Inducing History Representations for Broad Coverage Statistical Parsing

  title={Inducing History Representations for Broad Coverage Statistical Parsing},
  author={James Henderson},
We present a neural network method for inducing representations of parse histories and using these history representations to estimate the probabilities needed by a statistical left-corner parser. The resulting statistical parser achieves performance (89.1% F-measure) on the Penn Treebank which is only 0.6% below the best current parser for this task, despite using a smaller vocabulary size and less prior linguistic knowledge. Crucial to this success is the use of structurally determined soft… CONTINUE READING
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 97 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.

97 Citations

Citations per Year
Semantic Scholar estimates that this publication has 97 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 20 references

A neural network parser that handles sparse data

  • James Henderson.
  • Proc. 6th Int. Workshop on Parsing Technologies…
  • 2000
Highly Influential
5 Excerpts

Neural Networks for Pattern Recognition

  • Christopher M. Bishop.
  • Oxford University Press, Oxford, UK.
  • 1995
Highly Influential
3 Excerpts

Generative versus discriminative models for statistical left-corner parsing

  • James Henderson.
  • Proc. 8th Int. Workshop on Parsing Technologies…
  • 2003
1 Excerpt

Similar Papers

Loading similar papers…