What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts

Sanja Stajner, Seren Yenikent, Bilal Ghanem, Marc Franco-Salvador


Abstract
According to the self-determination theory, the levels of satisfaction of three basic needs (competence, autonomy and relatedness) have implications on people’s everyday life and career. We benchmark the novel task of automatically detecting those needs on short posts in English, by modelling it as a ternary classification task, and as three binary classification tasks. A detailed manual analysis shows that the latter has advantages in the real-world scenario, and that our best models achieve similar performances as a trained human annotator.
Anthology ID:
2021.acl-short.101
Volume:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
803–810
Language:
URL:
https://aclanthology.org/2021.acl-short.101
DOI:
10.18653/v1/2021.acl-short.101
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2021.acl-short.101.pdf