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A BiLSTM-CRF PoS-tagger for Italian tweets using morphological information

This paper presents some experiments for the construction of an highperformance PoS-tagger for Italian using deep neural networks techniques (DNN) integrated with an Italian powerful morphological analyser that has been applied to tag Italian tweets. The proposed system ranked third at the EVALITA20...

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Gorde:
Xehetasun bibliografikoak
Egile nagusia: Tamburini, Fabio
Formatua: Chapter
Hizkuntza:Inglês
Argitaratua: Accademia University Press 2016
Sarrera elektronikoa:https://doi.org/10.4000/books.aaccademia.1969
https://hdl.handle.net/20.500.13089/1d4v
https://books.openedition.org/aaccademia/1969
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