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http://hdl.handle.net/1942/8318| Title: | Learning (k, l)-contextual tree languages for information extraction from web pages | Authors: | Raeymaekers, Stefan Bruynooghe, Maurice VAN DEN BUSSCHE, Jan |
Issue Date: | 2008 | Publisher: | SPRINGER | Source: | MACHINE LEARNING, 71(2-3). p. 155-183 | 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 I based on a few positive and negative examples. Finally, it describes how the algorithm can be integrated in a tool for information extraction. | Notes: | Katholieke Univ Leuven, Dept Comp Sci, B-3001 Louvain, Belgium. Univ Hasselt & Transnatl Univ Limburg, B-3590 Diepenbeek, Belgium. | Keywords: | information extraction; wrapper induction; tree languages | Document URI: | http://hdl.handle.net/1942/8318 | ISSN: | 0885-6125 | e-ISSN: | 1573-0565 | ISI #: | 000255788300002 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2009 |
| Appears in Collections: | Research publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| klforksRev1.pdf | Non Peer-reviewed author version | 619.09 kB | Adobe PDF | View/Open |
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