Automatic Extraction of New Concepts from Domain-Specific Terms
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.