A Temporal-Probabilistic Database Model for Information Extraction

@article{Dylla2013ATD,
  title={A Temporal-Probabilistic Database Model for Information Extraction},
  author={Maximilian Dylla and Iris Miliaraki and Martin Theobald},
  journal={PVLDB},
  year={2013},
  volume={6},
  pages={1810-1821}
}
Temporal annotations of facts are a key component both for building a high-accuracy knowledge base and for answering queries over the resulting temporal knowledge base with high precision and recall. In this paper, we present a temporalprobabilistic database model for cleaning uncertain temporal facts obtained from information extraction methods. Specifically, we consider a combination of temporal deduction rules, temporal consistency constraints and probabilistic inference based on the common… CONTINUE READING
Highly Cited
This paper has 37 citations. REVIEW CITATIONS

Citations

Publications citing this paper.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…