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RECCON

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

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RECCON provides a dataset and PyTorch models designed for the task of recognizing the causes of emotions in conversational contexts. It focuses on extracting causal spans from dialogue history based on labeled emotions. The dataset includes annotated dialogues from sources like DailyDialog and IEMOCAP, formatted in JSON to facilitate analysis and model training. This resource is intended for researchers and developers working on dialogue systems and emotion recognition.

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