Information extraction as a basis for high-precision text classification
ACM Transactions on Information Systems (TOIS)
Information extraction from HTML: application of a general machine learning approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
A simple, fast, and effective rule learner
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Wrapper induction: efficiency and expressiveness
Artificial Intelligence - Special issue on Intelligent internet systems
Information Extraction from the Web: System and Techniques
Applied Intelligence
Logic wrappers and XSLT transformations for tuples extraction from HTML
XSym'05 Proceedings of the Third international conference on Database and XML Technologies
Mining travel resources on the web using l-wrappers
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
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This paper describes Information Extraction for applications concerning the automated filling of templates from an input of HTML documents. We developed a complete system to extract information from Web sites. The system is able to use a number of algorithms to learn the document structure, rules and keywords to locate specific information and spatial relations between different information items. Experiments with well known data set show a substantial performance improvement over standard wrapper systems.