BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification.
Tharindu Ranasinghe, Marcos Zampieri, Hansi Hettiarachchi · Lancaster EPrints (Lancaster University) · 2019
In this paper, we describe the BRUMS entry to the Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) shared task 2019.The HASOC organizers provided participants with annotated datasets containing posts from social media in English, German, and Hindi (including code-mixing).We present a multilingual deep learning model to identify hate speech and offensive language in social media.Our best performing system was ranked 3 rd among 79 entries in the English track of the HASOC sub-task 1.