{"type":"ScholarlyArticle","title":"Information Extraction from Web Documents Based on Local Unranked Tree Automaton Inference","authors":[{"name":"Raymond Kosala","slug":"raymond-kosala","given":"Raymond","family":"Kosala","affiliation":""},{"name":"Maurice Bruynooghe","slug":"maurice-bruynooghe","given":"Maurice","family":"Bruynooghe","affiliation":""},{"name":"Jan Van den Bussche","slug":"jan-van-den-bussche","given":"Jan","family":"Van den Bussche","affiliation":""},{"name":"Hendrik Blockeel","slug":"hendrik-blockeel","given":"Hendrik","family":"Blockeel","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2003/60","pdf":"https://ijcai.org/proceedings/2003/0060.pdf","markdown":"https://ijcai.org/proceedings/2003/60.md","bibtex":"https://ijcai.org/proceedings/2003/bibtex/60","volume":{"slug":"2003","title":"Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2003","url":"https://ijcai.org/proceedings/2003/","year":2003,"location":"Acapulco, Mexico","dates":"","editors":"Georg Gottlob","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":60,"pages":{"first":403,"last":407},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}