| Abstract |
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In this article, we introduce a new method for query generation. This method uses only a logical approach and does not need a statistical process or a natural language processing.
The main interest of this new method is the abstraction. In a second part, we discuss a method for learning a text classifier and query generation for this classi.er. The two problems are resolved in a complementary approach using our query generation method and SVM as text classifiers. We use this approach for studying words polysemy. Our method generates queries in order to retrieve documents about a specific sense of the word and in the same time
learning the associated text classifier. Our method have good results.
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 Additional Information
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Citation:
Jimmy Leblet, Mohamed Quafafou,
"A New Method for Query Generation Applied to Learning Text Classifiers,"
wi,
p. 633,
2003 IEEE/WIC International Conference on Web Intelligence (WI'03),
2003
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