Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/700
Title: | Information extraction from Web documents based on local unranked tree automaton inference | Authors: | Kosala, Raymond Bruynooghe, Maurice VAN DEN BUSSCHE, Jan Blockeel, Hendrik |
Issue Date: | 2003 | Publisher: | Kaufman, Morgan | Source: | Gottlob, G. & Walch, T. (Ed.) Proceedings of the 18th International Joint Conference on Artificial Intelligence. p. 403-408. | Abstract: | Information extraction (IE) aims at extracting specific information from a collection of documents. A lot of previous work on IE from semi-structured documents (in XML or HTML) uses learning techniques based on strings. Some recent work converts the document to a ranked tree and uses tree automaton induction. This paper introduces an algorithm that uses unranked trees to induce an automaton. Experiments show that this gives the best results obtained so far for IE from semi-structured documents based on learning. | Document URI: | http://hdl.handle.net/1942/700 | Category: | C2 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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datamining1.pdf | 197.45 kB | Adobe PDF | View/Open |
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