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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
