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 |
| ID Code: | 498 |
| Deposited By: | Zhu, Dr. Jianhan |
| Deposited On: | 04 April 2006 |
Contact the site administrator at: hg@ecs.soton.ac.uk