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...
Enregistré dans:
| Dans: | URI:https://journals.openedition.org/ijcol, |
|---|---|
| Auteurs principaux: | , |
| Format: | Article ou chapitre numérique |
| Langue: | Anglais |
| Publié: |
IJCoL
2020
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| Accès en ligne: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |