We introduce XED, a multilingual fine-grained human-annotated emotion dataset. The dataset consists of human-annotated Finnish (25k) and English sentences (30k), as well as projected annotations for 43 additional languages, providing new resources to many low-resource languages. We use Plutchik’s core emotions to annotate the dataset with the addition of neutral. The dataset is carefully evaluated using language-specific BERT to show that XED performs on par with other similar datasets and is therefore a useful tool for sentiment analysis and emotion detection.
|Title of host publication||The 28th International Conference on Computational Linguistics : COLING 2020|
|Publication status||Accepted/In press - 2020|
|MoE publication type||A4 Article in conference proceedings|
|Event||COLING 2020 - Online|
Duration: 8 Dec 2020 → 13 Dec 2020