Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes

CONLL 2019 Noémien KocherChristian ScuitoLorenzo TarantinoAlexandros LazaridisAndreas FischerClaudiu Musat

In sequence modeling tasks the token order matters, but this information can be partially lost due to the discretization of the sequence into data points. In this paper, we study the imbalance between the way certain token pairs are included in data points and others are not... (read more)

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