Slovene and Croatian word embeddings in terms of gender occupational analogies
In recent years, the use of deep neural networks and dense vector embeddings for text representation have led to excellent results in the field of computational understanding of natural language. It has also been shown that word embeddings often capture gender, racial and other types of bias. The ar...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
University of Ljubljana Press (Založba Univerze v Ljubljani)
2021-07-01
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| Series: | Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave |
| Assuntos: | |
| Acceso en liña: | https://journals.uni-lj.si/slovenscina2/article/view/9883 |
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