LDV-Forum/Journal for language technology and computational linguistics · 2005 · 51 citations · 32 references
ComputingComputer ScienceKnowledge RepresentationNatural Language ProcessingText AnalyticsConcept ExtractionKnowledge ExtractionKnowledge TaxonomiesOntology DesignOntology EngineeringText MiningAutomatic Text ClassificationCategorization ModelsDocument ClassificationMetadata OntologiesOntology-based RepresentationText AnnotationText CategorizationText Classification
Structuring of text document knowledge frequently appears either by ontologies and metadata or by automatic (un-)unsupervised text categorization. This paper describes our integrated framework OTTO (OnTology-based Text mining framewOrk). OTTO uses text mining to learn the target ontology from text documents and uses then the same target ontology in order to improve the effectiveness of both supervised and unsupervised text categorization approaches.
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An algorithm for suffix stripping
Martin Porter · Program electronic library and information systems · 1980 · 8.1K citations
Automatic acquisition of hyponyms from large text corpora
Marti A. Hearst · 1992 · 3.3K citations · Full text