Uncertainty management in rule-based information extraction systems

  title={Uncertainty management in rule-based information extraction systems},
  author={Eirinaios Michelakis and Rajasekar Krishnamurthy and Peter J. Haas and Shivakumar Vaithyanathan},
  booktitle={SIGMOD Conference},
Rule-based information extraction is a process by which structured objects are extracted from text based on user-defined rules. The compositional nature of rule-based information extraction also allows rules to be expressed over previously extracted objects. Such extraction is inherently uncertain, due to the varying precision associated with the rules used in a specific extraction task. Quantifying this uncertainty is crucial for querying the extracted objects in probabilistic databases, and… CONTINUE READING
Highly Cited
This paper has 49 citations. REVIEW CITATIONS


Publications citing this paper.


Publications referenced by this paper.
Showing 1-4 of 4 references

JAPE: a Java annotation patterns engine

H. Cunningham, D.Maynard, V. Tablan
Technical report, Dept. of Computer Science, • 2000
View 5 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…