Text processing method, device and equipment and computer storage medium

Abstract

The invention discloses a text processing detection method and device, equipment and a computer storage medium. The method comprises the steps of obtaining a first text; determining a target text fragment comprising the quantity word from the first text; according to the part-of-speech of the plurality of words in the target text fragment, performing dependency grammar analysis on the plurality of words in the target text fragment to obtain a first dependency grammar relationship among the words in the target text fragment; constructing a dependency grammar relation tree according to the first dependency grammar relation; determining at least one target dependency grammar relation structure matched with a preset dependency grammar relation structure from the dependency grammar relation tree; and determining a target semantic relationship structure corresponding to the at least one target dependency grammar relationship structure according to a one-to-one correspondence relationship between a preset dependency grammar relationship structure and a preset semantic relationship structure. By adopting the text processing method, device and equipment and the computer storage medium provided by the invention, the semantic relationship between the quantity word and other words can be accurately determined.

Description

technical field [0001] The present application belongs to the technical field of data processing, and in particular relates to a text processing method, device, equipment and computer storage medium. Background technique [0002] With the increasing demand for data statistics, users often need to extract data related to numerical values ​​from a large amount of text, for example, quantifiers. Since these data also need to be summarized and visualized, therefore, in addition to the quantifiers themselves, it is also necessary to extract quantifiers and Semantic relationships among other textual information. For example, it is meaningless to extract information about "car sales increase by 4%" if the user only extracts "4%", but if the user can extract the relationship between "growth" and "4%", it can be determined that it is An increase of 4%, if the relationship between "car sales" and "4%" can be extracted, it can be determined that 4% is describing "car sales". [0003]...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a text processing method, device, device, and computer storage medium, which can at least solve the problem in the prior art that the semantic relationship between quantifiers and other words cannot be accurately determined

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