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Turn-Level Empathy Prediction Using Psychological Indicators (2407.08607v1)
Published 11 Jul 2024 in cs.CL
Abstract: For the WASSA 2024 Empathy and Personality Prediction Shared Task, we propose a novel turn-level empathy detection method that decomposes empathy into six psychological indicators: Emotional Language, Perspective-Taking, Sympathy and Compassion, Extroversion, Openness, and Agreeableness. A pipeline of text enrichment using a LLM followed by DeBERTA fine-tuning demonstrates a significant improvement in the Pearson Correlation Coefficient and F1 scores for empathy detection, highlighting the effectiveness of our approach. Our system officially ranked 7th at the CONV-turn track.
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- Shaz Furniturewala (7 papers)
- Kokil Jaidka (24 papers)