Text-based personality computing (TPC) has gained many research interests in NLP. In this paper, we describe 15 challenges that we consider deserving the attention of the research community. These challenges are organized by the following topics: personality taxonomies, measurement quality, datasets, performance evaluation, modelling choices, as well as ethics and fairness. When addressing each challenge, not only do we combine perspectives from both NLP and social sciences, but also offer concrete suggestions. We hope to inspire more valid and reliable TPC research.

翻译：基于文本的人格计算（TPC）在自然语言处理领域引起了广泛的研究兴趣。本文描述了我们认为值得研究界关注的15个挑战。这些挑战按以下主题组织：人格分类体系、测量质量、数据集、性能评估、建模选择，以及伦理与公平性。在讨论每个挑战时，我们不仅结合了自然语言处理和社会科学的视角，还提出了具体建议。我们希望以此激发更有效、更可靠的TPC研究。