UMBC at SemEval-2018 Task 8: Understanding Text about Malware

• DOI: 10.18653/v1/s18-1142
• Publication Date: 2018-05-30T04:39:56Z
• Authors: Ankur Padia; Arpita Roy; Taneeya Satyapanich; Francis Ferraro; Shimei Pan; Youngja Park; Anupam Joshi; Tim Finin
• Keywords: SemEval

We describe the systems developed by UMBC team for 2018 SemEval Task 8, SecureNLP (Semantic Extraction from CybersecUrity REports using Natural Language Processing). participated in three of sub-tasks: (1) classifying sentences as being relevant or irrelevant to malware, (2) predicting token labels sentences, and (4) attribute Malware Attribute Enumeration Characterization vocabulary defining malware characteristics. achieve F1 score 50.34/18.0 (dev/test), 22.23 (test-data), 31.98 (test-data) Task1, Task2 respectively. also make our cybersecurity embeddings publicly available at http://bit.ly/cyber2vec.