ACL 2023findings10 citations
On Text-based Personality Computing: Challenges and Future Directions
Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel Oberski
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.
BibTeX
@inproceedings{fang-etal-2023-text,
title = "On Text-based Personality Computing: Challenges and Future Directions",
author = "Fang, Qixiang and
Giachanou, Anastasia and
Bagheri, Ayoub and
Boeschoten, Laura and
van Kesteren, Erik-Jan and
Shafiee Kamalabad, Mahdi and
Oberski, Daniel",
editor = "Rogers, Anna and
Boyd-Graber, Jordan and
Okazaki, Naoaki",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.findings-acl.691/",
doi = "10.18653/v1/2023.findings-acl.691",
pages = "10861--10879"
}