Stack-propagation: Improved Representation Learning for Syntax

  title={Stack-propagation: Improved Representation Learning for Syntax},
  author={Y. Zhang and D. Weiss},
  • Y. Zhang, D. Weiss
  • Published 2016
  • Computer Science
  • ArXiv
  • Traditional syntax models typically leverage part-of-speech (POS) information by constructing features from hand-tuned templates. [...] Key Method 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 test time, our parser does not require predicted POS tags. On 19 languages from the Universal Dependencies, our method is 1.3% (absolute) more accurate than a state-of-the-art graph-based approach and 2.7…Expand Abstract
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    Natural Language Processing (Almost) from Scratch
    • 5,434
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    Simple Semi-supervised Dependency Parsing
    • 486
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    Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs
    • 260
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    A Universal Part-of-Speech Tagset
    • 781
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    Generating Typed Dependency Parses from Phrase Structure Parses
    • 2,424
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    Joint Models for Chinese POS Tagging and Dependency Parsing
    • 71
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