HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo

Alexander Oberstrass, Julia Romberg, Anke Stoll, Stefan Conrad


Abstract
We present our results for OffensEval: Identifying and Categorizing Offensive Language in Social Media (SemEval 2019 - Task 6). Our results show that context embeddings are important features for the three different sub-tasks in connection with classical machine and with deep learning. Our best model reached place 3 of 75 in sub-task B with a macro F1 of 0.719. Our approaches for sub-task A and C perform less well but could also deliver promising results.
Anthology ID:
S19-2112
Volume:
Proceedings of the 13th International Workshop on Semantic Evaluation
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota, USA
Venue:
*SEMEVAL
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
628–634
Language:
URL:
https://www.aclweb.org/anthology/S19-2112
DOI:
10.18653/v1/S19-2112
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PDF:
http://aclanthology.lst.uni-saarland.de/S19-2112.pdf