Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs. (arXiv:2209.00870v1 [cs.CL])

Answering natural language questions on knowledge graphs (KGQA) remains a
great challenge in terms of understanding complex questions via multi-hop
reasoning. Previous efforts usually exploit large-scale entity-related text
corpora or knowledge graph (KG) embeddings as auxiliary information to
facilitate answer selection. However, the rich semantics implied in
off-the-shelf relation paths between entities is far from well explored. This
paper proposes improving multi-hop KGQA by exploiting relation paths' hybrid
semantics. Specifically, we integrate explicit textual information and implicit
KG structural features …

arxiv graphs hybrid knowledge knowledge graphs question answering semantics