公开(公告)号：US20230419050A1

公开(公告)日：2023-12-28

申请号：US18463019

申请日：2023-09-07

Applicant: salesforce.com, inc.

Inventor： Akari ASAI ,  Kazuma HASHIMOTO ,  Richard SOCHER ,  Caiming XIONG

IPC: G06F40/40

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.

公开(公告)号：US20200372341A1

公开(公告)日：2020-11-26

申请号：US16695494

申请日：2019-11-26

Applicant: salesforce.com, inc.

Inventor： Akari ASAI ,  Kazuma HASHIMOTO ,  Richard SOCHER ,  Caiming XIONG

IPC: G06N3/08 ,  G06N3/04 ,  G06F40/40

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.