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公开(公告)号:US20240370690A1
公开(公告)日:2024-11-07
申请号:US18309890
申请日:2023-05-01
Applicant: NVIDIA Corporation
Abstract: In various examples, query response generation using entity linking for conversational AI systems and applications is described herein. Systems and methods are disclosed that generate embeddings associated with entities that a dialogue system is trained to interpret. The systems and methods may then use the embeddings to interpret requests. For instance, when receiving a request, the systems and methods may generate at least an embedding for an entity included in the request and compare the embedding to the stored embeddings in order to determine that the entity from the request is related to one of the stored entities. The systems and methods may then use this relationship to generate the response to the query. This way, even if the entity is not an exact match to a stored entity, the systems and methods are still able to interpret the query from the user.