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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Accademia University Press
2016-06-01
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| Series: | IJCoL |
| Online Access: | https://journals.openedition.org/ijcol/358 |
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