论文标题
基于人格和人际反应预测的及时系统
Prompt-based System for Personality and Interpersonal Reactivity Prediction
论文作者
论文摘要
本文介绍了我们提出的关于主观性，情感和社交媒体分析计算方法的研讨会方法（WASSA）2022关于人格预测（PER）和反应性指数预测（IRI）的共同任务。在本文中，我们采用基于预训练的语言模型的基于及时的学习方法来完成这些任务。具体而言，该提示旨在提供有关增强预训练模型的额外个性化信息的知识。采用数据增强和模型集合以获得更好的结果。此外，我们还提供了在线软件演示和软件的代码供进一步研究。
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.
