Recurrent Context Window Networks for Italian Named Entity Recognizer
In this paper, we introduce a Deep Neural Network (DNN) for engineering Named Entity Recognizers (NERs) in Italian. Our network uses a sliding window of word contexts to predict tags. It relies on a simple word-level log-likelihood as a cost function and uses a new recurrent feedback mechanism to en...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Accademia University Press
2016
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/4524f7e164484008a35bc7a5fbe1b5b2 |
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