D. Moldovan, Seungho Cha, Minhwa Chung, K. J. Hendrickson, Jun-Tae Kim, Stephen V. Kowalski
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USC: description of the SNAP system used for MUC-4
The main goal of the SNAP project is to build a massively parallel computer capable of fast and accurate natural language processing [3]. Under NSF funding, a parallel computer was built in the Parallel Knowledge Processing Laboratory at USC and software was developed to operate the machine [2]. The approach in designing SNAP was to find a knowledge representation and a reasoning paradigm useful for natural language processing which exibits massive parallelism. We have selected marker-passing on semantic networks as a way to represent and process linguistic knowledge.
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