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Linguistic generalization and compositionality in modern artificial neural networks
In the last decade, deep artificial neural networks have achieved astounding performance in many natural language-processing tasks. Given the high productivity of language, these models must possess effective generalization abilities. It is widely assumed that humans handle linguistic productivity b...
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| Pubblicato in: | Philos Trans R Soc Lond B Biol Sci |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
The Royal Society
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6939347/ https://ncbi.nlm.nih.gov/pubmed/31840578 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2019.0307 |
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