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http://hdl.handle.net/1942/985
Title: | Learning (k,l)-Contextual Tree Languages for Information Extraction | Authors: | Raeymaekers, S. Bruynooghe, M. VAN DEN BUSSCHE, Jan |
Issue Date: | 2005 | Publisher: | Springer | Source: | Machine Learning: ECML 2005. p. 305-316 | Series/Report: | Lecture Notes in Computer Science | Series/Report no.: | 3720 | Abstract: | This paper introduces a novel method for learning a wrapper for extraction of text nodes 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. | Document URI: | http://hdl.handle.net/1942/985 | ISBN: | 3-540-29243-8 | ISSN: | 0302-9743 | DOI: | 10.1007/11564096_31 | ISI #: | 000233235200031 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2006 |
Appears in Collections: | Research publications |
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