Predicting Domain Specific Entities with Limited Background Knowledge

Author(s)

Christopher Thomas
Amit P. Sheth, University of South Carolina - ColumbiaFollow

Document Type

Paper

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.

Publication Info

2006.

© Thomas, C., & Sheth, A. P., 2006

APA Citation

Thomas, C., & Sheth, A. P. (2006). Predicting Domain Specific Entities with Limited Background Knowledge.
https://corescholar.libraries.wright.edu/knoesis/37