Modeling dependencies between labels in recurrent neural networks
TRAITEMENT AUTOMATIQUE DES LANGUES, pp. 13-37, 2017.
Recurrent Neural Networks have proved effective on several NLP tasks. Despite such great success, their ability to model sequence labeling is still limited. This lead research toward solutions where RNNs are combined with models successfully employed in this context, like CRFs. In this work we propose a simpler solution: an evolution of t...More
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