In praise of laziness: A lazy strategy for web information extraction
Altıngövde, I. Ş.
Advances in Information Retrieval, 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012
565 - 568
Item Usage Stats
MetadataShow full item record
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