CAISA at WASSA 2022: Adapter-Tuning for Empathy Prediction
Allison Lahnala, CHARLES A. WELCH, Lucie Flek · 2022
We build a system that leverages adapters, a light weight and efficient method for leveraging large language models to perform the task Empathy and Distress prediction tasks for WASSA 2022.In our experiments, we find that stacking our empathy and distress adapters on a pretrained emotion classification adapter performs best compared to full fine-tuning approaches and emotion feature concatenation.We make our experimental code publicly available.1