A structured wrapper induction system for extracting information from semi-structured documents Export

@misc{citeulike:2391413, abstract = {We propose an extensible architecture which allows wrapper-learning systems to be easily constructed and tuned. In this architecture the bias of the wrapper-learning system is encoded as an ordered set of \"builders\", each associated with some restricted extraction language L. To implement a new builder it is only necessary to implement a small set of core operations for L. Builders can also be constructed by combining other builders. A single master learning algorithm which invokes...}, author = {Cohen, W. and Jensen, L.}, citeulike-article-id = {2391413}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.8768}, keywords = {2001}, posted-at = {2008-02-17 20:42:49}, priority = {5}, title = {A structured wrapper induction system for extracting information from semi-structured documents}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.8768} }

TY - GEN ID - citeulike:2391413 L3 - citeulike-article-id:2391413 N2 - We propose an extensible architecture which allows wrapper-learning systems to be easily constructed and tuned. In this architecture the bias of the wrapper-learning system is encoded as an ordered set of "builders", each associated with some restricted extraction language L. To implement a new builder it is only necessary to implement a small set of core operations for L. Builders can also be constructed by combining other builders. A single master learning algorithm which invokes... TI - A structured wrapper induction system for extracting information from semi-structured documents KW - 2001 AU - Cohen, W AU - Jensen, L UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.8768 ER -