Connectionist natural language parsing

Palmer-Brown, D, Tepper, JA ORCID: https://orcid.org/0000-0001-7339-0132 and Powell, HM, 2002. Connectionist natural language parsing. Trends in Cognitive Sciences, 6 (10), pp. 437-442. ISSN 1364-6613

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Abstract

The key developments of two decades of connectionist parsing are reviewed. Connectionist parsers are assessed according to their ability to learn to represent syntactic structures from examples automatically, without being presented with symbolic grammar rules. This review also considers the extent to which connectionist parsers offer computational models of human sentence processing and provide plausible accounts of psycholinguistic data. In considering these issues, special attention is paid to the level of realism, the nature of the modularity, and the type of processing that is to be found in a wide range of parsers.

Item Type:	Journal article
Publication Title:	Trends in Cognitive Sciences
Creators:	Palmer-Brown, D., Tepper, J.A. and Powell, H.M.
Publisher:	Elsevier/Cell Press
Date:	2002
Volume:	6
Number:	10
ISSN:	1364-6613
Identifiers:	Number Type 10.1016/S1364-6613(02)01980-0 DOI
Rights:	Copyright © 2002 Elsevier Science S.A. All rights reserved
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 11:01
Last Modified:	04 Feb 2022 12:38
URI:	https://irep.ntu.ac.uk/id/eprint/21549

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