Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling
arXiv: Computation and Language, 2019.
During the last couple of years, Recurrent Neural Networks (RNN) have reached state-of-the-art performances on most of the modelling problems. In particular, the to sequence model and the neural CRF have proved to be very effective in this domain. In this article, we propose a new RNN architecture for labelling, leveraging gated recurr...More
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