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arXiv · 1909.07102

Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds

Marco Dinarelli·Loïc Grobol
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Abstract

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 model. Evaluation on three sequence labelling tasks yields results that are close to the state-of-the-art for all tasks and better than it for some of them, showing the pertinence of this hybrid architecture for this kind of tasks.

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BibTeXRIS

Marco Dinarelli, Loïc Grobol. 2019-09-16. Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds. https://arxiv.org/abs/1909.07102

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