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

Date
2012
Advisor
Instructor
Source Title
Advances in Information Retrieval, 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012
Print ISSN
0302-9743
Electronic ISSN
Publisher
Volume
7224
Issue
Pages
565 - 568
Language
English
Type
Conference Paper
Journal Title
Journal ISSN
Volume Title
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. © 2012 Springer-Verlag Berlin Heidelberg.

Course
Other identifiers
Book Title
Keywords
Extraction accuracy, Extraction algorithms, General model, Lazy learning, On-machines, Test instances, Web information extraction, Algorithms, Information retrieval
Citation
Published Version (Please cite this version)