On the Readability of Kernel-based Deep Learning Models in Semantic Role Labeling Tasks over Multiple Languages

Sentence embeddings are effective input vectors for the neural learning of a number of inferences about content and meaning. Unfortunately, most of such decision processes are epistemologically opaque as for the limited interpretability of the acquired neural models based on the involved embeddings....

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Bibliografski detalji
Izdano u:URI:https://journals.openedition.org/ijcol,
Glavni autori: Rossini, Daniele, Croce, Danilo, Basili, Roberto
Format: Article ou chapitre numérique
Jezik:Anglais
Izdano: IJCoL 2020
Online pristup:Accès Université d'Orléans et IFPM
Accès Université d'Orléans et IFPM

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