Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction

Abstract

This paper describes the LingJing team's method to the Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA) 2022 shared task on Personality Prediction (PER) and Reactivity Index Prediction (IRI).In this paper, we adopt the prompt-based method with the pretrained language model to accomplish these tasks.Specifically, the prompt is designed to provide knowledge of the extra personalized information for enhancing the pre-trained model.Data augmentation and model ensemble are adopted for obtaining better results.Extensive experiments are performed, which shows the effectiveness of the proposed method.On the final submission, our system achieves a Pearson Correlation Coefficient of 0.2301 and 0.2546 on Track 3 and Track 4 respectively.We ranked 1 st on both sub-tasks.