State-of-the-art Italian dependency parsers based on neural and ensemble systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427064" target="_blank" >RIV/00216208:11320/19:10427064 - isvavai.cz</a>

Výsledek na webu

<a href="http://journals.openedition.org/ijcol/454" target="_blank" >http://journals.openedition.org/ijcol/454</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

State-of-the-art Italian dependency parsers based on neural and ensemble systems

Popis výsledku v původním jazyce

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 Dependencies project and propose a new solution based on ensemble systems. We implemented the proposed ensemble solutions by testing different techniques described in literature, obtaining very good parsing results, well above the state of the art for Italian.

Název v anglickém jazyce

State-of-the-art Italian dependency parsers based on neural and ensemble systems

Popis výsledku anglicky

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 Dependencies project and propose a new solution based on ensemble systems. We implemented the proposed ensemble solutions by testing different techniques described in literature, obtaining very good parsing results, well above the state of the art for Italian.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů