Synonymy and semantic classification
Synonymy and semantic classification
A flexible synonym interface with application examples in CAL and help environments
The Computer Journal
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
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
Antonymy and conceptual vectors
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A method for computing lexical semantic distance using linear functionals
Web Semantics: Science, Services and Agents on the World Wide Web
A topological embedding of the lexicon for semantic distance computation
Natural Language Engineering
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In this paper, we focus on lexical semantics, a key issue in Natural Language Processing (NLP) that tends to converge with conceptual Knowledge Representation (KR) and ontologies. When ontological representation is needed, hyperonymy, the closest approximation to the is-a relation, is at stake. In this paper we describe the principles of our vector model (CVM: Conceptual Vector Model), and show how to account for hyperonymy within the vector-based frame for semantics. We show how hyperonymy diverges from is-aand what measures are more accurate for hyperonymy representation. Our demonstration results in initiating a 'cooperation' process between semantic networks and conceptual vectors. Text automatic rewriting or enhancing, ontology mapping with natural language expressions, are examples of applications that can be derived from the functions we define in this paper.