1 code implementation • 3 Feb 2024 • Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md Shad Akhtar, Tanmoy Chakraborty
Despite the widespread adoption, there is a lack of research into how various critical aspects of pretrained language models (PLMs) affect their performance in hate speech detection.
no code implementations • 16 Nov 2023 • Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty
As hate speech continues to proliferate on the web, it is becoming increasingly important to develop computational methods to mitigate it.
1 code implementation • 21 Sep 2023 • Sarah Masud, Ashutosh Bajpai, Tanmoy Chakraborty
Although pre-trained large language models (PLMs) have achieved state-of-the-art on many NLP tasks, they lack understanding of subtle expressions of implicit hate speech.
1 code implementation • 1 Jun 2023 • Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty
Our proposed solution HEN-mBERT is a modular, multilingual, mixture-of-experts model that enriches the linguistic subspace with latent endogenous signals from history, topology, and exemplars.
1 code implementation • 8 Jun 2022 • Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md Shad Akhtar, Tanmoy Chakraborty
Curbing online hate speech has become the need of the hour; however, a blanket ban on such activities is infeasible for several geopolitical and cultural reasons.
no code implementations • 26 Jan 2022 • Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty
While reducing toxicity on online platforms continues to be an active area of research, a systematic study of various biases and their mitigation strategies will help the research community produce robust and fair models.
no code implementations • 4 Jan 2022 • Tanmoy Chakraborty, Sarah Masud
We discuss a series of our proposed solutions to limit the spread of hate speech on social media.
no code implementations • 12 Jan 2021 • Akansha Gautam, Venktesh V, Sarah Masud
One such research contribution came in the form of the Constraint@AAA12021 Shared Task on COVID19 Fake News Detection in English.
1 code implementation • 9 Oct 2020 • Sarah Masud, Subhabrata Dutta, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty
Meanwhile, to predict the retweet dynamics on Twitter, we propose RETINA, a novel neural architecture that incorporates exogenous influence using scaled dot-product attention.