RoBERTuito: a pre-trained language model for social media text in Spanish

• URL: http://arxiv.org/abs/2111.09453v1
• Date: Thu, 18 Nov 2021 00:10:25 GMT
• Title: RoBERTuito: a pre-trained language model for social media text in Spanish
• Authors: Juan Manuel P\'erez, Dami\'an A. Furman, Laura Alonso Alemany, Franco Luque
• Abstract summary: RoBERTuito is a pre-trained language model for user-generated content in Spanish. We trained RoBERTuito on 500 million tweets in Spanish.
• Score: 1.376408511310322
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Since BERT appeared, Transformer language models and transfer learning have become state-of-the-art for Natural Language Understanding tasks. Recently, some works geared towards pre-training, specially-crafted models for particular domains, such as scientific papers, medical documents, and others. In this work, we present RoBERTuito, a pre-trained language model for user-generated content in Spanish. We trained RoBERTuito on 500 million tweets in Spanish. Experiments on a benchmark of 4 tasks involving user-generated text showed that RoBERTuito outperformed other pre-trained language models for Spanish. In order to help further research, we make RoBERTuito publicly available at the HuggingFace model hub.

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