Zobrazeno 1 - 9
of 9
pro vyhledávání: '"de Paula, Angel Felipe Magnossão"'
With the increasing influence of social media platforms, it has become crucial to develop automated systems capable of detecting instances of sexism and other disrespectful and hateful behaviors to promote a more inclusive and respectful online envir
Externí odkaz:
http://arxiv.org/abs/2307.03385
This paper proposes a novelty approach to mitigate the negative transfer problem. In the field of machine learning, the common strategy is to apply the Single-Task Learning approach in order to train a supervised model to solve a specific task. Train
Externí odkaz:
http://arxiv.org/abs/2307.03377
This paper describes our participation in the shared task of hate speech detection, which is one of the subtasks of the CERIST NLP Challenge 2022. Our experiments evaluate the performance of six transformer models and their combination using 2 ensemb
Externí odkaz:
http://arxiv.org/abs/2303.09823
Health misinformation on search engines is a significant problem that could negatively affect individuals or public health. To mitigate the problem, TREC organizes a health misinformation track. This paper presents our submissions to this track. We u
Externí odkaz:
http://arxiv.org/abs/2112.06080
The popularity of social media has created problems such as hate speech and sexism. The identification and classification of sexism in social media are very relevant tasks, as they would allow building a healthier social environment. Nevertheless, th
Externí odkaz:
http://arxiv.org/abs/2111.04551
This paper describes our participation in the DEtection of TOXicity in comments In Spanish (DETOXIS) shared task 2021 at the 3rd Workshop on Iberian Languages Evaluation Forum. The shared task is divided into two related classification tasks: (i) Tas
Externí odkaz:
http://arxiv.org/abs/2111.04530
Publikováno v:
published at CLEF 2021
Identifying check-worthy claims is often the first step of automated fact-checking systems. Tackling this task in a multilingual setting has been understudied. Encoding inputs with multilingual text representations could be one approach to solve the
Externí odkaz:
http://arxiv.org/abs/2109.09232
Publikováno v:
Published at the CLEF 2021
This paper presents a unified user profiling framework to identify hate speech spreaders by processing their tweets regardless of the language. The framework encodes the tweets with sentence transformers and applies an attention mechanism to select i
Externí odkaz:
http://arxiv.org/abs/2109.09233
Autor:
de Paula, Angel Felipe Magnossão, Borges, Doris Feijó Leão, da Silva, Felipe Carneiro, Rossino, Luciana Sgarbi, Manfrinato, Marcos Dorigão, Verma, Vikas, Luna-Domínguez, Jorge Humberto, Magnabosco, Rodrigo, Schön, Cláudio Geraldo, Cozza, Ronaldo Câmara
Publikováno v:
In Wear 15 July 2023 524-525
