Villani at SemEval-2018 Task 8: Semantic Extraction from Cybersecurity Reports using Representation Learning
2018-06-01SEMEVAL 2018Unverified0· sign in to hype
Pablo Loyola, Kugamoorthy Gajananan, Yuji Watanabe, Fumiko Satoh
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In this paper, we describe our proposal for the task of Semantic Extraction from Cybersecurity Reports. The goal is to explore if natural language processing methods can provide relevant and actionable knowledge to contribute to better understand malicious behavior. Our method consists of an attention-based Bi-LSTM which achieved competitive performance of 0.57 for the Subtask 1. In the due process we also present ablation studies across multiple embeddings and their level of representation and also report the strategies we used to mitigate the extreme imbalance between classes.