Fine-grained cybersecurity entity typing based on multimodal representation learning-Reference-Cited by-同舟云学术

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Fine-grained cybersecurity entity typing based on multimodal representation learning

Published:2023-09-15 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wang BaoLei,Zhang Xuan^ORCID,Wang JiShu,Gao Chen,Duan Qing,Li LinYu

Funder

National Natural Science Foundation of China

Science Foundation of Young and Middle-aged Academic and Technical Leaders of Yunnan

Science Foundation of Yunnan Jinzhi Expert Workstation

Major Project of Yunnan Natural Science

Science and Technology Project of Yunnan Power Grid Co., Ltd.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16839-z.pdf

Reference50 articles.

1. Bridges R A, Jones C L, MD Iannacone, et al. (2013) Automatic labeling for entity extraction in cyber security[J]. Comput Sci

2. Joshi A, Lal R, Finin T, Joshi A (2013) “Extracting cybersecurity related linked data from text,” in Proceedings of the 7th IEEE International Conference on Semantic Computing. IEEE Comput Soc Press

3. Huang S, Sha Y, Li R (2022) A Chinese named entity recognition method for small-scale dataset based on lexicon and unlabeled data[J]. Multimed Tools Appl:1–22

4. Choi E, Levy O, Choi Y, Zettlemoyer L. (2018) Ultra-fine entity typing. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15–20, 2018, volume 1: long papers, pages 87–96. Association for Computational Linguistics

5. Del Corro L, Abujabal A, Gemulla R, Weikum G. (2015) FINET: context-aware fine-grained named entity typing. In Proceedings of the 2015 Conference on empirical methods in natural language processing, EMNLP 2015, Lisbon, Portugal, September 17–21, 2015, pages 868–878. The Association for Computational Linguistics

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