12 citations · 38 across the 18 of their papers we have counts for
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cs.LG2019★ 4 cited
Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds
Marco Dinarelli, Loïc Grobol
We propose a neural architecture with the main characteristics of the most successful neural models of the last years: bidirectional RNNs, encoder-decoder, and the Transformer mode…
cs.CL2019★ 1 cited
Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling
Marco Dinarelli, Loïc Grobol
During the last couple of years, Recurrent Neural Networks (RNN) have reached state-of-the-art performances on most of the sequence modelling problems. In particular, the "sequence…