Definite Description Resolution Enrichment with WordNet Domain Labels
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Semantic Information in Anaphora Resolution
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Method for WordNet Enrichment Using WSD
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
The Role of WSD for Multilingual Natural Language Applications
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
PHORA: A NLP System for Spanish
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Specification Marks for Word Sense Disambiguation: New Development
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Combining Supervised-Unsupervised Methods for Word Sense Disambiguation
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Specification Marks Method: Design and Implementation
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Interface for WordNet Enrichment with Classification Systems
DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
The University of Alicante word sense disambiguation system
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
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The authors present a method for the automatic disambiguating of nouns in English texts, using the notion of specification marks and employing the noun taxonomy of the WordNet lexical knowledge base (G.A. Miller et al., 1990). The method resolves the lexical ambiguity of nouns in any sort of text, and although it relies on the semantic relations (Hypernymy and Hyponymy) and the hierarchic organization of WordNet, it does not, however, require any sort of training process, no hand-coding of lexical entries, nor the hand-tagging of texts. An evaluation of the method was done on both the Semantic Concordance Corpus (Semcor) (G.A. Miller et al., 1993), and on Microsoft's electronic encyclopaedia ("Microsoft 98 Encarta Encyclopaedia Deluxe"). The percentage of correct resolutions achieved with these two corpora were: Semcor 65.8% and Microsoft 65.6%. Such results suggest that our proposed method is quite a stable one.