Probing Linguistic Knowledge in Italian Neural Language Models across Language Varieties
In this paper, we present an in-depth investigation of the linguistic knowledge encoded by the transformer models currently available for the Italian language. In particular, we investigate how the complexity of two different architectures of probing models affects the performance of the Transformer...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Accademia University Press
2022
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| オンライン･アクセス: | https://doi.org/10.4000/ijcol.965 https://hdl.handle.net/20.500.13089/h024 https://journals.openedition.org/ijcol/965 |
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