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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| Format: | Others |
| Language: | English |
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University of North Texas
2008
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| Online Access: | https://digital.library.unt.edu/ark:/67531/metadc9736/ |