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Network security field text data entity relationship extraction method based on multi-task learning

A multi-task learning and network security technology, applied in the field of text data entity relationship extraction, can solve the problems of heterogeneity and diversity, loose structure and organization, etc., and achieve the effect of broad application prospects

Pending Publication Date: 2022-01-28
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0009] The invention provides a text data entity relationship extraction method based on multi-task learning in the field of network security, which solves the defects of loose structure organization, heterogeneity and diversity in large-scale Internet data

Method used

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  • Network security field text data entity relationship extraction method based on multi-task learning
  • Network security field text data entity relationship extraction method based on multi-task learning
  • Network security field text data entity relationship extraction method based on multi-task learning

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example

[0117] Data set sentence: "The firewall can effectively resist the attack of hackers", which is processed by this method:

[0118] S1: First, the text sequence S={s 1 , s 2 …s n} Input into the secondary pre-trained language model ERNIE, encode it, and output the word vector sequence W={w 1 , w 2 …w n};

[0119] S2: Then, predict the relationship according to the word vector W output by ERNIE, and obtain the relationship set R, such as figure 2 shown;

[0120] S3: Splicing the two parts of R and W into X={x 1 , x 2 …x n}, and input it into Bi-GRU, use the forward and backward GRU to obtain the information hidden in the preceding and following texts, and the output sequence H={h 1 , h 2 …h n};

[0121] S4: Input sequence H={h 1 , h 2 …h n}, use two identical binary classifiers to extract the entity set E in the text, such as image 3 shown;

[0122] S5: Splicing the sequence H containing the hidden information and the entity set E, and then pairing according ...

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Abstract

The invention provides a network security field text data entity relationship extraction method based on multi-task learning. The method of the invention overcomes the problem of relationship classification among target entities in an original text, and solves the defects of loose structure organization, heterogeneity and multiple elements in large-scale internet data to a certain extent. Entity relationships are important steps for constructing a complex knowledge base system, such as text abstracts, automatic questions and answers, machine translation, search engines, knowledge maps and the like. The technology has become a key factor of technology development of natural language processing, machine intelligent learning, big data mining and the like, is related to future industrial and informatization development in China, and has very wide application prospects.

Description

technical field [0001] The invention relates to the technical field of natural language processing for artificial intelligence security, and more particularly, to a method for extracting entity relations of text data in the field of network security based on multi-task learning. Background technique [0002] The main goal of entity relationship extraction is to identify and determine the specific relationship between entity pairs from natural language texts. As the core task of information retrieval, information extraction, natural language understanding and other fields, it has always been a popular direction in the field of natural language processing. . After many years of exploration and research by Chinese and foreign scholars, relatively rich research results have been obtained. From the initial traditional rule-based and dictionary-driven methods, to traditional machine learning-based methods. In recent years, with the rise of deep learning, scholars have applied de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F40/30G06K9/62G06N3/04G06N3/08
CPCG06F40/295G06F40/30G06N3/084G06N3/048G06F18/241
Inventor 凌捷邓成汝罗玉谢锐
Owner GUANGDONG UNIV OF TECH