Litcius/Paper detail

Extensive study on the underlying gender bias in contextualized word embeddings

Christine Basta, Marta R. Costa‐jussà, Noé Casas

2020Neural Computing and Applications26 citationsDOI

Topics & Concepts

Computational Science and EngineeringWord (group theory)Computer scienceNatural language processingArtificial intelligenceLinguisticsMachine learningPhilosophyTopic ModelingAuthorship Attribution and ProfilingNatural Language Processing Techniques
Extensive study on the underlying gender bias in contextualized word embeddings | Litcius