NDLI: Unsupervised deduplication using cross-field dependencies

Content Provider	ACM Digital Library
Author	Hall, Rob McCallum, Andrew Sutton, Charles
Abstract	Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes collectively, they do not model them collectively. For example, in citations in the research literature, canonical venue strings and title strings are dependent -- because venues tend to focus on a few research areas -- but this dependence is not modeled by current unsupervised techniques. We call this dependence between fields in a record a cross-field dependence. In this paper, we present an unsupervised generative model for the deduplication problem that explicitly models cross-field dependence. Our model uses a single set of latent variables to control two disparate clustering models: a Dirichlet-multinomial model over titles, and a non-exchangeable string-edit model over venues. We show that modeling cross-field dependence yields a substantial improvement in performance -- a 58% reduction in error over a standard Dirichlet process mixture. .
Starting Page	310
Ending Page	317
Page Count	8
File Format	PDF
ISBN	9781605581934
DOI	10.1145/1401890.1401931
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-08-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Dirichlet process mixture Deduplication Information extraction Data mining
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Unsupervised deduplication using cross-field dependencies