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Generating Informative CVE Description From ExploitDB Posts by
  Extractive Summarization

Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization

5 January 2021
Jiamou Sun
Zhenchang Xing
Hao Guo
Deheng Ye
Xiaohong Li
Xiwei Xu
Liming Zhu
ArXivPDFHTML

Papers citing "Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization"

4 / 4 papers shown
Title
Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK
  Framework: A Self-Distillation Approach
Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach
Benjamin Ampel
Sagar Samtani
Steven Ullman
Hsinchun Chen
25
35
0
03 Aug 2021
A Survey on Data-driven Software Vulnerability Assessment and
  Prioritization
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
T. H. Le
Huaming Chen
Muhammad Ali Babar
24
78
0
18 Jul 2021
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,433
0
22 Aug 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,255
0
14 Nov 2016
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