Joint relational triple extraction with enhanced representation and binary tagging framework in cybersecurity-Reference-Cited by-同舟云学术

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Joint relational triple extraction with enhanced representation and binary tagging framework in cybersecurity

Published:2024-09 Issue: Volume:144 Page:104001
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Wang Xiaodi,Liu Zhonglin,Liu Jiayong

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference56 articles.

1. Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction;Chen,2022

2. Language modeling with gated convolutional networks;Dauphin,2017

3. Cyner: Information extraction from unstructured text of cti sources with noncontextual iocs;Fujii,2022

4. Data and knowledge-driven named entity recognition for cyber security;Gao;Cybersecurity,2021

5. Information extraction of cybersecurity concepts: An LSTM approach;Gasmi;Appl. Sci.,2019

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