公开(公告)号：US20220398260A1

公开(公告)日：2022-12-15

申请号：US17812742

申请日：2022-07-15

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Jian SUN ,  Weihua PENG ,  Chenye WU

IPC: G06F16/28 ,  G06N20/00

Abstract: An information processing method, an electronic device, and a storage medium are provided, which relate to the field of artificial intelligence technologies such as big data, knowledge graphs, deep learning and the like. The method includes: determining a first independence relationship according to a plurality of variables and values respectively corresponding to the plurality of variables, wherein the first independence relationship includes: at least two variables of the plurality of variables being relatively independent; determining a first adjustment scheme according to the plurality of variables and the first independence relationship; adjusting the first independence relationship according to the first adjustment scheme, to obtain a second independence relationship; and obtaining a causal relationship information processing result according to the second independence relationship.

公开(公告)号：US20230214688A1

公开(公告)日：2023-07-06

申请号：US18119494

申请日：2023-03-09

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Jiyuan ZHANG ,  Jianguo MAO ,  Zengfeng ZENG ,  Weihua PENG ,  Wenbin JIANG ,  Yajuan LYU

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: A method and apparatus for determining an answer to a question are provided. The method includes: splicing an acquired to-be-queried question with each candidate answer into each question-answer pair; performing reasoning operations of feature combination parameters on different granularity features of each question-answer pair at a preset number of steps in a horizontal direction based on recurrent characteristics of a recurrent neural network; determining feature combination weights of the different granularity features using multiple preset vertical reasoning layers at different reasoning focuses respectively, at each step of the reasoning operations in the horizontal direction; obtaining a candidate answer feature corresponding to each question-answer pair, respectively, through a final step of the reasoning operations; and determining a target candidate answer matching the to-be-queried question based on a feature similarity between a question feature of the to-be-queried question and each candidate answer feature.