Search Results for author: Jorge Sánchez

Found 5 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”.

Cross-Modal Coordination Across a Diverse Set of Input Modalities

no code implementations29 Jan 2024 Jorge Sánchez, Rodrigo Laguna

Although this cross-modal coordination has been applied also to other pairwise combinations, extending it to an arbitrary number of diverse modalities is a problem that has not been fully explored in the literature.

Cross-Modal Retrieval Image Retrieval +1

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

Performance Variability in Zero-Shot Classification

no code implementations1 Mar 2021 Matías Molina, Jorge Sánchez

Zero-shot classification (ZSC) is the task of learning predictors for classes not seen during training.

Classification Ensemble Learning +2

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