Low-Resource Counterspeech Generation for Indic Languages: The Case of Bengali and Hindi

1 code implementation • 11 Feb 2024 • Mithun Das, Saurabh Kumar Pandey, Shivansh Sethi, Punyajoy Saha, Animesh Mukherjee

With the rise of online abuse, the NLP community has begun investigating the use of neural architectures to generate counterspeech that can "counter" the vicious tone of such abusive speech and dilute/ameliorate their rippling effect over the social network.

CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction

1 code implementation • 24 Oct 2023 • Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey, Pawan Goyal

We then (pre)train an encoder-decoder model by applying contrastive learning on the decoder-generated aspect-aware sentiment representations of the masked terms.

Aspect Sentiment Triplet Extraction Aspect Term Extraction and Sentiment Classification +3

Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection

no code implementations • 22 May 2023 • Mithun Das, Saurabh Kumar Pandey, Animesh Mukherjee

So far, several studies have been performed to develop robust hate speech detection systems.

Hate Speech Detection

On the rise of fear speech in online social media

1 code implementation • 18 Mar 2023 • Punyajoy Saha, Kiran Garimella, Narla Komal Kalyan, Saurabh Kumar Pandey, Pauras Mangesh Meher, Binny Mathew, Animesh Mukherjee

Recently, social media platforms are heavily moderated to prevent the spread of online hate speech, which is usually fertile in toxic words and is directed toward an individual or a community.