1 citations · 1 across the 3 of their papers we have counts for
7 papers
Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection
Brage Eilertsen, Røskva Bjørgfinsdóttir, Francielle Vargas +1
The opaque nature of deep learning models presents significant challenges for the ethical deployment of hate speech detection systems. To address this limitation, we introduce Supe…
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…
Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022
Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan +12
We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection. This task is a continuation of CASE 2021 that consists of four subtasks that are i) docume…
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…
Identifying Offensive Expressions of Opinion in Context
Francielle Alves Vargas, Isabelle Carvalho, Fabiana Rodrigues de Góes
Classic information extraction techniques consist in building questions and answers about the facts. Indeed, it is still a challenge to subjective information extraction systems to…
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…