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Hi Guys or Hi folks? Navigating Gender Bias and Inclusive Language in Translation Technologies

Beatrice Savoldi will present one of her recent work
entitle “Hi Guys or Hi folks? Navigating Gender Bias and Inclusive Language in Translation Technologies”.

Abstract

Societal gender asymmetries and inequalities can be embedded in our communication practices and perpetuated in language technologies, including Machine Translation (MT) systems used as scale. In this presentation, we will delve into the current landscape of MT and gender bias, as well as current proposals towards more inclusive language. 

By focusing on English-Italian as an exemplar language pair, we will discuss the challenges and opportunities — both theoretical, technical but also linguistic —  in fostering a more equitable automatic translation. 

When: 14/03/2025 11.00

Where: Aula 3.06 Thin Client (terzo piano) – Via Sant’Ottavio 54

Categories
Meetings

GAttention: Gated Attention for the Detection of Abusive Language

Horacio Jarquin will present one of his projects
entitle “GAttention: Gated Attention for the Detection of Abusive Language”.

Abstract

Abusive language online creates toxic environments and exacerbates social tensions, underscoring the need for robust NLP models to interpret nuanced linguistic cues. This research introduces GAttention, a novel Gated Attention mechanism that combines the strengths of Contextual attention and Self-attention mechanisms to address the limitations of existing attention models within the text classification task. GAttention capitalizes on local and global query vectors by integrating the internal relationships within a sequence (Self-attention) and the global relationships among distinct sequences (Contextual attention). This combination allows for a more nuanced understanding and processing of sequence elements, which is particularly beneficial in context-sensitive text classification tasks such as the case of abusive language detection. By applying this mechanism to transformer-based encoder models, we showcase how it enhances the model’s ability to discern subtle nuances and contextual clues essential for identifying abusive language, a challenging and increasingly relevant task within NLP.

When: 21/03/2025 11.30

Where: Sala Riunioni (first floor)