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Abstract: Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitations in the depth and breadth of knowledge they can acquire. The spread of the Internet has made possible a third solution: building knowledge bases by mass collaboration, with thousands of volunteers contributing simultaneously. While this approach promises large improvements in the speed and cost of knowledge base... (Update)
Context of citations to this paper: More
.... into a learner, which uses SRL techniques to handle inconsistency among sources and high variability in source quality [Richardson and Domingos, 2003a] Specifically, we use a Bayesian logic program representation [Kersting, 2000] with knowledge based model construction...
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BibTeX entry: (Update)
M. Richardson and P. Domingos. Building large knowledge bases by mass collaboration. 2003. Submitted. http://citeseer.ist.psu.edu/richardson03building.html More
@misc{ richardson03building,
author = "M. Richardson and P. Domingos",
title = "Building large knowledge bases by mass collaboration",
text = "M. Richardson and P. Domingos. Building large knowledge bases by mass collaboration.
2003. Submitted.",
year = "2003",
url = "citeseer.ist.psu.edu/richardson03building.html" }
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