A fast partial parse of natural language sentences using a connectionist method
The pattern matching capabilities of neural networks can be used to locate syntactic constituents of natural language. This paper describes a fully automated--hybrid system, using neural nets operating within a grammatic framework. It addresses the representation--of language for connectionist processing, and describes methods of constraining the problem size. The function of the network is briefly explained, and results are given.