Search Results for author: Hernán Maina

Found 3 papers, 1 papers with code

What kinds of errors do reference resolution models make and what can we learn from them?

no code implementations Findings (NAACL) 2022 Jorge Sánchez, Mauricio Mazuecos, Hernán Maina, Luciana Benotti

Referring resolution is the task of identifying the referent of a natural language expression, for example “the woman behind the other woman getting a massage”.

A methodology to characterize bias and harmful stereotypes in natural language processing in Latin America

1 code implementation14 Jul 2022 Laura Alonso Alemany, Luciana Benotti, Hernán Maina, Lucía González, Mariela Rajngewerc, Lautaro Martínez, Jorge Sánchez, Mauro Schilman, Guido Ivetta, Alexia Halvorsen, Amanda Mata Rojo, Matías Bordone, Beatriz Busaniche

Our methodology is based on the following principles: * focus on the linguistic manifestations of discrimination on word embeddings and language models, not on the mathematical properties of the models * reduce the technical barrier for discrimination experts%, be it social scientists, domain experts or other * characterize through a qualitative exploratory process in addition to a metric-based approach * address mitigation as part of the training process, not as an afterthought

Bias Detection Decision Making +1

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