Work

BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification.

Year: 2019

Type: book-chapter

Abstract: 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.

Source: Lancaster EPrints (Lancaster University)

Authors: Tharindu Ranasinghe, Marcos Zampieri, Hansi Hettiarachchi

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3004178028

FWCI: 9.639

Cites: 12

Cited by: 50

Related to: 10