公开(公告)号：US20200326197A1

公开(公告)日：2020-10-15

申请号：US16710566

申请日：2019-12-11

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

Inventor： Yanyan LI ,  Jianguo DUAN ,  Hui XIONG

IPC: G01C21/34 ,  G06F16/29 ,  G06F40/242 ,  G06N20/00

Abstract: Embodiments of the present disclosure provide a method, apparatus, computer device, and storage medium for determining a POI alias. The method may include: acquiring a to-be-processed target POI, and generating a candidate alias list corresponding to the target POI based on a query behavior-associated log matching the target POI; and screening out at least one target alias corresponding to the target POI in the candidate alias list, according to an association relationship between each candidate alias in the candidate alias list and the target POI.

公开(公告)号：US20210326514A1

公开(公告)日：2021-10-21

申请号：US17365704

申请日：2021-07-01

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

Inventor： Yanyan LI ,  Airong JIANG ,  Dejing DOU

IPC: G06F40/14 ,  G06F40/40 ,  G06F16/26

Abstract: A method for generating an interpretation text, an electronic device and a storage medium are provided, and relate to the technical field of artificial intelligence, natural language processing, big data and the like. The method includes: determining a target variable required for generating an interpretation text of a target chart, according to a text generation instruction; acquiring a first variable corresponding to the target variable from a node of at least one layer of a tree structure according to the target variable, wherein categories of variables in nodes of each layer of the tree structure are different, and a variable in one upper-layered node is at least associated with a variable in one lower-layered node; and generating an interpretation text of the target chart according to the first variable and the text generation instruction.

公开(公告)号：US20210044930A1

公开(公告)日：2021-02-11

申请号：US16821729

申请日：2020-03-17

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

Inventor： Yanyan LI ,  Jianguo DUAN ,  Hui XIONG

IPC: H04W4/029

Abstract: A method, an apparatus, a computer device and a storage medium for stay point recognition are disclosed. The method comprises: obtaining reference stay points corresponding to a to-be-recognized positioning point; selecting from the reference stay points a stay point in a predetermined relationship with the to-be-recognized positioning point; and determining whether the to-be-recognized positioning point is a stay point based on the stay point selected. The technical solution may improve the accuracy and recall rate of the stay point recognition.

公开(公告)号：US20210342538A1

公开(公告)日：2021-11-04

申请号：US17373635

申请日：2021-07-12

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

Inventor： Yanyan LI

IPC: G06F40/279 ,  G06F16/332

Abstract: A word segmentation ambiguity processing method and apparatus, a device, and a medium are provided. The method includes: obtaining a query sentence; performing word segmentation on the query sentence to obtain at least one word segmentation result, each of the at least one word segmentation result including at least one segment; obtaining, for each word segmentation result, a spatial feature corresponding to each of the at least one segment of the word segmentation result; and determining, based on the spatial feature, a target word segmentation result corresponding to the query sentence from the at least one word segmentation result.

公开(公告)号：US20210042641A1

公开(公告)日：2021-02-11

申请号：US16823214

申请日：2020-03-18

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

Inventor： Yanyan LI ,  Jianguo DUAN ,  Hui XIONG

IPC: G06N5/04 ,  G06N20/00 ,  H04W4/029

Abstract: A method, an apparatus and a storage medium for stay point recognition and prediction model training are proposed. The method may include: for a to-be-recognized positioning point, obtaining respectively features of N predetermined dimensions for the to-be-recognized positioning point, N being a positive integer greater than one; generating a feature vector for the to-be-recognized positioning point according to the features obtained; determining whether the to-be-recognized positioning point is a stay point based on the feature vector, by using a prediction model obtained by pre-training. The technical solution may be applied to improve the accuracy and a recall rate of the stay point recognition.