公开(公告)号：US20210365639A1

公开(公告)日：2021-11-25

申请号：US17138042

申请日：2020-12-30

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd. ,  BAIDU USA LLC

Inventor： Zeyu NING ,  Xuchen YAO ,  Wenhao FANG ,  Bo FU ,  Liqin FENG ,  Xianmei CHU

IPC: G06F40/35 ,  G06N20/00

Abstract: This application discloses an intent recognition optimization processing method, apparatus, device and storage medium, and relates to the field of internet technology. The implementation scheme of specific method includes: acquiring a first intent set and at least one original corpus; acquiring a first recognition result of each original corpus, where the first recognition result of any one of the original corpus includes a first intent corresponding to the original corpus recognized by the intent recognition model; acquiring a second recognition result of each original corpus, where the second recognition result of any one of the original corpus includes a second intent corresponding to the original corpus obtained through artificial recognition; and performing optimization processing on the first intent set to obtain a second intent set according to the first recognition result and the second recognition result of each original corpus.

公开(公告)号：US20230052906A1

公开(公告)日：2023-02-16

申请号：US17963453

申请日：2022-10-11

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

Inventor： Yushen CHEN ,  Hongda YUE ,  Haiyang XU ,  Guangyao HAN ,  Liangjie ZHANG ,  Wenhao FANG ,  Bohao FENG ,  Fei XIAO ,  Liangxu QUAN

IPC: G06V10/22 ,  G06V10/82 ,  G06F40/295

Abstract: An entity recognition method and apparatus, an electronic device, a storage medium, and a computer program product are provided. The method includes: recognizing a to-be-recognized image to determine a preliminary recognition result for entities in the to-be-recognized image; determining, in response to determining that the preliminary recognition result includes a plurality of entities of a same category, image features of the to-be-recognized image and textual features of the plurality of entities; determining whether the plurality of entities is a consecutive complete entity based on the image features and the textual features, to obtain a complete-entity determining result; and obtaining a final recognition result based on the preliminary recognition result and the complete-entity determining result.