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Title
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How language-dependent is emotion detection? Evidence from multilingual BERT
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Author
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Abstract
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| As emotion analysis in text has gained a lot of attention in the field of natural language processing, differences in emotion expression across languages could have consequences for how emotion detection models work. We evaluate the language-dependence of an mBERT-based emotion detection model by comparing language identification performance before and after fine-tuning on emotion detection, and performing (adjusted) zero-shot experiments to assess whether emotion detection models rely on language-specific information. When dealing with typologically dissimilar languages, we found evidence for the language-dependence of emotion detection. |
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Language
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English
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Source (book)
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Proceedings of The 2nd Workshop on Multi-lingual Representation Learning (MRL), December 8, 2022
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Publication
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Association for Computational Linguistics
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2022
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ISBN
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978-1-959429-16-6
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Volume/pages
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p. 76-85
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