Two Dimensional Generalization in Information Extraction

In a user-trained information extraction system, the cost of creating the rules for informationextraction can be greatly reducedby maximizing the effectiveness of user inputs. If the user specifies one exampleof a desired extraction, our system automaticallytries a variety of generalizations of this rule includinggeneralizationsof the termsand permutationsof the ordering of significant words. Where modifications of the rules are successful, those rules are incorporated into the extraction set. Thetheory of such generalizations anda measure of their usefulnessis described.

Authors

• Joyce Yue Chai
• IBM T. J. Watson Research Center; Alan W. Biermann
• Duke University; Curry I. Guinn
• Research Triangle Institute

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