no code implementations • SemEval (NAACL) 2022 • Gustavo Lorentz, Viviane Moreira
This paper describes INF-UFRGS submission for SemEval-2022 Task 5 Multimodal Automatic Misogyny Identification (MAMI).
no code implementations • SemEval (NAACL) 2022 • Lucas Pessutto, Viviane Moreira
This paper describes the system submitted by our team (UFRGSent) to SemEval-2022 Task 10: Structured Sentiment Analysis.
no code implementations • 8 Oct 2023 • Ana L. C. Bazzan, Anderson R. Tavares, André G. Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luis Carbonera, Luís C. Lamb, Mariana Recamonde-Mendoza, Thiago L. T. da Silveira, Viviane Moreira
With no intent to exhaust the subject, we explore the AI applications that are redefining sectors of the economy, impacting society and humanity.
no code implementations • LREC 2020 • Cleber Alc{\^a}ntara, Viviane Moreira, Diego Feijo
However, this method is insufficient due to the high volume of publications.
no code implementations • LREC 2020 • Bernardo Consoli, Joaquim Santos, Diogo Gomes, Fabio Cordeiro, Renata Vieira, Viviane Moreira
Finally, we achieved state-of-the-art results for this domain with one of our embeddings, and we performed an error analysis on the language model that achieved the best results.
no code implementations • RANLP 2019 • Diego Feijo, Viviane Moreira
In the context of text summarization, texts in the legal domain have peculiarities related to their length and to their specialized vocabulary.
no code implementations • LREC 2014 • Bruno Laranjeira, Viviane Moreira, Aline Villavicencio, Carlos Ramisch, Maria Jos{\'e} Finatto
Comparable corpora have been used as an alternative for parallel corpora as resources for computational tasks that involve domain-specific natural language processing.