Triad extraction method and device of safety report text and electronic equipment

Abstract

The invention discloses a triad extraction method of a safety report text. The method comprises the steps of obtaining the safety report text; performing clause processing on the security report text; carrying out word segmentation processing and part-of-speech tagging on the result of sentence segmentation processing by utilizing a word segmentation and part-of-speech tagging joint model constructed by fusing external knowledge, and outputting a word segmentation and part-of-speech tagging result; performing syntactic analysis on the segmented words and the part-of-speech tagging result based on a dependency syntactic analysis method, and obtaining grammatical components and the relation between the grammatical components in the segmented words and the part-of-speech tagging result; performing semantic role labeling, and obtaining arguments of a given predicate; and outputting the triad in the main and called guest form. The invention further discloses a corresponding device, electronic equipment and a computer readable storage medium; the safety report text is analyzed according to a syntactic analysis mode, triples are extracted, proper nouns of the security field are added in the word segmentation process, the model can better recognize the position and length of the subject, and the meaning of the subject-called bin in the triad can be better expressed to meet the requirements of accurate information analysis and screening.

Description

Technical field[0001]The present invention relates to the field of natural language identification and analysis processing, and more particularly to a three-way set extraction method, apparatus and electronic device for a safety report text.Background technique[0002]Threat intelligence is a student safety information, threat information can be used to assist in support decision-making or security analysis, unknown source and authenticity security information will affect the correctness of decision making and analysis results. Information is divided into two aspects, information source and information itself. The source of information can be ensured reliable, but the prior art is usually used in manual ways to screen and summarize threat information from massive safety reports. It is very expensive, and the accuracy of screening is not possible to pay attention to the information itself. Low, that is, manual is unable to ensure that the key information of it can be extracted, so it i...

AI Technical Summary

Problems solved by technology

It can ensure that the source of information is reliable, but the existing technology usually uses manual methods to screen and summarize threat intelligence from massive security reports, which is very time-consuming and laborious, and the accuracy of screening is biased due to the inability to always focus on the information itself. Low, that is, it is impossible to ensure that the key information can be extracted manually. Therefore, it is necessary to optimize the method and method of text extraction in the security field, which has become a new development direction.

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