Hybrid Approaches to Neural Network-based Language Processing
Number TR-97-030,
- 1997
Associated documents :
In this paper we outline hybrid approaches to arti cial neural network-based natural
language processing. We start by motivating hybrid symbolic/connectionist processing. Then we suggest various types of symbolic/connectionist integration for language
processing: connectionist structure architectures, hybrid transfer architectures, hybrid processing architectures. Furthermore, we focus particularly on loosely coupled,
tightly coupled, and fully integrated hybrid processing architectures. We give particular examples of these hybrid processing architectures and argue that the hybrid
approach to arti cial neural network-based language processing has a lot of potential
to overcome the gap between a neural level and a symbolic conceptual level.
@TechReport{Wer97,
author = {Wermter, Stefan},
title = {Hybrid Approaches to Neural Network-based Language Processing},
number = {TR-97-030},
year = {1997},
month = {},
doi = {},
}