State-of-the-art Italian dependency parsers based on neural and ensemble systems

In this paper we present a work which aims to test the most advanced, state-of-the-art syntactic dependency parsers based on deep neural networks (DNN) on Italian. We made a large set of experiments by using two Italian treebanks containing different text types downloaded from the Universal Dependen...

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Autores principales: Oronzo Antonelli, Fabio Tamburini
Formato: article
Lenguaje:EN
Publicado: Accademia University Press 2019
Materias:
H
Acceso en línea:https://doaj.org/article/cd2f1baef5c24e0288441613f6020325
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