Difference between revisions of "Standard Citation Datasets"
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| − | Following are two datasets considered as standards to be used for the problem of [[Citation Matching | + | Following are two datasets considered as standards to be used for the problem of [[Citation Matching|Citation Matching]]. |
In citation matching, a cluster is a set of citations that refer to the same paper, and a nontrivial cluster contains more | In citation matching, a cluster is a set of citations that refer to the same paper, and a nontrivial cluster contains more | ||
than one citation. | than one citation. | ||
Latest revision as of 04:08, 7 December 2011
Following are two datasets considered as standards to be used for the problem of Citation Matching. In citation matching, a cluster is a set of citations that refer to the same paper, and a nontrivial cluster contains more than one citation.
CiteSeer Dataset
The CiteSeer dataset has 1563 citations and 906 clusters. Contains four sections, each on a different topic. Over two-thirds of the clusters are singletons; largest cluster has 21 citations.
Cora Dataset
The Cora dataset has 1295 citations and 134 clusters. Almost every citation in Cora belongs to a nontrivial cluster; the largest cluster contains 54 citations.
One of the papers that uses these datasets is Joint Inference in Information Extraction
The dataset can be downloaded from here
