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.
|Title of host publication||Procs of the 7th Conf of the European Chapter of the Association for Computational Linguistics|
|Subtitle of host publication||EACL'95|
|Publisher||Morgan Kaufmann Publishers Inc.|
|Publication status||Published - 1995|