Question classification using support vector machines

@article{Zhang2003QuestionCU,
  title={Question classification using support vector machines},
  author={Dell Zhang and Wee Sun Lee},
  journal={Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval},
  year={2003}
}
  • Dell Zhang, Wee Sun Lee
  • Published 2003
  • Computer Science
  • Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Question classification is very important for question answering. [...] Key Result The experiment results show that with only surface text features the SVM outperforms the other four methods for this task. Further, we propose to use a special kernel function called the tree kernel to enable the SVM to take advantage of the syntactic structures of questions. We describe how the tree kernel can be computed efficiently by dynamic programming.Expand
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References

SHOWING 1-5 OF 5 REFERENCES
A re-examination of text categorization methods
Learning Question Classifiers
  • Xin Li, D. Roth
  • Computer Science
  • COLING
  • 2002
Introduction to Support Vector Machines
Convolution Kernels for Natural Language
SNoW User Guide