Representation and Structure in Connectionist Models
Abstract
This paper focuses on the nature of representations in connectionist models. It addresses two issues: Can connectionist models develop representations which possess internal structure and which provide the basis for productive and systematic behavior; and Can representations which are fundamentally context-sensitive support grammatical behavior which appears to be abstract and general? Results from two simulations are reported.. The simulations address problems in the distinction between type and token, the representation of lexical categories, and the representation of grammatical structure. The results suggest that connectionist representations can indeed possess internal structure and enable systematic behavior, and that a mechanism which is sensitive to context is capable of capturing generalizations of varying degrees of abstractness.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1989
- Accession Number
- ADA259504
Entities
People
- Jeffrey L. Elman
Organizations
- University of California, San Diego