This paper reports on the joint GE-CMU Tipster SHOGUN customization effort for MUC-4 , and analyzes the results of the TST3 and TST4 runs in comparison with the GE system.
George B. Krupka, Paul S. Jacobs, Michael L. Mauld...
This paper reports on the results of the adjunct test performed by GE for the MUC-4 evaluation of text processing systems . In this test, we evaluated the effect of an object-orie...
The GE-CMU team is developing the TIPSTER/SHOGUN system under the governmentsponsored TIPSTER program, which aims to advance coverage, accuracy, and portability in tex t interpret...
Paul S. Jacobs, George B. Krupka, Lisa F. Rau, Tod...
The GE NLTooLsET is a set of text interpretation tools designed to be easily adapted to new domains. This report summarizes the system and its performance on the MUG-4 task . INTR...
George B. Krupka, Paul S. Jacobs, Lisa F. Rau, Loi...
It is often assumed that when natural language processing meets the real world, the ideal of aiming for complete and correct interpretations has to be abandoned. However, our expe...
Jerry R. Hobbs, Douglas E. Appelt, John Bear, Mabr...