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Semantic Structure based Query Graph Prediction for Question Answering over Knowledge Graph
[article]
2022
arXiv
pre-print
Building query graphs from natural language questions is an important step in complex question answering over knowledge graph (Complex KGQA). In general, a question can be correctly answered if its query graph is built correctly and the right answer is then retrieved by issuing the query graph against the KG. Therefore, this paper focuses on query graph generation from natural language questions. Existing approaches for query graph generation ignore the semantic structure of a question,
arXiv:2204.10194v6
fatcat:clq6wungn5bariyn3ld6hlvf3a