A 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.
['Rifat Ozcan', 'Ismail Sengor Altingovde', 'Özgür Ulusoy']
In praise of laziness: a lazy strategy for web information extraction