Add to ORKGWagner J, Zarrieß S. Do gender neutral affixes naturally reduce gender bias in static word embeddings? In: Schaefer R, Bai X, Stede M, Zesch T, eds. Proceedings of the 18th Conference on Natural Language Processing/Konferenz zur Verarbeitung natürlicher Sprache (KONVENS 2022). Potsdam, Germany: KONVENS 2022 Organizers; 2022: 88-97
With widening deployments of natural language processing (NLP) in daily life, inherited social biase...
From Curriculum Vitae parsing to web search and recommendation systems, Word2Vec and other word embe...
From Curriculum Vitae parsing to web search and recommendation systems, Word2Vec and other word embe...
Wagner J, Zarrieß S. Do gender neutral affixes naturally reduce gender bias in static word embedding...
Words embeddings are the fundamental input to a wide and varied range of NLP applications. It has be...
Large text corpora used for creating word embeddings (vectors which represent word meanings) often c...
Large text corpora used for creating word embeddings (vectors which represent word meanings) often c...
Word embedding has become essential for natural language processing as it boosts empirical performan...
Word embeddings are useful for various applications, such as sentiment classification (Tang et al., ...
With the constant advancement of the way that we use technology, there is often a blind application ...
International audienceRecent advances in Representation Learning have discovered a strong inclinatio...
The statistical regularities in language corpora encode well-known social biases into word embedding...
The ever-increasing number of systems based on semantic text analysis is making natural language und...
Different strategies of gender-fair language have been applied to reduce a male bias, which means th...
none2noLanguage is one of the most powerful means through which sexism and gender discrimination are...
With widening deployments of natural language processing (NLP) in daily life, inherited social biase...
From Curriculum Vitae parsing to web search and recommendation systems, Word2Vec and other word embe...
From Curriculum Vitae parsing to web search and recommendation systems, Word2Vec and other word embe...
Wagner J, Zarrieß S. Do gender neutral affixes naturally reduce gender bias in static word embedding...
Words embeddings are the fundamental input to a wide and varied range of NLP applications. It has be...
Large text corpora used for creating word embeddings (vectors which represent word meanings) often c...
Large text corpora used for creating word embeddings (vectors which represent word meanings) often c...
Word embedding has become essential for natural language processing as it boosts empirical performan...
Word embeddings are useful for various applications, such as sentiment classification (Tang et al., ...
With the constant advancement of the way that we use technology, there is often a blind application ...
International audienceRecent advances in Representation Learning have discovered a strong inclinatio...
The statistical regularities in language corpora encode well-known social biases into word embedding...
The ever-increasing number of systems based on semantic text analysis is making natural language und...
Different strategies of gender-fair language have been applied to reduce a male bias, which means th...
none2noLanguage is one of the most powerful means through which sexism and gender discrimination are...
With widening deployments of natural language processing (NLP) in daily life, inherited social biase...
From Curriculum Vitae parsing to web search and recommendation systems, Word2Vec and other word embe...
From Curriculum Vitae parsing to web search and recommendation systems, Word2Vec and other word embe...