IJCAI-97 Wrapper Induction for Information Extraction

IJCAI-97 Wrapper Induction for Information Extraction

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by Wrapper Induction For , Nicholas Kushmerick , Daniel S. Weld , Robert Doorenbos

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Datum	Value	Source
TITLE	IJCAI-97 Wrapper Induction for Information Extraction	SVM HeaderParse 0.1
AUTHOR NAME	Wrapper Induction For	user correction - Legacy Corrections
AUTHOR NAME	Nicholas Kushmerick	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Computer Science & Engineering	user correction - Legacy Corrections
AUTHOR ADDR	UniversityofWashington, Box 352350; Seattle WA 98195--2350 USA	user correction - Legacy Corrections
AUTHOR NAME	Daniel S. Weld	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Computer Science & Engineering	user correction - Legacy Corrections
AUTHOR ADDR	UniversityofWashington, Box 352350; Seattle WA 98195--2350 USA	user correction - Legacy Corrections
AUTHOR NAME	Robert Doorenbos	user correction - Legacy Corrections
AUTHOR AFFIL	NETbot, Inc.	user correction - Legacy Corrections
AUTHOR ADDR	4530 Union Bay Pl. NE, Suite 208; Seattle WA 98105 USA	user correction - Legacy Corrections
ABSTRACT	Many Internet information resources present relational data---telephone directories, product catalogs, etc. Because these sites are formatted for people, mechanically extracting their content is difficult. Systems using such resources typically use hand-coded wrappers, procedures to extract data from information resources. Weintroduce wrapper induction, a method for automatically constructing wrappers, and identify hlrt, a wrapper class that is efficiently learnable, yet expressive enough to handle 48% of a recently surveyed sample of Internet resources. We use PAC analysis to bound the problem's sample complexity, and show that the system degrades gracefully with imperfect labeling knowledge.	user correction - Legacy Corrections
CITATIONS	16 found	ParsCit 1.0