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Schmahl, Katja Geertruida (author), Viering, T.J. (author), Makrodimitris, S. (author), Naseri Jahfari, A. (author), Tax, D.M.J. (author), Loog, M. (author)
Large text corpora used for creating word embeddings (vectors which represent word meanings) often contain stereotypical gender biases. As a result, such unwanted biases will typically also be present in word embeddings derived from such corpora and downstream applications in the field of natural language processing (NLP). To minimize the effect...
conference paper 2020