Graph-based Centrality Algorithms for Unsupervised Word Sense Disambiguation

This thesis introduces an innovative methodology of combining some traditional dictionary based approaches to word sense disambiguation (semantic similarity measures and overlap of word glosses, both based on WordNet) with some graph-based centrality methods, namely the degree of the vertices, Pager...

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Bibliographic Details
Main Author: Sinha, Ravi Som
Other Authors: Mihalcea, Rada, 1974-
Format: Others
Language:English
Published: University of North Texas 2008
Subjects:
Online Access:https://digital.library.unt.edu/ark:/67531/metadc9736/