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Global Autoregressive Models (GAMs) are a recent proposal [Parshakova et al., CoNLL 2019] for exploiting global properties of sequences for data-efficient learning of seq2seq models.
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Global Autoregressive Models for Data-Efficient Sequence Learning
Tetiana Parshakova, Jean-Marc Andreoli, and Marc Dymetman · 2019
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