CAISA at WASSA 2022: Adapter-Tuning for Empathy Prediction

Code

• github.com/caisa-lab/wassa-empathy-adapters
  OfficialIn paperpytorch★ 5

Abstract

We build a system that leverages adapters, a light weight and efficient method for leveraging large language models to perform the task Em- pathy and Distress prediction tasks for WASSA 2022. In our experiments, we find that stacking our empathy and distress adapters on a pre-trained emotion lassification adapter performs best compared to full fine-tuning approaches and emotion feature concatenation. We make our experimental code publicly available

Reproductions