Stack-propagation: Improved Representation Learning for Syntax

  title={Stack-propagation: Improved Representation Learning for Syntax},
  author={Yuan Zhang and David I Weiss},
Traditional syntax models typically leverage part-of-speech (POS) information by constructing features from hand-tuned templates. We demonstrate that a better approach is to utilize POS tags as a regularizer of learned representations. We propose a simple method for learning a stacked pipeline of models which we call “stack-propagation”. We apply this to dependency parsing and tagging, where we use the hidden layer of the tagger network as a representation of the input tokens for the parser. At… CONTINUE READING
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