Text expression method, device, electronic device and readable storage medium
An expression method and text technology, applied in other database retrieval, other database indexing, special data processing applications, etc., can solve the problems of lack of text expression semantics, reduced reliability of text expression, etc., to achieve strong expression ability, improve experience, improve The effect of reliability
Active Publication Date: 2020-12-18
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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[0003] However, due to the sequential expression that only considers the linear features of the text, there may be a lack of semantics in the obtained text expression, resulting in a reduction in the reliability of the text expression
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[0029] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0030] Apparently, the described embodiments are some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0031] It should be noted that the terminal devi...
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The invention discloses a text expression method and device, electronic equipment and a readable storage medium, and relates to the technical field of deep learning and the technical field of naturallanguage processing. According to the specific implementation scheme, the method comprises the steps of obtaining a graph structure of a to-be-expressed text according to text structure information ofthe to-be-expressed text; utilizing the node expression model to obtain vector expression of each node in the graph structure of the to-be-expressed text; and according to the vector expression of each node in the graph structure of the to-be-expressed text, obtaining the vector expression of the graph structure of the to-be-expressed text by utilizing the graph structure expression model to serve as the vector expression of the to-be-expressed text. Due to the fact that graph structure expression is carried out by fully considering the non-linear characteristics of the text, the obtained text expression can well reflect the structure information of the text semantically, meanwhile, important semantic information is reserved, the expression capacity of the obtained text expression is higher, and the reliability of the text expression is improved.
Description
technical field [0001] It relates to the field of computer technology, specifically to the field of deep learning technology and the field of natural language processing technology, and in particular to a text expression method, device, electronic equipment and readable storage medium. Background technique [0002] With the development of deep learning-based expression learning technology, many problems in the field of natural language processing are attributed to text expression learning, that is, how to express text fragments, such as words, sentences, articles, etc., into a continuous A low-dimensional vector of . Usually, the text can be divided into multiple fragments, the expression calculation of each fragment is performed, and the expression of each fragment is further fused as the expression of the text. [0003] However, due to the sequential expression that only considers the linear features of the text, the obtained text expression may lack semantics, resulting ...
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IPC IPC(8): G06F16/901
CPCG06F16/9024
Inventor 刘佳祥冯仕堃王硕寰黄世维何径舟孙宇吴华王海峰
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD