Sample Selection for Statistical Grammar Induction

  title={Sample Selection for Statistical Grammar Induction},
  author={Rebecca Hwa},
Corpus-based grz.mmar induction relies on using many hand-parsed sentences as training examples. However, the construction of a training corpus with detailed syntactic analysis for every sentence is a labor-intensive task. We propose to use sample selection methods to minimize the amount of annotation needed in the training data, thereby reducing the workload of the human annotators. This paper shows that the amount of annotated training data can be reduced by 36% without degrading the quality… CONTINUE READING
Highly Cited
This paper has 69 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 48 extracted citations

69 Citations

Citations per Year
Semantic Scholar estimates that this publication has 69 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-7 of 7 references

Learning Probabilistic Lex

  • Rebecca Hwa
  • 2000
4 Excerpts

Selective sampling

  • Hozumi Tanaka
  • 1998

Selective sampling using

  • Naftali Tishby
  • 1997

Trainable grammars for

  • James K. Baker
  • 1979
2 Excerpts

Similar Papers

Loading similar papers…