Carla Perez Almendros — accepted AI-conference papers

2024

Do Large Language Models Understand Mansplaining? Well, Actually...

Carla Perez Almendros, Jose Camacho-Collados

COLING 2024main

Gender bias has been widely studied by the NLP community. However, other more subtle variations of it, such as mansplaining, have yet received little attention. Mansplaining is a discriminatory behaviour that consists of a condescending treatment or discourse towards women. In this paper, we introdu…

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2020

Don’t Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities

Carla Perez Almendros, Luis Espinosa Anke, Steven Schockaert

COLING 2020main

In this paper, we introduce a new annotated dataset which is aimed at supporting the development of NLP models to identify and categorize language that is patronizing or condescending towards vulnerable communities (e.g. refugees, homeless people, poor families). While the prevalence of such languag…

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