Wrapper Induction for Information Extraction
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Information Retrieval. Pages 729-736.
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. We introduce 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.
@inproceedings{ijcai1997p106,
title = {Wrapper Induction for Information Extraction},
author = {Kushmerick, Nicholas and Weld, Daniel S. and Doorenbos, Robert B.},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {729--736},
year = {1997},
note = {Information Retrieval},
url = {https://ijcai.org/proceedings/1997/106},
}
TY - CPAPER TI - Wrapper Induction for Information Extraction AU - Kushmerick, Nicholas AU - Weld, Daniel S. AU - Doorenbos, Robert B. T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 729 EP - 736 UR - https://ijcai.org/proceedings/1997/106 ER -Copied
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