Abstract generation method and device, electronic equipment and medium

Abstract

The invention provides an abstract generation method and device, electronic equipment and a medium. The abstract generation method includes the steps: obtaining at least one announcement abstract of at least one enterprise and performing duplicate removal processing; preprocessing each announcement abstract subjected to duplicate removal processing to obtain at least one segmented word; inputtingat least one segmented word of each announcement abstract into a pre-trained parameter extraction model, generating at least one abstract template, and fusing at least one abstract template to obtainan abstract template library; and when an abstract generation instruction is received, extracting a target text from the abstract generation instruction, determining a text type to which the target text belongs, determining an enterprise type to which an enterprise corresponding to the target text belongs, determining a target abstract template matched with the text type and the enterprise type atthe same time, extracting information required by the target abstract template from the target text, generating an abstract corresponding to the target text, and obtaining the abstract template by analyzing the published announcement abstract, so that the abstract generation accuracy can be improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular to a summary generation method, device, electronic equipment and media. Background technique [0002] With the intensification of supervision and guidance on enterprises by regulatory agencies, enterprises are required to regularly announce major events related to securities transactions to the public, and disclose relevant statistical data, such as: prospectuses, listing announcements and other reports, for the convenience of third parties To quickly understand the operation status of the enterprise, it is necessary to provide abstracts for these reports. Since each report is generally dozens of pages long, it is necessary to read each report carefully before providing abstracts during manual processing, which affects the efficiency of abstract generation. , the way to automatically generate summaries came into being. [0003] Among the existing abstract genera...

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Problems solved by technology

[0003] Among the existing abstract generation schemes, the abstract generation scheme based on deep learning is to analyze the specific meaning of the original text of the report, and then generate the abstract of the report in a general way. Because this method needs to analyze the general meaning of the original text, it needs a large number of labeled training samples. , however, since the labeled training samples are not easy to obtain, if there are not enough training samples, the accuracy of automatic summary generation will be low

The traditional extractive summary generation scheme extracts sentences from the text. Although this method is convenient, the coherence between sentences is not strong and the readability is poor.

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