VerbaNexAI Lab at HOMO-MEX 2024: Multiclass and. Multilabel Detection of LGBTQ+ Phobic Content Using. Transformers. Roger David Gonzalez-Henao1,*,†, Duvan ...
Missing: LGBTQ | Show results with:LGBTQ
This paper presents a Natural Language Contents Evaluation System designed explicitly for multi-class tweet categorization, focusing on hate speech detection.
Missing: LGBTQ | Show results with:LGBTQ
3 days ago · VerbaNexAI Lab at HOMO-MEX 2024: Multiclass and Multilabel Detection of LGBTQ+ Phobic Content Using Transformers. view. electronic edition ...
Sep 4, 2024 · VerbaNexAI Lab at HOMO-MEX 2024: Multiclass and Multilabel Detection of LGBTQ+ Phobic Content Using Transformers Roger David Gonzalez-Henao ...
Oct 14, 2023 · This paper presents a Natural Language Contents Evaluation System specifically tailored for multi-class tweet categorization, focusing on hate ...
Missing: LGBTQ | Show results with:LGBTQ
The HOMO-Mex 2024 shared task targets researchers in natural language processing, hate speech detection, LGBTQ+ advocacy, music analysis, and content ...
Missing: VerbaNexAI Lab Multiclass Multilabel Transformers.
We present Homo-MEX, a novel corpus for detecting LGBT+Phobia in Mexican Spanish. In this paper, we describe our data-gathering and annotation process.
Missing: VerbaNexAI Lab Multiclass Multilabel Content Transformers.
Our submission to this study focuses on Brazil and Mexico, two countries with formal legal frameworks which should offer protection to LGBTQI+ communities.
Missing: VerbaNexAI Lab Multiclass Multilabel Detection Phobic Transformers.
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