordNet::Similarity::wup - Perl module for computing semantic relatedness of word senses using the edge counting method of the of Wu & Palmer (1994)
Resnik (1999) revises the Wu & Palmer (1994) method of measuring semantic relatedness. Resnik uses use an edge distance method by taking into account the most specific node subsuming the two concepts. Here we have implemented the original Wu & Palmer...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
WordNet::Similarity::lin - Perl module for computing semantic relatedness of word senses using the information content based measure described by Lin (1998).
Lin (1998) describes a method to compute the semantic relatedness of word senses using the information content of the concepts in WordNet and the 'Similarity Theorem' (also described in the paper). This module implements this measure of semantic rela...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
WordNet::Similarity::jcn - Perl module for computing semantic relatedness of word senses according to the method described by Jiang and Conrath (1997).
This module computes the semantic relatedness of word senses according to the method described by Jiang and Conrath (1997). This measure is based on a combination of using edge counts in the WordNet 'is-a' hierarchy and using the information content ...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
WordNet::Similarity::lch - Perl module for computing semantic relatedness of word senses using the method described by Leacock and Chodorow (1998).
This module computes the semantic relatedness of word senses according to a method described by Leacock and Chodorow (1998). This method counts up the number of edges between the senses in the 'is-a' hierarchy of WordNet. The value is then scaled by ...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
similarity.pl - Command line interface to WordNet::Similarity
This program is a command line interface to the WordNet::Similarity package, which is an implementation of semantic relatedness measures between words. This project began in an effort to replicate the measures described in Budanitsky and Hirst (1995)...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
WordNet::Similarity::path - Perl module for computing semantic relatedness of word senses by counting nodes in the noun and verb WordNet 'is-a' hierarchies.
This module computes the semantic relatedness of word senses by counting the number of nodes along the shortest path between the senses in the 'is-a' hierarchies of WordNet. The path lengths include the end nodes. For example, the path between shrub#...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
rawtextFreq.pl - Compute Information Content from Raw / Plain Text
This program reads a corpus of plain text and computes frequency counts from that corpus and then uses those to determine the information content of each synset in WordNet. In brief it does this by first assigning counts to each synset for which it o...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC
WordNet::Similarity::ICFinder - a module for finding the information content of concepts in WordNet
Introduction Three of the measures provided within the package require information content values of concepts (WordNet synsets) for computing the semantic relatedness of concepts. Resnik (1995) describes a method for computing the information content...
TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC