1 citations · 1 across the 3 of their papers we have counts for
5 papers · 1 filter
Predicting Sentence-Level Factuality of News and Bias of Media Outlets
Francielle Vargas, Kokil Jaidka, Thiago A. S. Pardo +1
Automated news credibility and fact-checking at scale require accurately predicting news factuality and media bias. This paper introduces a large sentence-level dataset, titled "Fa…
Contextual-Lexicon Approach for Abusive Language Detection
Francielle Vargas, Fabiana Rodrigues de Góes, Isabelle Carvalho +2
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 ap…
HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection
Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes +2
Due to the severity of the social media offensive and hateful comments in Brazil, and the lack of research in Portuguese, this paper provides the first large-scale expert annotated…
Studying Dishonest Intentions in Brazilian Portuguese Texts
Francielle Alves Vargas, Thiago Alexandre Salgueiro Pardo
Previous work in the social sciences, psychology and linguistics has show that liars have some control over the content of their stories, however their underlying state of mind may…
SEMA: an Extended Semantic Evaluation Metric for AMR
Rafael T. Anchieta, Marco A. S. Cabezudo, Thiago A. S. Pardo
Abstract Meaning Representation (AMR) is a recently designed semantic representation language intended to capture the meaning of a sentence, which may be represented as a single-ro…