"Quantifying the Significance of Cybersecurity Text through Semantic ..."

Otgonpurev Mendsaikhan et al. (2020)

> Home

Details and statistics

DOI: 10.5220/0008913003250332

access: closed

type: Conference or Workshop Paper

metadata version: 2022-01-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icissp/MendsaikhanHYS20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icissp/MendsaikhanHYS20
Otgonpurev Mendsaikhan, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada:
Quantifying the Significance of Cybersecurity Text through Semantic Similarity and Named Entity Recognition. ICISSP 2020: 325-332

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.