Leveraging Domain Context for Question Answering Over Knowledge Graph
Abstract With the growing availability of different knowledge graphs in a variety of domains, question answering over knowledge graph (KG-QA) becomes a prevalent information retrieval approach. Current KG-QA methods usually resort to semantic parsing, search or neural matching models. However, they...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-11-01
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Series: | Data Science and Engineering |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/s41019-019-00109-w |