USC: description of the SNAP system used for MUC-5

Authors:
Dan Moldovan;Seungho Cha;Minhwa Chung;Tony Gallippi;Kenneth J. Hendrickson;Jun-Tae Kim;Changhwa Lin;Chinyew Lin
Affiliations:
University of Southern California, Los Angeles, California;University of Southern California, Los Angeles, California;University of Southern California, Los Angeles, California;University of Southern California, Los Angeles, California;University of Southern California, Los Angeles, California;University of Southern California, Los Angeles, California;University of Southern California, Los Angeles, California;University of Southern California, Los Angeles, California
Venue:
MUC5 '93 Proceedings of the 5th conference on Message understanding
Year:
1993

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Abstract

The SNAP information extraction system has been developed as a part of a three-year SNAP project sponsored by the National Science Foundation. The main goal of the SNAP project is to build a massively parallel computer capable of fast and accurate natural language processing [5]. Throughout the project, a parallel computer was built in the Parallel Knowledge Processing Laboratory at USC, and various software was developed to operate the machine [3]. The approach in designing SNAP was to find a knowledge representation and a reasoning paradigm useful for natural language processing which exhibits massive parallelism. We have selected marker-passing on semantic networks as a way to represent and process linguistic knowledge.