公开(公告)号：US10762305B2

公开(公告)日：2020-09-01

申请号：US16005779

申请日：2018-06-12

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

Inventor： Yi Liu ,  Daxiang Dong ,  Dianhai Yu

IPC: G06F16/35 ,  G06F40/56 ,  H04L12/58 ,  G06F17/18 ,  G06N3/04 ,  G06N3/08 ,  G06N3/00 ,  G06F40/35 ,  G06F40/49 ,  G06F40/279 ,  G06N5/04 ,  G06F16/583

Abstract: Embodiments of the present disclosure relate to a method for generating chatting data based on AI, a computer device and a computer-readable storage medium. The method includes: converting chatting data inputted by a user into an input word sequence; converting a tag of the user into a tag word sequence; based on a preset encoding-decoding model with an attention model, predicting according to the input word sequence and the tag word sequence to obtain a target word sequence; and converting the target word sequence into reply data of the chatting data.

公开(公告)号：US11151177B2

公开(公告)日：2021-10-19

申请号：US16054842

申请日：2018-08-03

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

Inventor： Yukun Li ,  Yi Liu ,  Yu Sun ,  Dianhai Yu

IPC: G06F16/30 ,  G06F40/30 ,  G06N3/04 ,  G06N3/08 ,  G06F16/33 ,  G06F16/951 ,  G06F16/90

Abstract: Embodiments of the present disclosure disclose a search method and apparatus based on artificial intelligence. A specific implementation of the method comprises: acquiring at least one candidate document related to a query sentence; determining a query word vector sequence corresponding to a segmented word sequence of the query sentence, and determining a candidate document word vector sequence corresponding to a segmented word sequence of each candidate document in the at least one candidate document; performing a similarity calculation for each candidate document in the at least one candidate document; selecting, in a descending order of similarities between the candidate document and the query sentence, a preset number of candidate documents from the at least one candidate document as a search result.

公开(公告)号：US10567549B2

公开(公告)日：2020-02-18

申请号：US16282438

申请日：2019-02-22

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

Inventor： Baohua Lai ,  Yukun Zhang ,  Long Yan ,  Hao Song ,  Yi Liu ,  Minghua Li ,  Hai Zeng

IPC: G06F15/16 ,  H04L29/08

Abstract: A distributed database transaction processing method and device based on a GPS atomic clock, the method includes: receiving a plurality of transaction requests by the first node server; determining a concurrency conflict between transaction requests received by the first node server; obtaining start time of each transaction in a case that the concurrency conflict exists, wherein the start time is local time of the second node server when the transaction request is sent; and local time of the second node server is synchronized with time of the GPS atomic clock server in an area which the second node server locates; processing all transactions by the first node server according to the sequence of the start time of each transaction. Throughput of distributed database system can be increased and an arrangement complexity of servers is reduced.

公开(公告)号：US20210216875A1

公开(公告)日：2021-07-15

申请号：US17218033

申请日：2021-03-30

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

Inventor： Tianjian He ,  Yi Liu ,  Daxiang Dong ,  Yanjun Ma ,  Dianhai Yu

IPC: G06N3/08 ,  G06N3/10

Abstract: A method for training a deep learning model may include: acquiring model description information and configuration information of a deep learning model; segmenting the model description information into at least two sections based on segmentation point variable in the configuration information, and loading the model description information to a corresponding resource to run; inputting a batch of training samples into a resource corresponding to a first section of model description information, then starting training and using obtained context information as an input of a resource corresponding to a subsequent section of model description information; and so on until an operation result of a resource corresponding to a final section of model description information is obtained; if a training completion condition is met, outputting a trained deep learning model; and otherwise, keeping on acquiring a subsequent batch of training samples and performing the above training steps until the condition is met.

公开(公告)号：US10528667B2

公开(公告)日：2020-01-07

申请号：US15900176

申请日：2018-02-20

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

Inventor： Yukun Li ,  Yi Liu ,  Yu Sun ,  Dianhai Yu

IPC: G06F17/27 ,  G06N3/04 ,  G06N3/08

Abstract: An artificial intelligence based method and apparatus for generating information are disclosed. The method in an embodiment includes: segmenting a to-be-processed text into characters to obtain a character sequence; determining a character vector for each character in the character sequence to generate a character vector sequence; generating a plurality of character vector subsequences by segmenting the character vector sequence based on a preset vocabulary; for each generated character vector subsequence, determining a sum of character vectors composing the character vector subsequence as a target vector, and inputting the target vector into a pre-trained first neural network to obtain a word vector corresponding to the each character vector subsequence, the first neural network used to characterize a correspondence between the target vector and the word vector; and analyzing the to-be-processed text based on the obtained word vector to generate an analysis result. This embodiment improves the adaptability of text processing.