Automatic Extraction of New Concepts from Domain-Specific Terms
Abstract
This paper describes a novel approach for recognition of domain-specific terms that exist in the knowledge base but represent new concepts. Our method can be applied to informal knowledge bases – it requires only semantic similarity between concepts and statistics of terms extracted from the corpus. We show that our method outperforms existing approaches and improves precision of word sense disambiguation algorithm.
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Review
For citations:
Astrakhantsev N.A. Automatic Extraction of New Concepts from Domain-Specific Terms. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2013;25:167-178. (In Russ.)
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