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Mining web data for competency management

Zhu, J.; Goncalves, A.L.; Uren, V.S.; Motta, E. and Pacheco, R. (2005). Mining web data for competency management. In: The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (Zhong, Andrzej Skowron, Rakesh Agrawal, Michael Luck, Takahira Yamaguch ed.), 19-22 Sep 2005, Compiegne University of Technology, France, IEEE Computer Society, pp. 94–100.

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We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and associates. We
discuss the problems associated with evaluating
unsupervised learners and report our initial evaluation

Item Type: Conference Item
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 2966
Depositing User: Users 12 not found.
Date Deposited: 22 Jun 2006
Last Modified: 12 Feb 2015 15:57
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