Add to ORKGIn this work we study gender bias in Italian word embeddings (WEs), evaluating whether they encode gender stereotypes studied in social psychology or present in the labor market. We find strong associations with gender in job-related WEs. Weaker gender stereotypes are present in other domains where grammatical gender plays a significant role
Machine learning algorithms are optimized to model statistical properties of the training data. If...
This paper addresses the gender pay gap among Italian university graduates on entry to the labour ma...
There are many forms of discrimination in our society. Why is more attention being paid to discrimin...
Publicly available off-the-shelf word embeddings that are often used in productive applications for ...
Neural machine translation systems have substantially improved the quality of translation output, ye...
Research suggests that information about stereotypical gender associated with certain occupations an...
Smart applications often rely on training data in form of text. If there is a bias in tha...
Language users have mental representations of words (e.g., occupation nouns and personal characteris...
The statistical regularities in language corpora encode well-known social biases into word embedding...
Word embeddings are useful for various applications, such as sentiment classification (Tang et al., ...
It has been shown that word embeddings can exhibit gender bias, and various methods have been propos...
There is evidence showing that stereotypical gender associated with certain occupations and characte...
Contextualized word embeddings have been replacing standard embeddings as the representational knowl...
Two experiments were conducted to verify whether the gender stereotypes associated with Italian word...
In recent years, the use of deep neural networks and dense vector embeddings for text representation...
Machine learning algorithms are optimized to model statistical properties of the training data. If...
This paper addresses the gender pay gap among Italian university graduates on entry to the labour ma...
There are many forms of discrimination in our society. Why is more attention being paid to discrimin...
Publicly available off-the-shelf word embeddings that are often used in productive applications for ...
Neural machine translation systems have substantially improved the quality of translation output, ye...
Research suggests that information about stereotypical gender associated with certain occupations an...
Smart applications often rely on training data in form of text. If there is a bias in tha...
Language users have mental representations of words (e.g., occupation nouns and personal characteris...
The statistical regularities in language corpora encode well-known social biases into word embedding...
Word embeddings are useful for various applications, such as sentiment classification (Tang et al., ...
It has been shown that word embeddings can exhibit gender bias, and various methods have been propos...
There is evidence showing that stereotypical gender associated with certain occupations and characte...
Contextualized word embeddings have been replacing standard embeddings as the representational knowl...
Two experiments were conducted to verify whether the gender stereotypes associated with Italian word...
In recent years, the use of deep neural networks and dense vector embeddings for text representation...
Machine learning algorithms are optimized to model statistical properties of the training data. If...
This paper addresses the gender pay gap among Italian university graduates on entry to the labour ma...
There are many forms of discrimination in our society. Why is more attention being paid to discrimin...