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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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Antonelli, Oronzo, Tamburini, Fabio
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Accademia University Press 2019
Urunga tuihono:https://doi.org/10.4000/ijcol.454
https://hdl.handle.net/20.500.13089/gzzw
https://journals.openedition.org/ijcol/454
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