@InProceedings{padia-EtAl:2018:S18-1,
  author    = {Padia, Ankur  and  Roy, Arpita  and  Satyapanich, Taneeya  and  Ferraro, Francis  and  Pan, Shimei  and  Park, Youngja  and  Joshi, Anupam  and  Finin, Tim},
  title     = {UMBC at SemEval-2018 Task 8: Understanding Text about Malware},
  booktitle = {Proceedings of The 12th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {878--884},
  abstract  = {We describe the systems developed by the UMBC team for 2018 SemEval Task 8, SecureNLP (Semantic Extraction from CybersecUrity REports using Natural Language Processing). We participated in three of the sub-tasks: (1) classifying sentences as being relevant or irrelevant to malware, (2) predicting token labels for sentences, and (4) predicting attribute labels from the Malware Attribute Enumeration and Characterization vocabulary for defining malware characteristics. We achieve F1 score of 50.34/18.0 (dev/test), 22.23 (test-data), and 31.98 (test-data) for Task1, Task2 and Task2 respectively. We also make our cybersecurity embeddings publicly available at http://bit.ly/cyber2vec .},
  url       = {http://www.aclweb.org/anthology/S18-1142}
}