|Title:||NL2KB: Resolving vocabulary gap between natural language and knowledge base in knowledge base construction and retrieval||Authors:||Wei S.-L.
|Issue Date:||2016||Start page/Pages:||282-286||Source:||COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: System Demonstrations||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.
26th International Conference on Computational Linguistics, COLING 2016, 11 December 2016 through 16 December 2016
|Appears in Collections:||資訊工程學系|
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