EDAR: A pipeline for Emotion and Dialogue Act Recognition - Université de Lorraine
Communication Dans Un Congrès Année : 2025

EDAR: A pipeline for Emotion and Dialogue Act Recognition

Résumé

Individuals facing financial difficulties often make decisions driven by emotions rather than rational analysis. EDAR, a pipeline for Emotion and Dialogue Act Recognition, is designed specifically for the debt collection process in France. By integrating EDAR into decision-making systems, debt collection outcomes could be improved. The pipeline employs Machine Learning and Deep Learning models, demonstrating that smaller models with fewer parameters can achieve high performance, offering an efficient alternative to large language models.
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Dates et versions

hal-04878084 , version 1 (09-01-2025)

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  • HAL Id : hal-04878084 , version 1

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Elie Dina, Rania Ayachi Kibech, Miguel Couceiro. EDAR: A pipeline for Emotion and Dialogue Act Recognition. The 31st International Conference on Computational Linguistics (COLING 2025), Jan 2025, Abu Dhabi, United Arab Emirates. ⟨hal-04878084⟩
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