document: A flexible learning system for wrapping tables and lists in HTML documents A program that makes an existing website look like a database is called a wrapper . Wrapper learning is the problem of learning website wrappers from examples . We present a wrapper-learning system called WL2 that can exploit several different representations of a document . Examples of such different representations include DOM-level and token-level representations , as well as two-dimensional geometric views of the rendered page ( for tabular data ) and representations of the visual appearance of text asm it will be rendered . Additionally , the learning system is modular , and can be easily adapted to new domains and tasks . The learning system described is part of an `` industrial-strength '' wrapper management system that is in active use at WhizBang Labs . Controlled experiments show that the learner has broader coverage and a faster learning rate than earlier wrapper-learning systems .
doc_bio_tags: O O B O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O