公开(公告)号：US20200210776A1

公开(公告)日：2020-07-02

申请号：US16727946

申请日：2019-12-27

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Weixing XIONG ,  Youjun Xiong ,  Hongtao Liao

IPC: G06K9/62 ,  G06N5/04 ,  G06F17/16

Abstract: The present invention discloses a question answering method including obtaining a first question and a first category of the first question, combining the first question with each of preset second questions corresponding to the first category to form question groups, inputting the question groups into a trained deep retrieval matching classification model to obtain a first probability of a first classification label of each of the question groups, inputting the first question into a gradient boosting decision model to obtain a second category of the first question, obtaining a second category of the second questions, adjusting the first probability of the first classification label of each of the question groups, according to the second category of the second questions and the second category of the first question in each of the question groups, and outputting a reply according to adjusted first probabilities for solving a problem of low reply accuracy.

公开(公告)号：US11429810B2

公开(公告)日：2022-08-30

申请号：US16727946

申请日：2019-12-27

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： Weixing Xiong ,  Youjun Xiong ,  Hongtao Liao

IPC: G06K9/00 ,  G06K9/62 ,  G06F17/16 ,  G06N5/04

Abstract: The present invention discloses a question answering method including obtaining a first question and a first category of the first question, combining the first question with each of preset second questions corresponding to the first category to form question groups, inputting the question groups into a trained deep retrieval matching classification model to obtain a first probability of a first classification label of each of the question groups, inputting the first question into a gradient boosting decision model to obtain a second category of the first question, obtaining a second category of the second questions, adjusting the first probability of the first classification label of each of the question groups, according to the second category of the second questions and the second category of the first question in each of the question groups, and outputting a reply according to adjusted first probabilities for solving a problem of low reply accuracy.