Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling and Multi-Task Learning
In this paper, we propose a Deep Learning architecture for several Italian Natural Language Processing tasks based on a state of the art model that exploits both word- and character-level representations through the combination of bidirectional LSTM, CNN and CRF. This architecture provided state of...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Accademia University Press
2017
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| Acceso en línea: | https://doi.org/10.4000/ijcol.553 https://hdl.handle.net/20.500.13089/h00x https://journals.openedition.org/ijcol/553 |
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