A framework for specifying explicit bias for revision of approximate information extraction rules

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A framework for specifying explicit bias for revision of approximate information extraction rules

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International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents

Boston, Massachusetts, United States

Pages: 189 - 197

Year of Publication: 2000

ISBN:1-58113-233-6

Authors

Ronen Feldman	Instinct Software Ltd., Petah Tikva, Israel
Yair Liberzon	Instinct Software Ltd., Petah Tikva, Israel
Binyamin Rosenfeld	Instinct Software Ltd., Petah Tikva, Israel
Jonathan Schler	Instinct Software Ltd., Petah Tikva, Israel
Jonathan Stoppi	Instinct Software Ltd., Petah Tikva, Israel

Sponsors

SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 7, Downloads (12 Months): 31, Citation Count: 5

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	2	Yonatan Aumann , Ronen Feldman , Yaron Ben Yehuda , David Landau , Orly Lipshtat , Yonatan Schler, Circle Graphs: New Visualization Tools for Text-Mining, Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery, p.277-282, September 15-18, 1999
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CITED BY 5

	Binyamin Rosenfeld , Ronen Feldman , Yonatan Aumann, Structural extraction from visual layout of documents, Proceedings of the eleventh international conference on Information and knowledge management, November 04-09, 2002, McLean, Virginia, USA
	Bing Liu , Yiming Ma , Philip S. Yu, Discovering unexpected information from your competitors' web sites, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, p.144-153, August 26-29, 2001, San Francisco, California
	Tina Eliassi-Rad , Jude Shavlik, Intelligent Web agents that learn to retrieve and extract information, Intelligent exploration of the web, Physica-Verlag GmbH, Heidelberg, Germany, 2003
	Bing Liu , Chee Wee Chin , Hwee Tou Ng, Mining topic-specific concepts and definitions on the web, Proceedings of the 12th international conference on World Wide Web, May 20-24, 2003, Budapest, Hungary
	Tina Eliassi-Rad , Jude Shavlik, A System for Building Intelligent Agents that Learn to Retrieve and Extract Information, User Modeling and User-Adapted Interaction, v.13 n.1-2, p.35-88, February -May 2003