NL2KB: Resolving vocabulary gap between natural language and knowledge base in knowledge base construction and retrieval
Journal
26th International Conference on Computational Linguistics, Proceedings of COLING
Pages
282-286
ISBN
9784879747037
Date Issued
2016
Author(s)
Abstract
Words to express relations in natural language (NL) statements may be different from those to represent properties in knowledge bases (KB). The vocabulary gap becomes barriers for knowledge base construction and retrieval. With the demo system called NL2KB in this paper, users can browse which properties in KB side may be mapped to for a given relational pattern in NL side. Besides, they can retrieve the sets of relational patterns in NL side for a given property in KB side. We describe how the mapping is established in detail. Although the mined patterns are used for Chinese knowledge base applications, the methodology can be extended to other languages. ? COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations.
Type
conference paper