SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using Natural Language Processing (SecureNLP)

Peter Phandi, Amila Silva, Wei Lu


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
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
697–706
Language:
URL:
https://www.aclweb.org/anthology/S18-1113
DOI:
10.18653/v1/S18-1113
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1113.pdf