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Emergent linguistic structure in artificial neural networks trained by self-supervision
This paper explores the knowledge of linguistic structure learned by large artificial neural networks, trained via self-supervision, whereby the model simply tries to predict a masked word in a given context. Human language communication is via sequences of words, but language understanding requires...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7720155/ https://ncbi.nlm.nih.gov/pubmed/32493748 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1907367117 |
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