grling-sdm

Last Updated: 3/18/2014 12:00:00 AM
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grling-sdm (graphical models for linguistic applications - supervised decomposable model search) was a system for assigning probabilistic classification to words developed for the 1998 SENSEVAL competition for word-sense disambiguation. Its selection approach also had applications to related natural language processing problems.

Documentation

Creator(s): Tom O'Hara, Janyce Wiebe and Rebecca Bruce; New Mexico State University and University of North Carolina at Asheville

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Attributes

Type of analysis: Natural Language Processing Analysis Content Analysis
Ease of Use: Moderate
Historic Tool (developed before 2005): No longer in active development
TaDiRAH Goals: Analysis
TaDiRAH Methods: Content Analysis

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Amy Dyrbye

More information on grling-sdm is available in the following article:

O'Hara, Tom, Janyce Wiebe and Rebecca Bruce. \"Selecting Decomposable Models for Word-Sense Disambiguation: The Grling-Sdm System.\" Computers and the Humanities 34.1-2 (2000): 159-164. Web.

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