When is Self-Training Effective for Parsing?

@inproceedings{McClosky2008WhenIS,
  title={When is Self-Training Effective for Parsing?},
  author={David McClosky and Eugene Charniak and Mark Johnson},
  booktitle={COLING},
  year={2008}
}
Self-training has been shown capable of improving on state-of-the-art parser performance (McClosky et al., 2006) despite the conventional wisdom on the matter and several studies to the contrary (Charniak, 1997; Steedman et al., 2003). However, it has remained unclear when and why selftraining is helpful. In this paper, we test four hypotheses (namely, presence of a phase transition, impact of search errors, value of non-generative reranker features, and effects of unknown words). From these… CONTINUE READING
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Showing 1-10 of 14 references

Coarseto-fine n-best parsing and MaxEnt discriminative reranking

  • Charniak, Eugene, Mark Johnson.
  • InProc. of the 2005 Meeting of the Assoc. for…
  • 2005

A syntaxbased statistical translation model

  • Yamada, Kenji, Kevin Knight.
  • In
  • 2001

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