How language-dependent is emotion detection? Evidence from multilingual BERT
- Publication type
- C1
- Publication status
- Published
- Authors
- De Bruyne, L., Singh, P., De Clercq, O., Lefever, E., & Hoste, V.
- Series
- Proceedings of the 2nd Workshop on Multi-lingual Representation Learning (MRL)
- Pagination
- 76-85
- Publisher
- Association for Computational Linguistics
- Conference
- 2nd Workshop on Multi-lingual Representation Learning (MRL) (Abu Dhabi, United Arab Emirates (Hybrid))
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- (.pdf)
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Abstract
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.