Modeling dependencies between labels in recurrent neural networks

Marco Dinarelli
Marco Dinarelli

TRAITEMENT AUTOMATIQUE DES LANGUES, pp. 13-37, 2017.

Cited by: 0|Views5

Abstract:

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

Code:

Data:

Get fulltext within 24h
Bibtex
Your rating :
0

 

Tags
Comments