A SVM-Based Model for Chinese Functional Chunk Parsing

@inproceedings{Zhao2006ASM,
  title={A SVM-Based Model for Chinese Functional Chunk Parsing},
  author={Yingze Zhao and Qiang Zhou},
  booktitle={SIGHAN@COLING/ACL},
  year={2006}
}
Functional chunks are defined as a series of non-overlapping, non-nested segments of text in a sentence, representing the implicit grammatical relations between the sentence-level predicates and their arguments. Its top-down scheme and complexity of internal constitutions bring in a new challenge for automatic parser. In this paper, a new parsing model is proposed to formulate the complete chunking problem as a series of boundary detection sub tasks. Each of these sub tasks is only in charge of… CONTINUE READING
3 Citations
12 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 12 references

periments in Learning Models for Functional Chunking of Chinese Text

  • E. F. Tjong Kim Sang
  • IEEE International Workshop on Natural Language…
  • 2001

Advances in Kernel Methods - Support Vector Learning, chapter Making large-Scale SVM Learning Practical

  • Thorsten Joachims.
  • MIT-Press.
  • 1999

Similar Papers

Loading similar papers…