KMI-Coling at SemEval-2019 Task 6: Exploring N-grams for Offensive Language detection

Priya Rani, Atul Kr. Ojha


Abstract
In this paper, we present the system description of Offensive language detection tool which is developed by the KMI_Coling under the OffensEval Shared task. The OffensEval Shared Task was conducted in SemEval 2019 workshop. To develop the system, we have explored n-grams up to 8-gram and trained three different namely A, B and C systems for three different subtasks within the OffensEval task which achieves 79.76%, 87.91% and 44.37% accuracy respectively. The task was completed using the dataset provided to us by the OffensEval organisers was the part of OLID dataset. It consists of 13,240 tweets extracted from twitter and were annotated at three levels using crowdsourcing.
Anthology ID:
S19-2119
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:
668–671
Language:
URL:
https://www.aclweb.org/anthology/S19-2119
DOI:
10.18653/v1/S19-2119
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PDF:
http://aclanthology.lst.uni-saarland.de/S19-2119.pdf