公开(公告)号：US11348015B2

公开(公告)日：2022-05-31

申请号：US15642871

申请日：2017-07-06

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

Inventor： Zhen Guo ,  Wenquan Wu ,  Zhanyi Liu

IPC: G06N5/02 ,  G06N3/00 ,  G06F16/33 ,  G06F40/30 ,  G06F40/211 ,  G06F40/284

Abstract: The present disclosure provides a method and an apparatus for analyzing an intention based on artificial intelligence. The method includes: receiving a query; acquiring a keyword of an intention of the query according to a preset strategy; acquiring a qualifier of the intention of the query according to the keyword based on a syntax tree; and determining the intention of the query according to the keyword and the qualifier.

公开(公告)号：US11531813B2

公开(公告)日：2022-12-20

申请号：US17015411

申请日：2020-09-09

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

Inventor： Xinchao Xu ,  Haifeng Wang ,  Hua Wu ,  Zhanyi Liu

IPC: G06F40/284 ,  G06F40/274 ,  G06N3/08 ,  G10L15/04 ,  G10L15/06

Abstract: A method, an electronic device and a readable storage medium for creating a label marking model are disclosed. The method for creating the label marking model includes: obtaining text data and determining a word or phrase to be marked in the text data; according to the word or phrase to be marked, constructing a first training sample of the text data corresponding to a word or phrase replacing task and a second training sample corresponding to a label marking task; training a neural network model with a plurality of the first training samples and a plurality of the second training samples, respectively, until a loss function of the word or phrase replacing task and a loss function of the label marking task satisfy a preset condition, to obtain the label marking model.

公开(公告)号：US20220019747A1

公开(公告)日：2022-01-20

申请号：US17237797

申请日：2021-04-22

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

Inventor： Zhen Guo ,  Wenquan Wu ,  Zhanyi Liu

IPC: G06F40/35 ,  G06N5/04 ,  G06F40/279 ,  G06T11/00 ,  G06F40/166

Abstract: A method for information processing in a user conversation, an electronic device and a storage medium thereof, which relate to the field of artificial intelligence and the natural language processing field, are disclosed. The method may include: acquiring conversation preceding information in a conversation between a first user and a second user; acquiring a target conversation strategy employed by the first user; generating initial reply content with a pre-trained response generating model according to the target conversation strategy and the conversation preceding information; and sending the initial reply content to a client of the first user, so as to display the initial reply content on a conversation interface of the first user with the second user.

公开(公告)号：US20210234814A1

公开(公告)日：2021-07-29

申请号：US17208865

申请日：2021-03-22

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

Inventor： Hua Wu ,  Haifeng Wang ,  Zhanyi Liu

IPC: H04L12/58 ,  G06N3/02 ,  G06N5/02 ,  G06K9/62

Abstract: A method for human-machine interaction based on a neural network is provided. The method includes: providing a user input as a first input for a neural network system; providing the user input to a conversation control system different from the neural network system; processing the user input by the conversation control system based on information relevant to the user input; providing a processing result of the conversation control system as second input for the neural network system; and generating, by the neural network system, a reply to the user input based on the first and second input.