Abstract
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.
Original language | English |
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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. |
Pages | 215-222 |
DOIs | |
Publication status | Published - 1995 |