42 citations · 93 across the 31 of their papers we have counts for
9 papers · 1 filter
Rationale-Guided Few-Shot Classification to Detect Abusive Language
Punyajoy Saha, Divyanshu Sheth, Kushal Kedia +2
Abusive language is a concerning problem in online social media. Past research on detecting abusive language covers different platforms, languages, demographies, etc. However, mode…
Hate Speech and Offensive Language Detection in Bengali
Mithun Das, Somnath Banerjee, Punyajoy Saha +1
Social media often serves as a breeding ground for various hateful and offensive content. Identifying such content on social media is crucial due to its impact on the race, gender,…
Decoding Demographic un-fairness from Indian Names
Medidoddi Vahini, Jalend Bantupalli, Souvic Chakraborty +1
Demographic classification is essential in fairness assessment in recommender systems or in measuring unintended bias in online networks and voting systems. Important fields like e…
Placing (Historical) Facts on a Timeline: A Classification cum Coref Resolution Approach
Sayantan Adak, Altaf Ahmad, Aditya Basu +1
A timeline provides one of the most effective ways to visualize the important historical facts that occurred over a period of time, presenting the insights that may not be so appar…
CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech
Punyajoy Saha, Kanishk Singh, Adarsh Kumar +2
Recently, many studies have tried to create generation models to assist counter speakers by providing counterspeech suggestions for combating the explosive proliferation of online…
CRUSH: Contextually Regularized and User anchored Self-supervised Hate speech Detection
Souvic Chakraborty, Parag Dutta, Sumegh Roychowdhury +1
The last decade has witnessed a surge in the interaction of people through social networking platforms. While there are several positive aspects of these social platforms, the prol…
HateCheckHIn: Evaluating Hindi Hate Speech Detection Models
Mithun Das, Punyajoy Saha, Binny Mathew +1
Due to the sheer volume of online hate, the AI and NLP communities have started building models to detect such hateful content. Recently, multilingual hate is a major emerging chal…
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages
Mithun Das, Somnath Banerjee, Animesh Mukherjee
Abusive language is a growing concern in many social media platforms. Repeated exposure to abusive speech has created physiological effects on the target users. Thus, the problem o…
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification
Mithun Das, Somnath Banerjee, Animesh Mukherjee
Social media platforms often act as breeding grounds for various forms of trolling or malicious content targeting users or communities. One way of trolling users is by creating mem…