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Parsing Italian texts together is better than parsing them alone!
- 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.
- Subjects :
- Parsing
History & Philosophy Of Science
Artificial neural network
analisi semantica
business.industry
Computer science
Gurevych (Iryna)
parsing, neural networks, italian, universal dependencies
Bos (Johan)
LAN000000
computer.software_genre
semantic parsing
elaborazione del linguaggio naturale
Computational Linguistics
CBX
Artificial intelligence
linguistica computazionale
business
computer
Natural language processing
Universal dependencies
Natural Language Processing
Subjects
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