Abstract
Intelligent question answering based on knowledge graphs has been a research hotspot in recent years. The realization of intelligent question answering based on knowledge graphs is introduced from four aspects: template-based, semantic analysis, deep learning, and knowledge graph embedding. problem. Combined with the current development of artificial intelligence technology, the focus is on intelligent question answering based on deep learning, which will help more researchers to devote themselves to intelligent question answering research, develop question answering systems suitable for different fields according to the needs of different industries, and improve the level of intelligent information service in society.
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