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公开(公告)号:US11775775B2
公开(公告)日:2023-10-03
申请号:US16695494
申请日:2019-11-26
Applicant: salesforce.com, inc.
Inventor: Akari Asai , Kazuma Hashimoto , Richard Socher , Caiming Xiong
Abstract: Embodiments described herein provide a pipelined natural language question answering system that improves a BERT-based system. Specifically, the natural language question answering system uses a pipeline of neural networks each trained to perform a particular task. The context selection network identifies premium context from context for the question. The question type network identifies the natural language question as a yes, no, or span question and a yes or no answer to the natural language question when the question is a yes or no question. The span extraction model determines an answer span to the natural language question when the question is a span question.