On Text-based Personality Computing: Challenges and Future Directions
Publication date
2023-07
Authors
Fang, Qixiang
Giachanou, Anastasia
Bagheri, Ayoub
Boeschoten, Laura
van Kesteren, Erik Jan
Kamalabad, Mahdi Shafiee
Oberski, Daniel Leonard
Editors
Advisors
Supervisors
Document Type
Part of book
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License
cc_by
Abstract
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 NLP 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.
Keywords
Computer Science Applications, Linguistics and Language, Language and Linguistics
Citation
Fang, Q, Giachanou, A, Bagheri, A, Boeschoten, L, van Kesteren, E J, Kamalabad, M S & Oberski, D L 2023, On Text-based Personality Computing : Challenges and Future Directions. in Findings of the Association for Computational Linguistics, ACL 2023. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, pp. 10861-10879, 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, Toronto, Canada, 9/07/23. https://doi.org/10.18653/v1/2023.findings-acl.691, conference