(Enter summary)
Abstract: Identity uncertainty is a pervasive problem in real-world data analysis. It
arises whenever objects are not labeled with unique identifiers or when
those identifiers may not be perceived perfectly. In such cases, two observations
may or may not correspond to the same object. In this paper,
we consider the problem in the context of citation matching---the problem
of deciding which citations correspond to the same publication. Our
approach is based on the use of a relational probability... (Update)
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BibTeX entry: (Update)
Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, and Ilya Shpitser. Identity uncertainty and citation matching. In Advances in Neural Information Processing (NIPS), 2002. http://citeseer.ist.psu.edu/pasula02identity.html More
@misc{ pasula02identity,
author = "H. Pasula and B. Marthi and B. Milch and S. Russell and I. Shpitser",
title = "Identity uncertainty and citation matching",
text = "Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, and Ilya Shpitser.
Identity uncertainty and citation matching. In Advances in Neural Information
Processing (NIPS), 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/pasula02identity.html" }
Citations (may not include all citations):
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