公开(公告)号：US20210191937A1

公开(公告)日：2021-06-24

申请号：US16940703

申请日：2020-07-28

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

Inventor： Wei JIA ,  Dai DAI ,  Xinyan XIAO

IPC: G06F16/2452 ,  G06F40/211 ,  G06F40/284 ,  G06N20/00 ,  G06K9/62 ,  G06F16/28

Abstract: A method and an apparatus for structuring data are related to information processing technologies in the field of natural language processing. By acquiring an unstructured text and inputting the unstructured text into an encoder-decoder model, an output sequence is obtained. The encoder-decoder model is trained using a training text marked with the attribute value of each attribute. A structured representation is generated based on the attributes corresponding to the attribute elements included in the output sequence and the attribute values comprised in the attribute elements.

公开(公告)号：US20190005948A1

公开(公告)日：2019-01-03

申请号：US15872903

申请日：2018-01-16

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

Inventor： Yuan GAO ,  Daren LI ,  Dai DAI ,  Qiaoqiao SHE

IPC: G10L15/18 ,  G10L15/22 ,  G10L15/16 ,  G10L15/02

Abstract: Embodiments of the present disclosure provide a method and a device for managing a dialogue based on artificial intelligence. The method includes the followings. An optimum system action is determined from at least one candidate system action according to a current dialogue status feature, a candidate system action feature and surrounding feedback information of the at least one candidate system action and based on a decision model. Since the current dialogue status corresponding to the current dialogue status feature includes uncertain results of natural language understanding, the at least one candidate system action acquired according to the current dialogue status also includes the uncertain results of natural language understanding.

公开(公告)号：US20210200951A1

公开(公告)日：2021-07-01

申请号：US16896465

申请日：2020-06-09

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

Inventor： Yuan GAO ,  Dai DAI ,  Xinyan XIAO

IPC: G06F40/295 ,  G06F40/242

Abstract: Embodiments of the present disclosure provide methods and apparatus for outputting information. The method may include: obtaining a sentence to be identified; Performing word segmentation on the to be identified sentence to obtain a word sequence; Inputting a word sequence into a pre-trained multi-task element recognition model based on sequence labeling and entity word prediction, and outputting the identified entity words, entity categories and entity word positions, where the multi-task element recognition model includes a sequence labeling network for performing sequence labeling tasks and an entity word predicting network for performing entity word predicting task, and the sequence labeling network is fused with the entity word predicting network through a fusion module.