Hugo Jair Escalante — accepted AI-conference papers

2025

GAttention: Gated Attention for the Detection of Abusive Language

Horacio Jarqu{\'i}n V{\'a}squez, Hugo Jair Escalante, Manuel Montes, Mario Ezra Aragon

EMNLP 2025

Abusive language online creates toxic environments and exacerbates social tensions, underscoring the need for robust NLP models to interpret nuanced linguistic cues. This paper introduces GAttention, a novel Gated Attention mechanism that combines the strengths of Contextual attention and Self-atten

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2024

Labeling Comic Mischief Content in Online Videos with a Multimodal Hierarchical-Cross-Attention Model

Elaheh Baharlouei, Mahsa Shafaei, Yigeng Zhang, Hugo Jair Escalante, Thamar Solorio

COLING 2024main

We address the challenge of detecting questionable content in online media, specifically the subcategory of comic mischief. This type of content combines elements such as violence, adult content, or sarcasm with humor, making it difficult to detect. Employing a multimodal approach is vital to captur…

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