Invention Grant
- Patent Title: Method of training a descriptive text generating model, and method and apparatus for generating descriptive text
-
Application No.: US16176783Application Date: 2018-10-31
-
Publication No.: US11157698B2Publication Date: 2021-10-26
- Inventor: Jizhou Huang , Yaming Sun , Wei Zhang , Haifeng Wang
- Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
- Applicant Address: CN Beijing
- Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
- Current Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
- Current Assignee Address: CN Beijing
- Agency: Seed IP Law Group LLP
- Priority: CN201810622437.7 20180615
- Main IPC: G06F40/00
- IPC: G06F40/00 ; G06F40/295 ; G06F16/951 ; G06K9/00 ; G06K9/62 ; G06N7/00 ; G06F40/30 ; G06F40/268 ; G06F40/242

Abstract:
The present disclosure provides a method of training a descriptive text generating model, and a method and apparatus for generating a descriptive text, wherein the method of training a descriptive text generating model comprises: obtaining training data, the training data comprising: a notional word, a first descriptive text and a second descriptive text of the notional word, wherein the second descriptive text is a concise expression of the first descriptive text; regarding the notional word and the first descriptive text of the notional word as input of a seq2seq model, regarding the second descriptive text of the notional word as output of the seq2sequ model, and training the seq2seq model to obtain a descriptive text generating model. The descriptive text generating model according to the present disclosure can implement generation of a concise descriptive text with respect to the notional word in a deep understanding manner.
Public/Granted literature
Information query