Abstract
This paper describes the SemEval 2018 shared task on semantic extraction from cybersecurity reports, which is introduced for the first time as a shared task on SemEval. This task comprises four SubTasks done incrementally to predict the characteristics of a specific malware using cybersecurity reports. To the best of our knowledge, we introduce the world’s largest publicly available dataset of annotated malware reports in this task. This task received in total 18 submissions from 9 participating teams.- Anthology ID:
- S18-1113
- Volume:
- Proceedings of the 12th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 697–706
- Language:
- URL:
- https://aclanthology.org/S18-1113
- DOI:
- 10.18653/v1/S18-1113
- Cite (ACL):
- Peter Phandi, Amila Silva, and Wei Lu. 2018. SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP). In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 697–706, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP) (Phandi et al., SemEval 2018)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/S18-1113.pdf