Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages-Reference-Cited by-同舟云学术

Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages

Published:2022-06-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 33rd ACM Conference on Hypertext and Social Media
language:
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Author:

Das Mithun¹,Banerjee Somnath²,Mukherjee Animesh³

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India, India

2. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India

3. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511095.3531277

Reference39 articles.

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2. Automatic Detection of Offensive Language for Urdu and Roman Urdu

3. UrduThreat@ FIRE2021: Shared Track on Abusive Threat Identification in Urdu

4. Deep Learning for Hate Speech Detection in Tweets

5. Somnath Banerjee Maulindu Sarkar Nancy Agrawal Punyajoy Saha and Mithun Das. 2021. Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages. arXiv preprint arXiv:2111.13974(2021). Somnath Banerjee Maulindu Sarkar Nancy Agrawal Punyajoy Saha and Mithun Das. 2021. Exploring Transformer Based Models to Identify Hate Speech and Offensive Content in English and Indo-Aryan Languages. arXiv preprint arXiv:2111.13974(2021).

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