Improving Question Answering over Knowledge Graphs using Graph Summarization
Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural language questions using triples contained in a KG. The key idea is to represent questions and entities of a KG as low-dimensional embeddings. Previous KGQAs have attempted to represent entities using Kno...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
Springer
2021
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| Online Access: | https://link.springer.com/chapter/10.1007/978-3-030-92273-3_40 http://hdl.handle.net/20.500.11937/87131 |