@inproceedings{kuber-etal-2025-signs,
title = "Signs of Struggle: Spotting Cognitive Distortions across Language and Register",
author = "Kuber, Abhishek and
Liscio, Enrico and
Zhang, Ruixuan and
Figueroa, Caroline and
Murukannaiah, Pradeep K.",
editor = "Inui, Kentaro and
Sakti, Sakriani and
Wang, Haofen and
Wong, Derek F. and
Bhattacharyya, Pushpak and
Banerjee, Biplab and
Ekbal, Asif and
Chakraborty, Tanmoy and
Singh, Dhirendra Pratap",
booktitle = "Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics",
month = dec,
year = "2025",
address = "Mumbai, India",
publisher = "The Asian Federation of Natural Language Processing and The Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-ijcnlp.61/",
pages = "1041--1054",
ISBN = "979-8-89176-303-6",
abstract = "Rising mental health issues among youth have increased interest in automated approaches for detecting early signs of psychological distress in digital text. One key focus is the identification of cognitive distortions, irrational thought patterns that have a role in aggravating mental distress. Early detection of these distortions may enable timely, low-cost interventions. While prior work has focused on English clinical data, we present the first in-depth study of cross-lingual and cross-register generalization of cognitive distortion detection, analyzing forum posts written by Dutch adolescents. Our findings show that while changes in language and writing style can significantly affect model performance, domain adaptation methods show the most promise"
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%0 Conference Proceedings
%T Signs of Struggle: Spotting Cognitive Distortions across Language and Register
%A Kuber, Abhishek
%A Liscio, Enrico
%A Zhang, Ruixuan
%A Figueroa, Caroline
%A Murukannaiah, Pradeep K.
%Y Inui, Kentaro
%Y Sakti, Sakriani
%Y Wang, Haofen
%Y Wong, Derek F.
%Y Bhattacharyya, Pushpak
%Y Banerjee, Biplab
%Y Ekbal, Asif
%Y Chakraborty, Tanmoy
%Y Singh, Dhirendra Pratap
%S Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
%D 2025
%8 December
%I The Asian Federation of Natural Language Processing and The Association for Computational Linguistics
%C Mumbai, India
%@ 979-8-89176-303-6
%F kuber-etal-2025-signs
%X Rising mental health issues among youth have increased interest in automated approaches for detecting early signs of psychological distress in digital text. One key focus is the identification of cognitive distortions, irrational thought patterns that have a role in aggravating mental distress. Early detection of these distortions may enable timely, low-cost interventions. While prior work has focused on English clinical data, we present the first in-depth study of cross-lingual and cross-register generalization of cognitive distortion detection, analyzing forum posts written by Dutch adolescents. Our findings show that while changes in language and writing style can significantly affect model performance, domain adaptation methods show the most promise
%U https://aclanthology.org/2025.findings-ijcnlp.61/
%P 1041-1054
Markdown (Informal)
[Signs of Struggle: Spotting Cognitive Distortions across Language and Register](https://aclanthology.org/2025.findings-ijcnlp.61/) (Kuber et al., Findings 2025)
ACL
- Abhishek Kuber, Enrico Liscio, Ruixuan Zhang, Caroline Figueroa, and Pradeep K. Murukannaiah. 2025. Signs of Struggle: Spotting Cognitive Distortions across Language and Register. In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, pages 1041–1054, Mumbai, India. The Asian Federation of Natural Language Processing and The Association for Computational Linguistics.