公开(公告)号：US20210374349A1

公开(公告)日：2021-12-02

申请号：US17444693

申请日：2021-08-09

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

Inventor： Jiachen LIU ,  Xinyan XIAO ,  Hua WU ,  Haifeng WANG

IPC: G06F40/295 ,  G06N20/00 ,  G06N5/02

Abstract: A method for text generation, relates to a field of natural language processing, including: obtaining corpus data; labeling the corpus data to obtain a first constraint element; obtaining a first generation target; and generating a first text matching the first generation target by inputting the corpus data and the first constraint element into a generation model.

公开(公告)号：US20210286934A1

公开(公告)日：2021-09-16

申请号：US17331526

申请日：2021-05-26

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

Inventor： Jiachen LIU ,  Zhe HU ,  Xinyan XIAO ,  Hua WU

IPC: G06F40/117 ,  G06F40/126 ,  G06N20/00

Abstract: A method for implementing text generation, a device and a medium are provided. The method includes: determining a target task type of a target text generation task from multiple task types supported by a pre-trained general text generation model; determining, based on a requirement of the target text generation task for a target output text, a first target output text attribute for the target text generation task from multiple output text attributes supported by the general text generation model; and fine tuning the general text generation model based on a target training data set associated with the target text generation task to obtain a task-specific text generation model, by taking task indication information for the target task type and first attribute indication information for the first target output text attribute as at least part of an input of the general text generation model.

公开(公告)号：US20190163714A1

公开(公告)日：2019-05-30

申请号：US16313195

申请日：2016-09-05

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

Inventor： Yanjun MA ,  Jiachen LIU ,  Hua WU

IPC: G06F16/9535 ,  G06F16/2458 ,  G06F16/9538 ,  G06N20/00

Abstract: The present disclosure provides a search result aggregation method and apparatus based on artificial intelligence and a search engine. The method includes: obtaining a query; generating a plurality of search results according to the query; obtaining a plurality of corresponding demand dimensions according to the query; aggregating the plurality of demand dimensions according to the plurality of search results; obtaining an answer corresponding to each demand dimension, and aggregating the answers corresponding to the plurality of demand dimensions according to the aggregated demand dimensions to generate an aggregation result.

公开(公告)号：US20210182491A1

公开(公告)日：2021-06-17

申请号：US16890685

申请日：2020-06-02

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

Inventor： Moye CHEN ,  Wei XU ,  Jiachen LIU ,  Xinyan XIAO ,  Qiaoqiao SHE

IPC: G06F40/289

Abstract: Embodiments of the application disclose a summary generation method and apparatus. A specific embodiment of the method comprises: acquiring a target article including a headline and a body of the article; determining whether a question is included in the headline; determining, in the body of the article, an information-satisfied-paragraph including an answer to the question, in response to determining that the question is included in the headline; and generating a summary of the target article based on the determined information-satisfied-paragraph. The above embodiment may generate a summary that directly satisfies the users' demand for information.

公开(公告)号：US20190012377A1

公开(公告)日：2019-01-10

申请号：US16018983

申请日：2018-06-26

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

Inventor： Jiachen LIU ,  Bolei HE ,  Xinyan XIAO ,  Yajuan LYU ,  Xiaoxu FEI

IPC: G06F17/30 ,  G06N99/00

Abstract: The present disclosure provides a method and a device for generating a text tag. The method includes: performing keyword extraction using strategies corresponding to respective tag types on a target text, to obtain one or more candidate tags of the respective tag types for the target text, wherein the tag type includes at least one of an entity word, a segment text and a topic; performing reduplication removing between different tag types on the one or more candidate tags of the respective tag types to obtain one or more validated candidate tags; and determining one or more target tags of the target text based on the one or more validated candidate tags.