In praise of laziness: A lazy strategy for web information extraction
Advances in Information Retrieval, 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012
565 - 568
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Lecture Notes in Computer Science;7224
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. © 2012 Springer-Verlag Berlin Heidelberg.
Web information extraction