PALKA: a system for lexical knowledge acquisition
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Parallel Natural Language Processing on a Semantic Network Array Processor
IEEE Transactions on Knowledge and Data Engineering
Acquisition of Linguistic Patterns for Knowledge-Based Information Extraction
IEEE Transactions on Knowledge and Data Engineering
The SNAP-1 Parallel AI Prototype
IEEE Transactions on Parallel and Distributed Systems
Applying Parallel Processing to Natural-Language Processing
IEEE Expert: Intelligent Systems and Their Applications
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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.