@inproceedings{padia-etal-2018-umbc,
title = "{UMBC} at {S}em{E}val-2018 Task 8: Understanding Text about Malware",
author = "Padia, Ankur and
Roy, Arpita and
Satyapanich, Taneeya and
Ferraro, Francis and
Pan, Shimei and
Park, Youngja and
Joshi, Anupam and
Finin, Tim",
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S18-1142",
doi = "10.18653/v1/S18-1142",
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 \url{http://bit.ly/cyber2vec}.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T UMBC at SemEval-2018 Task 8: Understanding Text about Malware
%A Padia, Ankur
%A Roy, Arpita
%A Satyapanich, Taneeya
%A Ferraro, Francis
%A Pan, Shimei
%A Park, Youngja
%A Joshi, Anupam
%A Finin, Tim
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F padia-etal-2018-umbc
%X 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.
%R 10.18653/v1/S18-1142
%U https://aclanthology.org/S18-1142
%U https://doi.org/10.18653/v1/S18-1142
%P 878-884
Markdown (Informal)
[UMBC at SemEval-2018 Task 8: Understanding Text about Malware](https://aclanthology.org/S18-1142) (Padia et al., SemEval 2018)
ACL
- Ankur Padia, Arpita Roy, Taneeya Satyapanich, Francis Ferraro, Shimei Pan, Youngja Park, Anupam Joshi, and Tim Finin. 2018. UMBC at SemEval-2018 Task 8: Understanding Text about Malware. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 878–884, New Orleans, Louisiana. Association for Computational Linguistics.