Key information extraction and live broadcast content processing method, device and equipment

Abstract

The embodiment of the invention discloses a key information extraction and live broadcast content processing method, device and equipment. The scheme comprises the steps of obtaining an original text of to-be-extracted key information; determining an attention weight vector for the original text, and correspondingly generating a first target word according to the attention weight vector; judging whether the first target word is included in the original text or not; if yes, according to the attention weight vector, obtaining the attention weight of the first target word when the first target word is generated, according to the attention weight of the first target word, generating penalty data for the first target word, and according to the penalty data, continuing to generate a second target word, the penalty data is used for reducing the possibility that the continuously generated second target word is the same as the first target word; and generating key information according to the first target word and the second target word.

Description

technical field [0001] This specification relates to the field of machine learning technology, and in particular to key information extraction and live content processing methods, devices and equipment. Background technique [0002] With the development of Internet technology, the amount of information that people face in their lives has exploded. [0003] At present, in order to facilitate quick browsing of information, information providers usually extract key information from the provided information content, and summarize the information content with a large amount of data in the form of a small amount of key information such as title and introduction, so that users can Quickly understand various information and save browsing time. In order to save manpower, some information content can be automatically extracted through semantic analysis. However, in practical applications, redundant information often appears in the extracted key information, which affects user experie...

AI Technical Summary

Problems solved by technology

In order to save manpower, key information can be automatically extracted through semantic analysis for some information content. However, in practical applications, redundant information often appears in the extracted key information, which affects user experience.

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