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Parsing Italian texts together is better than parsing them alone!

Authors :
Oronzo Antonelli
Fabio Tamburini
Cabrio E., Mazzei A. Tamburini, F.
Antonelli, Oronzo
Tamburini, Fabio
Source :
Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018 ISBN: 9788831978682, CLiC-it
Publication Year :
2019
Publisher :
Accademia University Press, 2019.

Abstract

In this paper we present a work aimed at testing the most advanced, state-of-the-art syntactic parsers based on deep neural networks (DNN) on Italian. We made a set of experiments by using the Universal Dependencies benchmarks and propose a new solution based on ensemble systems obtaining very good performances. In questo contributo presentia-mo alcuni esperimenti volti a verificare le prestazioni dei più avanzati parser sintattici sull’italiano utilizzando i treebank disponibili nell’ambito delle Universal Dependencies. Proponiamo inoltre un nuovo sistema basato sull’ ensemble par-sing che ha mostrato ottime prestazioni.

Details

Language :
English
ISBN :
978-88-319-7868-2
ISBNs :
9788831978682
Database :
OpenAIRE
Journal :
Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018 ISBN: 9788831978682, CLiC-it
Accession number :
edsair.doi.dedup.....6c516577bd2180f41629c429aa047309