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Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques
Siva Rajesh Kasa, Aniket Goel, Karan Gupta +4
Ordinal Classification (OC) is a widely encountered challenge in Natural Language Processing (NLP), with applications in various domains such as sentiment analysis, rating predicti…
Tackling Concept Shift in Text Classification using Entailment-style Modeling
Sumegh Roychowdhury, Karan Gupta, Siva Rajesh Kasa +2
Pre-trained language models (PLMs) have seen tremendous success in text classification (TC) problems in the context of Natural Language Processing (NLP). In many real-world text cl…
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…
Representation Learning for Conversational Data using Discourse Mutual Information Maximization
Bishal Santra, Sumegh Roychowdhury, Aishik Mandal +4
Although many pretrained models exist for text or images, there have been relatively fewer attempts to train representations specifically for dialog understanding. Prior works usua…