|Title||Predicting Domain Specific Entities with Limited Background Knowledge|
|Year of Publication||2006|
|Authors||Christopher Thomas, Amit Sheth|
|Keywords||Ontology and Named Entity Recognition and Domain Knowledge|
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.
|Full Text|| |
Christopher Thomas and Amit Sheth, 'Predicting Domain Specific Entities with Limited Background Knowledge,' Technical Report 082006, LSDIS Lab, University of Georgia, August 6, 2006.