no code implementations • LREC 2022 • Francielle Vargas, Jonas D‘Alessandro, Zohar Rabinovich, Fabrício Benevenuto, Thiago Pardo
Most information is passed on in the form of language.
no code implementations • RANLP 2021 • Francielle Vargas, Fabrício Benevenuto, Thiago Pardo
Statements that are intentionally misstated (or manipulated) are of considerable interest to researchers, government, security, and financial systems.
no code implementations • 27 Jan 2023 • Francielle Vargas, Kokil Jaidka, Thiago A. S. Pardo, Fabrício Benevenuto
Automated news credibility and fact-checking at scale require accurately predicting news factuality and media bias.
no code implementations • 21 Nov 2022 • Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük
The CASE 2022 extension consists of expanding the test data with more data in previously available languages, namely, English, Hindi, Portuguese, and Spanish, and adding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, document classification.
1 code implementation • RANLP 2021 • Francielle Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho, Fabrício Benevenuto, Thiago Alexandre Salgueiro Pardo
Since a lexicon-based approach is more elegant scientifically, explaining the solution components and being easier to generalize to other applications, this paper provides a new approach for offensive language and hate speech detection on social media.