SIGSMALL '90 Proceedings of the 1990 ACM SIGSMALL/PC symposium on Small systems
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Revealing Class Structure with Concept Lattices
WCRE '03 Proceedings of the 10th Working Conference on Reverse Engineering
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Data weeding techniques applied to Roget's thesaurus
KONT'07/KPP'07 Proceedings of the First international conference on Knowledge processing and data analysis
Review: Formal concept analysis in knowledge processing: A survey on applications
Expert Systems with Applications: An International Journal
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Homographs are words with identical spellings but different origins and meanings. Natural language processing must deal with the disambiguation of homographs and the attribution of senses to them. Advances have been made using context to discriminate homographs, but the problem is still open. Disambiguating homographs is possible using formal concept analysis. This paper discusses the issues, illustrated by examples, using data from Roget's Thesaurus.