@inproceedings{de-bruyne-2023-paradox,
title = "The Paradox of Multilingual Emotion Detection",
author = "De Bruyne, Luna",
editor = "Barnes, Jeremy and
De Clercq, Orph{\'e}e and
Klinger, Roman",
booktitle = "Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, {\&} Social Media Analysis",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.wassa-1.40/",
doi = "10.18653/v1/2023.wassa-1.40",
pages = "458--466",
abstract = "The dominance of English is a well-known issue in NLP research. In this position paper, I turn to state-of-the-art psychological insights to explain why this problem is especially persistent in research on automatic emotion detection, and why the seemingly promising approach of using multilingual models to include lower-resourced languages might not be the desired solution. Instead, I campaign for the use of models that acknowledge linguistic and cultural differences in emotion conceptualization and verbalization. Moreover, I see much potential in NLP to better understand emotions and emotional language use across different languages."
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%0 Conference Proceedings
%T The Paradox of Multilingual Emotion Detection
%A De Bruyne, Luna
%Y Barnes, Jeremy
%Y De Clercq, Orphée
%Y Klinger, Roman
%S Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F de-bruyne-2023-paradox
%X The dominance of English is a well-known issue in NLP research. In this position paper, I turn to state-of-the-art psychological insights to explain why this problem is especially persistent in research on automatic emotion detection, and why the seemingly promising approach of using multilingual models to include lower-resourced languages might not be the desired solution. Instead, I campaign for the use of models that acknowledge linguistic and cultural differences in emotion conceptualization and verbalization. Moreover, I see much potential in NLP to better understand emotions and emotional language use across different languages.
%R 10.18653/v1/2023.wassa-1.40
%U https://aclanthology.org/2023.wassa-1.40/
%U https://doi.org/10.18653/v1/2023.wassa-1.40
%P 458-466
Markdown (Informal)
[The Paradox of Multilingual Emotion Detection](https://aclanthology.org/2023.wassa-1.40/) (De Bruyne, WASSA 2023)
ACL
- Luna De Bruyne. 2023. The Paradox of Multilingual Emotion Detection. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 458–466, Toronto, Canada. Association for Computational Linguistics.