CRL/NMSU: description of the CRL/NMSU systems used for MUC-6

This paper discusses the two CRL named entity recognition systems submitted for MUC-6. The systems are based on entirely different approaches. The first is a data intensive method, which uses human generated patterns. The second uses the training data to develop decision trees which detect the start and end points of names.