WSD Algorithm Applied to a NLP System
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
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
A Proposal for WSD Using Semantic Similarity
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Word Sense Disambiguation with Specification Marks in Unrestricted Texts
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
A method for word sense disambiguation of unrestricted text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
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Nowadays, the need of advanced free text filtering in multilingual environment is increasing. Therefore, when searching for specific keywords in multilingual information space, it is desirable to eliminate occurrences where the word or words of each language are used in an inappropriate sense. This task could be exploited in internet browsers, and resource discovery systems, relational databases containing free text fields, electronic document management systems, data warehouse and data mining systems, etc. In order to resolve this problem in this paper we present a Word Sense Disambiguation interface, which it returns the words senses in different languages and it could be employed for multilingual natural language applications. This interface resolve lexical ambiguity of nouns and verbs in some European languages (English, Spanish) input texts, using the taxonomy of the EuroWordNet lexical knowledge database, and returning a multilingual output of the words senses (English, Spanish, Catalan and Basque). In addition to the relations in WordNet 1.5, EuroWord-Net includes cross-language and cross-category relations, which are directly useful for multilingual Word Sense Disambiguation. This interface has been implemented using programming language C++ and providing a visual framework.