Barbara Poblete

2 weeks ago | journals.plos.org | Ayme Arango Monnar |Jorge Rojas |Barbara Poblete

The third author’s name is spelled incorrectly. The correct name is: Barbara Poblete. The correct citation is: Monnar AA, Perez Rojas J, Poblete B (2024) Cross-lingual hate speech detection using domain-specific word embeddings. PLOS ONE 19(7): e0306521. https://doi.org/10.1371/journal.pone.0306521. There are errors in the author affiliations.

Jul 24, 2024 | cacm.acm.org | Fabio Kon |Barbara Poblete |Sebastián Uchitel |Jeremy Roschelle

It is with great pleasure that we introduce the second edition of the Communications of the ACM Latin American Regional Special Section. In this edition, we use this opportunity to showcase some of the region’s most interesting as well as impactful advancements in computer science. Latin America is a highly heterogeneous continent with great diversity in culture, geography, demography, ethnicities, languages, and science and technology.

Jul 12, 2024 | cacm.acm.org | Fabio Kon |Barbara Poblete |Sebastián Uchitel |Mara Borchardt

When it comes to computer science, Latin American researchers have made significant contributions to multiple areas.

Aug 31, 2023 | amazon.science | Rongting Zhang |Barbara Poblete |Vanessa Murdock |Siyu Liao

Many public pre-trained word embeddings have been shown to encode different types of biases. Embeddings are often obtained from training on large pre-existing corpora, and therefore resulting biases can be a reflection of unfair representations in the original data. Bias, in this scenario, is a challenging problem since current mitigation techniques require knowing and understanding existing biases in the embedding, which is not always possible.