Word sense disambiguation and information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Using corpus statistics and WordNet relations for sense identification
Computational Linguistics - Special issue on word sense disambiguation
Domain-specific FAQ retrieval using independent aspects
ACM Transactions on Asian Language Information Processing (TALIP)
Using text mining and natural language processing for health care claims processing
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Accessing the content of Greek historical documents
Proceedings of The Third Workshop on Analytics for Noisy Unstructured Text Data
Ontology learning from text: A look back and into the future
ACM Computing Surveys (CSUR)
The SENSEVAL-2 panel on domains, topics and senses
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
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This paper describes a method for adapting a general purpose synonym database, like WordNet, to a specific domain, where only a subset of the synonymy relations defined in the general database hold. The method adopts an eliminative approach, based on incrementally pruning the original database. The method is based on a preliminary manual pruning phase and an algorithm for automatically pruning the database. This method has been implemented and used for an Information Retrieval system in the aviation domain.