Mining Web Data for Competency Management
2005) Mining Web Data for Competency Management. In Skowron, Andrzej and Agrawal, Rakesh and Luck, Michael and Yamaguchi, Takahira and Morizet-Mahoudeaux, Pierre and Liu, Jiming and Zhong, Ning, Eds. Proceedings The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), pages pp. 94-100, Compiegne, France. (
This document is not available online.
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 experiments.
|Keywords:||relation discovery, named entity recognition, information extraction, ranking|
|Subjects:||AKT Challenges > Knowledge retrieval|
AKT Challenges > Knowledge acquisition
AKT Challenges > Knowledge maintenance
|Deposited By:||Zhu, Dr. Jianhan|
|Deposited On:||04 April 2006|
Contact the site administrator at: email@example.com