Word Embeddings and Gender Stereotypes in Swedish and English

By Rasmus Précenth. 2019

8 citations recorded by the source corpus.

Subfields: Natural Language Processing, AI Ethics, Fairness & Society

Citations in the corpus

• Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020, neutral): “…(2019); Karve et al. (2019); Kurita et al. (2019); Lauscher and Glavaš (2019); Lee et al. (2019); Manzini et al. (2019); Mayfield et al. (2019); Précenth (2019); Pujari et al. (2019); Ruane et al. (2019); Stanovsky et al. (2019); Sun et al. (2019); Tan and Celis (2019); Webster et al. (2019);…”
• Theories of “Gender” in NLP Bias Research (2022, unknown): “1007/s00521-019-04144-6 [109] Rasmus Précenth.”