The nature of statistical learning theory
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Pairwise classification and support vector machines
Advances in kernel methods
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
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Neural Networks - 2003 Special issue: Advances in neural networks research IJCNN'03
In Defense of One-Vs-All Classification
The Journal of Machine Learning Research
Analysis of Statistical Question Classification for Fact-Based Questions
Information Retrieval
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MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
A question/answer typology with surface text patterns
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Binary tree support vector machine based on kernel fisher discriminant for multi-classification
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
An overview of statistical learning theory
IEEE Transactions on Neural Networks
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Question classification plays an important role in the question answering system and the errors of question classification will probably result in the failure of question answering. Thus, how to enhance the accuracy is an open question. In order to enhance the accuracies of the Chinese question classification, this paper extends one-against-one method based on SVMs to resolve the problems. The results show the good performance of the algorithm for Chinese question classification problems.