Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers.

@inproceedings{mendes-2023-quantifying, author = {Gon\c{c}alo Azevedo Mendes and Bruno Martins}, editor = {Jaap Kamps and Lorraine Goeuriot and Fabio Crestani and Maria Maistro and Hideo Joho and Brian Davis and Cathal Gurrin and Udo Kruschwitz and Annalina Caputo}, title = {{Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers}}, booktitle = {{Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {13980}, pages = {84--100}, publisher = {Springer}, year = {2023}, url = {https://doi.org/10.1007/978-3-031-28244-7_6}, doi = {https://doi.org/10.1007/978-3-031-28244-7_6} }