A Hybrid Approach to Word Sense Disambiguation : Neural Clustering with Class Labeling

By combining a neural algorithm with the WordNet lexical database we were able to semi-automatically label the groups of items clustered in a multi-branched hierarchy, paving way for the use of neural algorithms together with ontological knowledge in word sense disambiguation tasks.

[1]  Dave Elliman,et al.  Visualizing ontology components through self-organizing maps , 2002, Proceedings Sixth International Conference on Information Visualisation.

[2]  Hinrich Schütze,et al.  Automatic Word Sense Discrimination , 1998, Comput. Linguistics.

[3]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[4]  Pasi Tyrväinen,et al.  Bridging the Word Disambiguation Gap with the Help of OWL and Semantic Web Ontologies , 2003 .

[5]  Teuvo Kohonen,et al.  Self-Organizing Maps, Third Edition , 2001, Springer Series in Information Sciences.