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20172022
most citedAn End-to-End Network for Emotion-Cause Pair Extraction

21 citations · 64 across the 24 of their papers we have counts for

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31 papers · 1 filter

cs.CL20223 cited

Multi-Task Learning Framework for Extracting Emotion Cause Span and Entailment in Conversations

Ashwani Bhat, Ashutosh Modi

Predicting emotions expressed in text is a well-studied problem in the NLP community. Recently there has been active research in extracting the cause of an emotion expressed in tex…

cs.CL20228 cited

COGMEN: COntextualized GNN based Multimodal Emotion recognitioN

Abhinav Joshi, Ashwani Bhat, Ayush Jain +2

Emotions are an inherent part of human interactions, and consequently, it is imperative to develop AI systems that understand and recognize human emotions. During a conversation in…

cs.CL2021

Fine-Grained Emotion Prediction by Modeling Emotion Definitions

Gargi Singh, Dhanajit Brahma, Piyush Rai +1

In this paper, we propose a new framework for fine-grained emotion prediction in the text through emotion definition modeling. Our approach involves a multi-task learning framework…

cs.CL2021

ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation

Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam +4

An automated system that could assist a judge in predicting the outcome of a case would help expedite the judicial process. For such a system to be practically useful, predictions…

cs.CL2021

NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action

Pradip Swarnakar, Ashutosh Modi

Climate change is a burning issue of our time, with the Sustainable Development Goal (SDG) 13 of the United Nations demanding global climate action. Realizing the urgency, in 2015…

cs.CL2021

BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables

Aditya Jindal, Ankur Gupta, Jaya Srivastava +4

Recently, there has been an interest in factual verification and prediction over structured data like tables and graphs. To circumvent any false news incident, it is necessary to n…