Özcan, RıfatAltıngövde, I. Ş.Ulusoy, Özgür2016-02-082016-02-0820120302-9743http://hdl.handle.net/11693/28222Date of Conference: 1-5 April 2012Conference name: 34th European Conference on IR Research, ECIR 2012A large number of Web information extraction algorithms are based on machine learning techniques. For such extraction algorithms, we propose employing a lazy learning strategy to build a specialized model for each test instance to improve the extraction accuracy and avoid the disadvantages of constructing a single general model. © 2012 Springer-Verlag Berlin Heidelberg.EnglishExtraction accuracyExtraction algorithmsGeneral modelLazy learningOn-machinesTest instancesWeb information extractionAlgorithmsInformation retrievalConference Paper10.1007/978-3-642-28997-2_65