Is there Gender bias and stereotype in Portuguese Word Embeddings?

By Brenda Salenave Santana, Vinicius Woloszyn, Leandro Krug Wives. 2018

12 citations recorded by the source corpus.

In this work, we propose an analysis of the presence of gender bias associated with professions in Portuguese word embeddings. The objective of this work is to study gender implications related to stereotyped professions for women and men in the context of the Portuguese language.

Subfields: Gender Studies, Language and Linguistics, Sociology and Political Science, Natural Language Processing, Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Gender Studies

1. Hal Daumé Iii
2. Hanna M. Wallach

In Language and Linguistics

1. Hal Daumé Iii
2. Su Lin Blodgett

In Sociology and Political Science

1. Su Lin Blodgett
2. Hal Daumé Iii
3. Hanna M. Wallach
4. Solon Barocas

In Natural Language Processing

1. Hal Daumé Iii
2. Su Lin Blodgett
3. Henrik Björklund
4. Hannah Devinney
5. Jenny Björklund
6. Hanna M. Wallach
7. Solon Barocas
8. Yulia Tsvetkov

In Safety, Robustness & Interpretability

1. Su Lin Blodgett
2. Hal Daumé Iii
3. Hanna M. Wallach
4. Henrik Björklund
5. Hannah Devinney
6. Jenny Björklund
7. Solon Barocas
8. Emilio Ferrara

Citations in the corpus

• Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020, background): “…Caliskan et al. (2017); McCurdy and Serbetçi (2017); Rudinger et al. (2017); Zhao et al. (2017); Curry and Rieser (2018); Díaz et al. (2018); Santana et al. (2018); Sutton et al. (2018); Zhao et al. (2018a,b); Agarwal et al. (2019); Basta et al. (2019); Bhaskaran and Bhallamudi (2019);…”
• Theories of “Gender” in NLP Bias Research (2022, background): “org/W19-6104 [122] Brenda Salenave Santana, Vinicius Woloszyn, and Leandro Krug Wives.”