3 papers
cs.CL2017
Effective Spoken Language Labeling with Deep Recurrent Neural Networks
Marco Dinarelli, Yoann Dupont, Isabelle Tellier
Understanding spoken language is a highly complex problem, which can be decomposed into several simpler tasks. In this paper, we focus on Spoken Language Understanding (SLU), the m…
cs.CL2017
Label-Dependencies Aware Recurrent Neural Networks
Yoann Dupont, Marco Dinarelli, Isabelle Tellier
In the last few years, Recurrent Neural Networks (RNNs) have proved effective on several NLP tasks. Despite such great success, their ability to model \emph{sequence labeling} is s…
cs.CL2016
Improving Recurrent Neural Networks For Sequence Labelling
Marco Dinarelli, Isabelle Tellier
In this paper we study different types of Recurrent Neural Networks (RNN) for sequence labeling tasks. We propose two new variants of RNNs integrating improvements for sequence lab…