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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Détails bibliographiques
Auteurs principaux: Daniele Bonadiman, Alessandro Moschitti, Aliaksei Severyn
Format: article
Langue:EN
Publié: Accademia University Press 2016
Sujets:
H
Accès en ligne:https://doaj.org/article/4524f7e164484008a35bc7a5fbe1b5b2
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