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Title
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The paradox of multilingual emotion detection
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Author
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Abstract
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| 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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Language
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English
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Source (book)
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Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, July 14, 2023
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Publication
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Association for Computational Linguistics
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2023
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ISBN
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978-1-959429-87-6
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DOI
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10.18653/V1/2023.WASSA-1.40
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Volume/pages
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p. 458-466
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Full text (Publisher's DOI)
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