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Samuel Kierszbaum, Thierry Klein and Laurent Lapasset
We consider the problem of solving Natural Language Understanding (NLU) tasks characterized by domain-specific data. An effective approach consists of pre-training Transformer-based language models from scratch using domain-specific data before fine-tuni...
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Matheus Alencar da Silva, Bonfim Amaro Junior, Ramon Rudá Brito Medeiros and Plácido Rogério Pinheiro
Three-dimensional printing has advantages, such as an excellent flexibility in producing parts from the digital model, enabling the fabrication of different geometries that are both simple or complex, using low-cost materials and generating little residu...
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Henrique Lopes-Cardoso, Tomás Freitas Osório, Luís Vilar Barbosa, Gil Rocha, Luís Paulo Reis, João Pedro Machado and Ana Maria Oliveira
The Natural Language Processing (NLP) community has witnessed huge improvements in the last years. However, most achievements are evaluated on benchmarked curated corpora, with little attention devoted to user-generated content and less-resourced languag...
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Renato Carauta Ribeiro, Murilo Góes de Almeida and Edna Dias Canedo
The digital signature of documents and degrees is a topic widely discussed in the Federal Public Administration. Several laws and ordinances were created to standardize the issuance, validation and legal validity of digitally signed documents in national...
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Kudakwashe Zvarevashe and Oludayo O. Olugbara
Most of the studies on speech emotion recognition have used single-language corpora, but little research has been done in cross-language valence speech emotion recognition. Research has shown that the models developed for single-language speech recogniti...
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