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Search results for "module:WordNet::Similarity"

WordNet::Similarity - Perl modules for computing measures of semantic relatedness. River stage one • 6 direct dependents • 6 total dependents
4 ++

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::res - Perl module for computing semantic relatedness of word senses using an information content based measure described by Resnik (1995). River stage one • 6 direct dependents • 6 total dependents
4 ++

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

WordNet::Similarity::hso - Perl module for computing semantic relatedness of word senses using the method described by Hirst and St-Onge (1998). River stage one • 6 direct dependents • 6 total dependents
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This module computes the semantic relatedness of word senses according to the method described by Hirst and St-Onge (1998). In their paper they describe a method to identify 'lexical chains' in text. They measure the semantic relatedness of words in ...

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). River stage one • 6 direct dependents • 6 total dependents
4 ++

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). River stage one • 6 direct dependents • 6 total dependents
4 ++

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). River stage one • 6 direct dependents • 6 total dependents
4 ++

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

WordNet::Similarity::wup - Perl module for computing semantic relatedness of word senses using the edge counting method of the of Wu & Palmer (1994) River stage one • 6 direct dependents • 6 total dependents
4 ++

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::path - Perl module for computing semantic relatedness of word senses by counting nodes in the noun and verb WordNet 'is-a' hierarchies. River stage one • 6 direct dependents • 6 total dependents
4 ++

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

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. River stage one • 6 direct dependents • 6 total dependents
4 ++

Lesk (1985) proposed that the relatedness of two words is proportional to to the extent of overlaps of their dictionary definitions. Banerjee and Pedersen (2002) extended this notion to use WordNet as the dictionary for the word definitions. This not...

TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC

WordNet::Similarity::random - Perl module for computing semantic relatedness of word senses using a random measure. River stage one • 6 direct dependents • 6 total dependents
4 ++

This module generates random numbers as a measure of semantic relatedness of word senses. It is possible to assign a random value for a word sense pair and return the same value if the same word sense pair is passed as input. It is also possible to g...

TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC

WordNet::Similarity::vector - Perl module for computing semantic relatedness of word senses using second order co-occurrence vectors of glosses of the word senses. River stage one • 6 direct dependents • 6 total dependents
4 ++

Schütze (1998) creates what he calls context vectors (second order co-occurrence vectors) of pieces of text for the purpose of Word Sense Discrimination. This idea is adopted by Patwardhan and Pedersen to represent the word senses by second-order co-...

TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC

WordNet::Similarity::Visual - Perl extension for providing visualization tools for WordNet::Similarity River stage zero No dependents
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This package provides a graphical extension for WordNet::Similarity. It provides a gui for WordNet::Similarity and visualization tools for the various edge counting measures like path, wup, lch and hso. Methods The following methods are defined in th...

KOHLIS/WordNet-Similarity-Visual-007 - 09 Sep 2005 02:24:53 UTC

WordNet::Similarity::ICFinder - a module for finding the information content of concepts in WordNet River stage one • 6 direct dependents • 6 total dependents
4 ++

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

WordNet::Similarity::PathFinder - module to implement path finding methods (by node counting) for WordNet::Similarity measures of semantic relatedness River stage one • 6 direct dependents • 6 total dependents
4 ++

Introduction This class is derived from (i.e., is a sub-class of) WordNet::Similarity. The methods in this module are useful for finding paths between concepts in WordNet's 'is-a' taxonomies. Concept A is-a concept B if, and only if, B is a hypernym ...

TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC

WordNet::Similarity::DepthFinder - methods to find the depth of synsets in WordNet taxonomies River stage one • 6 direct dependents • 6 total dependents
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The following methods are provided by this module: POD ERRORS Hey! The above document had some coding errors, which are explained below: Around line 5: =over is the last thing in the document?!...

TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC

WordNet::Similarity::GlossFinder - module to implement gloss finding methods for WordNet::Similarity measures of semantic relatedness (specifically, lesk and vector) River stage one • 6 direct dependents • 6 total dependents
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Introduction This class is derived from (i.e., is a sub-class of) WordNet::Similarity. Two of the measures of similarity, provided in this package, viz. WordNet::Similarity::lesk and WordNet::Similarity::vector deal with WordNet glosses. This module ...

TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC

WordNet::Similarity::vector_pairs - module for computing semantic relatedness of word senses using second order co-occurrence vectors of glosses of the word senses. River stage one • 6 direct dependents • 6 total dependents
4 ++

Schütze (1998) creates what he calls context vectors (second order co-occurrence vectors) of pieces of text for the purpose of Word Sense Discrimination. This idea is adopted by Patwardhan and Pedersen to represent the word senses by second-order co-...

TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC

WordNet::Similarity::FrequencyCounter - Support functions for frequency counting programs used to estimate the information content of concepts. River stage one • 6 direct dependents • 6 total dependents
4 ++

TPEDERSE/WordNet-Similarity-2.07 - 04 Oct 2015 16:19:03 UTC

WordNet::Similarity::Visual::GUI_Window River stage zero No dependents
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This package implements the basic gui window to be used by WordNet::Similarity::Visual module. Methods The following methods are defined in this package: Public methods POD ERRORS Hey! The above document had some coding errors, which are explained be...

KOHLIS/WordNet-Similarity-Visual-007 - 09 Sep 2005 02:24:53 UTC

WordNet::Similarity::Visual::QueryDataInterface River stage zero No dependents
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This package provides an interface to WordNet::QueryData. Methods The following methods are defined in this package: Public methods POD ERRORS Hey! The above document had some coding errors, which are explained below: Around line 11: =over is the las...

KOHLIS/WordNet-Similarity-Visual-007 - 09 Sep 2005 02:24:53 UTC
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