Sept. 13, 2022, 1:16 a.m. | Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang

cs.CL updates on arXiv.org arxiv.org

Query graph construction aims to construct the correct executable SPARQL on
the KG to answer natural language questions. Although recent methods have
achieved good results using neural network-based query graph ranking, they
suffer from three new challenges when handling more complex questions: 1)
complicated SPARQL syntax, 2) huge search space, and 3) locally ambiguous query
graphs. In this paper, we provide a new solution. As a preparation, we extend
the query graph by treating each SPARQL clause as a subgraph …

arxiv graph graphs hierarchical knowledge knowledge graphs query

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