Electric words: dictionaries, computers, and meanings
Electric words: dictionaries, computers, and meanings
EuroWordNet: a multilingual database with lexical semantic networks
EuroWordNet: a multilingual database with lexical semantic networks
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Complementing WordNet with Roget's and corpus-based thesauri for information retrieval
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
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
Recent model-based and model-related studies of a large scale lexical resource [Roget's thesaurusl]
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
EmoHeart: conveying emotions in second life based on affect sensing from text
Advances in Human-Computer Interaction - Special issue on emotion-aware natural interaction
Affect analysis model: Novel rule-based approach to affect sensing from text
Natural Language Engineering
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Thesauri have always been a useful resource for natural language processing. WordNet, a kind of thesaurus, has proven invaluable in computational linguistics. We present the various applications of Roget's Thesaurus in this field and discuss the advantages of its structure. We evaluate the merits of the 1987 edition of Penguin's Roget's Thesaurus of English Words and Phrases as an NLP resource: we design and implement an electronic lexical knowledge base with its material. An extensive qualitative and quantitative comparison of Roget's and WordNet has been performed, and the ontologies as well as the semantic relations of both thesauri contrasted. We discuss the design in Java of the lexical knowledge base, and its potential applications. We also propose a framework for measuring similarity between concepts and annotating Roget's semantic links with WordNet labels.