In praise of laziness: a lazy strategy for web information extraction

Authors:
Rifat Ozcan;Ismail Sengor Altingovde;Özgür Ulusoy
Affiliations:
Computer Engineering Department, Bilkent University, Ankara, Turkey;L3S Research Center, Hannover, Germany;Computer Engineering Department, Bilkent University, Ankara, Turkey
Venue:
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Year:
2012

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Abstract

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.