no code implementations • 2 Oct 2022 • Juan Manuel Pérez, Franco Luque, Demian Zayat, Martín Kondratzky, Agustín Moro, Pablo Serrati, Joaquín Zajac, Paula Miguel, Natalia Debandi, Agustín Gravano, Viviana Cotik
In this work, we provide a novel corpus for contextualized hate speech detection based on user responses to news posts from media outlets on Twitter.
no code implementations • 30 Aug 2022 • Tomás Alves Salgueiro, Emilio Recart Zapata, Damián Furman, Juan Manuel Pérez, Pablo Nicolás Fernández Larrosa
Subjective texts have been studied by several works as they can induce certain behaviours in their users.
1 code implementation • LREC 2022 • Juan Manuel Pérez, Damián A. Furman, Laura Alonso Alemany, Franco Luque
Experiments on a benchmark of tasks involving user-generated text showed that RoBERTuito outperformed other pre-trained language models in Spanish.
1 code implementation • 17 Jun 2021 • Juan Manuel Pérez, Mariela Rajngewerc, Juan Carlos Giudici, Damián A. Furman, Franco Luque, Laura Alonso Alemany, María Vanina Martínez
In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media.
1 code implementation • SEMEVAL 2020 • Juan Manuel Pérez, Aymé Arango, Franco Luque
This paper describes our participation in SemEval-2020 Task 12: Multilingual Offensive Language Detection.
no code implementations • 10 Jul 2019 • Juan Manuel Pérez, Damián E. Aleman, Santiago N. Kalinowski, Agustín Gravano
In this work, we present a novel metric based on Information Theory that incorporates user frequency.