Papers with Globally Autoencoding Parser

1 papers
Semi-supervised Autoencoding Projective Dependency Parsing (2020.coling-main)

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Challenge: Existing models for semi-supervised dependency parsing use labeled data, but they require large amounts of labeles.
Approach: They propose two end-to-end autoencoding models for semi-supervised graph-based projective dependency parsing.
Outcome: The proposed models outperform a semi-supervised model on WSJ and UD dependency parsing data sets.

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