HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports
Mingming Fu, Xuemin Zhao, Yonghong Yan · 2018
This paper describes HCCL team systems that participated in SemEval 2018 Task 8: Se-cureNLP (Semantic Extraction from cybersecurity reports using NLP).To solve the problem, our team applied a neural network architecture that benefits from both word and character level representaions automatically, by using combination of Bi-directional LSTM, CNN and CRF (Ma and Hovy, 2016).Our system is truly end-to-end, requiring no feature engineering or data preprocessing, and we ranked 4th in the subtask 1, 7th in the subtask 2 and 3rd in the SubTask2-relaxed.