Learning ( k , l )-contextual tree languages for information extraction from web pages

@article{citeulike:2759513, abstract = {Abstract\ \ This paper introduces a novel method for learning a wrapper for extraction of information from web pages, based upon (k,l)-contextual tree languages. It also introduces a method to learn good values of k and l based on a few positive and negative examples. Finally, it describes how the algorithm can be integrated in a tool for information extraction.}, author = {Raeymaekers, Stefan and Bruynooghe, Maurice and Van den Bussche, Jan }, citeulike-article-id = {2759513}, doi = {10.1007/s10994-008-5049-7}, journal = {Machine Learning}, keywords = {computational-linguistics}, month = {June}, number = {2}, pages = {155--183}, posted-at = {2008-05-06 01:59:14}, priority = {2}, title = {Learning ( k , l )-contextual tree languages for information extraction from web pages}, url = {http://dx.doi.org/10.1007/s10994-008-5049-7}, volume = {71}, year = {2008} }

TY - JOUR ID - citeulike:2759513 L3 - citeulike-article-id:2759513 TI - Learning ( k , l )-contextual tree languages for information extraction from web pages JF - Machine Learning VL - 71 IS - 2 SP - 155 EP - 183 N2 - Abstract  This paper introduces a novel method for learning a wrapper for extraction of information from web pages, based upon (k,l)-contextual tree languages. It also introduces a method to learn good values of k and l based on a few positive and negative examples. Finally, it describes how the algorithm can be integrated in a tool for information extraction. KW - computational-linguistics AU - Raeymaekers, Stefan AU - Bruynooghe, Maurice AU - Van den Bussche, Jan PY - 2008/06/26/ UR - http://dx.doi.org/10.1007/s10994-008-5049-7 ER -