The nature of statistical learning theory
The nature of statistical learning theory
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Performance issues and error analysis in an open-domain question answering system
ACM Transactions on Information Systems (TOIS)
Question classification using support vector machines
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
Question answering from the web using knowledge annotation and knowledge mining techniques
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
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 semantic approach for question classification using WordNet and Wikipedia
Pattern Recognition Letters
Automatic checking of alternative texts on web pages
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs: Part I
Chinese question classification from approach and semantic views
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Two web-based approaches for noun sense disambiguation
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Finding instance names and alternative glosses on the web: wordnet reloaded
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Question classification in spanish and portuguese
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Question answering for spanish supported by lexical context annotation
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
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Previous works on question classification are based on complex natural language processing techniques: named entity extractors, parsers, chunkers, etc. While these approaches have proven to be effective they have the disadvantage of being targeted to a particular language. We present here a simple approach that exploits lexical features and the Internet to train a classifier, namely a Support Vector Machine. The main feature of this method is that it can be applied to different languages without requiring major modifications. Experimental results of this method on English, Italian and Spanish show that this approach can be a practical tool for question answering systems, reaching a classification accuracy as high as 88.92%.