公开(公告)号：US11972219B2

公开(公告)日：2024-04-30

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 ,  Xiaomei Chu

IPC: G06F40/35 ,  G06N20/00

CPC classification number: 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：US20240411790A1

公开(公告)日：2024-12-12

申请号：US18747415

申请日：2024-06-18

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Zhuangzhuang Cui ,  Bo Fu

IPC: G06F16/332 ,  G06F16/33 ,  G06F16/35 ,  G06F40/186 ,  G06F40/30

Abstract: The present disclosure provides an answer information generation method and apparatus based on a large language model, and a device, and relates to the technical field of artificial intelligence, and in particular, to the fields of document retrieval, natural language processing, and large language models. An implementation solution includes: obtaining, in response to receiving a question text from a user, a semantic vector of the question text and event information related to a specific field; obtaining a plurality of candidate documents from a document library of the specific field based on at least two of the semantic vector of the question text, the at least one piece of argument information and the event category; determining quality evaluation information for a candidate document in the plurality of candidate documents based on the event category; and determining at least one target document from the plurality of candidate documents based on the quality evaluation information of the candidate document and a correlation between the candidate document and the question text, to obtain, based on the at least one target document, answer information used to answer the question text.