This paper describes our proposed method for 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 learning method with the pre-trained 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. Moreover, we also provided the online software demonstration and the codes of the software for further research.
@article{arxiv.2203.12481,
title = {Prompt-based System for Personality and Interpersonal Reactivity Prediction},
author = {Bin Li and Yixuan Weng},
journal= {arXiv preprint arXiv:2203.12481},
year = {2022}
}