no code implementations • ACL (WOAH) 2021 • Paula Fortuna, Vanessa Cortez, Miguel Sozinho Ramalho, Laura Pérez-Mayos
Hate speech-related lexicons have been proved to be useful for many tasks such as data collection and classification.
no code implementations • ACL (NLP4PosImpact) 2021 • Paula Fortuna, Laura Pérez-Mayos, Ahmed Abura’Ed, Juan Soler-Company, Leo Wanner
Based on a list of keywords retrieved from the literature and revised in view of the task, we select from this corpus articles that can be considered to be on NLP4SG according to our definition and analyze them in terms of trends along the time line, etc.
no code implementations • EMNLP 2021 • Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner
This calls for a study of the impact of pretraining data size on the knowledge of the models.
no code implementations • Findings (ACL) 2021 • Laura Pérez-Mayos, Alba Táboas García, Simon Mille, Leo Wanner
More specifically, we evaluate the syntactic generalization potential of the models on English and Spanish tests, comparing the syntactic abilities of monolingual and multilingual models on the same language (English), and of multilingual models on two different languages (English and Spanish).
no code implementations • EACL 2021 • Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner
The adaptation of pretrained language models to solve supervised tasks has become a baseline in NLP, and many recent works have focused on studying how linguistic information is encoded in the pretrained sentence representations.