GE-CMU: description of the SHOGUN system used for MUC-5

This paper describes the GE-CMU TIPSTER/SHOGUN system as configured for the TIPSTER 24-month (MUC-5) benchmark, and gives details of the system's performance on the selected Japanese and English texts. The SHOGUN system is a distillation of some of the key ideas that emerged from previous benchmarks and experiments, emphasizing a simple architecture in which the focus is on detailed corpus-based knowledge . This design allowed the project to meet its goal of achieving advances in coverage and accuracy while showing consistently good performanc e across languages and domains.

• Type: Conference
• Year: 1993
• Where: MUC
• Authors: Paul S. Jacobs, George B. Krupka, Lisa F. Rau, Michael L. Mauldin, Teruko Mitamura, Tsuyoshi Kitani, Ira Sider, Lois Childs
• Keywords: Detailed Corpus-based Knowledge, GE-CMU TIPSTER/SHOGUN, MUC 1993, Natural Language Processing, System's Performance