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FLAIRS
2001

Learning Approaches to Wrapper Induction

12 years 3 months ago
Learning Approaches to Wrapper Induction
Thenumber,the size, andthe dynamicsof lntemetinformationsourcesbears abundantevidenceof the need of automationin informationextraction(IE). Thispaper deals withthe questionof howsuchextraction mechanismscanautomaticallybe createdbyinvokinglearning techniques. Theunderlying scenario of system-supportedIE is puttingcertainconstraintsonthe availabletrainingexamples.Therefore,the traditional approachesto formal languagelearningdo not capturethe kindof problems to be solvedwhenlearningthe correspondingextraction mechanisms. Weillustrate the resultingdifferencesbystudyingthe problemof learning a particular type of extraction mechanisms(so-called island wrappers).Weshowhow to decomposethis learningprobleminto different subproblemsthat canbe handledindependentlyandin parallel. Moreover,werelate the learning problemson handto the problemsthat learningtheorypapersoriginally addressandpoint out whatthey havein common andwherethe differencesare.
Gunter Grieser, Steffen Lange
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where FLAIRS
Authors Gunter Grieser, Steffen Lange
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