The nature of statistical learning theory
The nature of statistical learning theory
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Performance issues and error analysis in an open-domain question answering system
ACM Transactions on Information Systems (TOIS)
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
QA on the Web: A Preliminary Study for Spanish Language
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
An analysis of the AskMSR question-answering system
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Question classification using HDAG kernel
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
A language independent method for question classification
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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We present in this work a method for question classification in Spanish and Portuguese. The method relies on lexical features and attributes extracted from the Web. A machine learning algorithm, namely Support Vector Machines is successfully trained on these features. Our experimental results show that this method performs consistently well over two different languages.