Systems and methods for reading comprehension for a question answering task

    公开(公告)号:US11775775B2

    公开(公告)日:2023-10-03

    申请号:US16695494

    申请日:2019-11-26

    CPC classification number: G06F40/40 G06F40/30

    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.

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