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

Authors:
Paul S. Jacobs;George Krupka;Lisa Rau;Michael L. Mauldin;Teruko Mitamura;Tsuyoshi Kitani;Ira Sider;Lois Childs
Affiliations:
GE Research and Development, Schenectady, NY;GE Research and Development, Schenectady, NY;GE Research and Development, Schenectady, NY;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Management Data Systems, Martin Marietta, Philadelphia, PA;Management Data Systems, Martin Marietta, Philadelphia, PA
Venue:
MUC5 '93 Proceedings of the 5th conference on Message understanding
Year:
1993

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Abstract

This paper describes the GE-CMU TIPSTER/SHOGUN system as configured for the TIP-STER 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 performance across languages and domains.