| corder |
description |
CORDER (COmmunity Relation Discovery by named Entity Recognition) is an un-supervised
machine learning algorithm that exploits named entity recognition and co-occurrence
data to associate individuals in a community with their expertise and associates.
CORDER discovers relations from the Web pages of the community. Its approach is based
on co-occurrences of NEs and the distances between them. For a given NE, there are
a number of co-occurring NEs. We assume that NEs that are closely related to each
other tend to appear together more often and closer to each other in Web pages. We
calculate a relation strength for each co-occurring NE based on its co-occurrences
and distances from the given NE. The co-occurring NEs are ranked by their relation
strengths. |
