Papers by Marc Pàmies
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection (2020.coling-main)
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| Challenge: | XED is a multilingual fine-grained emotion dataset for English and other low-resource languages. |
| Approach: | They propose a multilingual fine-grained emotion dataset using Plutchik's Wheel of Emotions and a projection scheme to annotate Finnish and English sentences. |
| Outcome: | The proposed dataset is based on human-annotated Finnish and English sentences and projected annotations for 30 additional languages. |
A weakly supervised textual entailment approach to zero-shot text classification (2023.eacl-main)
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Marc Pàmies, Joan Llop, Francesco Multari, Nicolau Duran-Silva, César Parra-Rojas, Aitor Gonzalez-Agirre, Francesco Alessandro Massucci, Marta Villegas
| Challenge: | Existing methods to train on weakly supervised datasets are expensive due to the computational cost of pre-training. |
| Approach: | They propose a method that trains on a weakly supervised dataset that is used as a proxy for a textual entailment problem and a target zero-shot text classification task. |
| Outcome: | The proposed model achieves state-of-the-art performance in the scientific domain and competitive results in other areas. |