Document Type
Report
Publication Date
2006
Abstract
This paper proposes a framework for automatic recognition of domain-specific entities from text, given limited background knowledge, e.g. in form of an ontology. The algorithm exploits several lightweight natural language processing techniques, such as tokenization and stemming, as well as statistical techniques, such as singular value decomposition (SVD) to suggest domain relatedness of unknown entities.
Repository Citation
Thomas, C.,
& Sheth, A. P.
(2006). Predicting Domain Specific Entities with Limited Background Knowledge. .
https://corescholar.libraries.wright.edu/knoesis/37
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