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20212023
most citedPVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20231 cited

Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment

Atharva Kulkarni, Sarah Masud, Vikram Goyal +1

Social media is awash with hateful content, much of which is often veiled with linguistic and topical diversity. The benchmark datasets used for hate speech detection do not accoun…

cs.CL20222 cited

Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter

Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya +2

The widespread diffusion of medical and political claims in the wake of COVID-19 has led to a voluminous rise in misinformation and fake news. The current vogue is to employ manual…

cs.CL20221 cited

When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues

Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar +1

Indirect speech such as sarcasm achieves a constellation of discourse goals in human communication. While the indirectness of figurative language warrants speakers to achieve certa…

cs.CL20215 cited

PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction

Atharva Kulkarni, Sunanda Somwase, Shivam Rajput +1

Active research pertaining to the affective phenomenon of empathy and distress is invaluable for improving human-machine interaction. Predicting intensities of such complex emotion…

cs.CL2021

An Attention Ensemble Approach for Efficient Text Classification of Indian Languages

Atharva Kulkarni, Amey Hengle, Rutuja Udyawar

The recent surge of complex attention-based deep learning architectures has led to extraordinary results in various downstream NLP tasks in the English language. However, such rese…