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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| Format: | Chapter |
| Sprache: | Inglês |
| Veröffentlicht: |
Accademia University Press
2016
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| Online-Zugang: | 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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