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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          | Main Authors: | Oronzo Antonelli, Fabio Tamburini | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | Accademia University Press
    
        2019-06-01 | 
| Series: | IJCoL | 
| Online Access: | https://journals.openedition.org/ijcol/454 | 
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