Connectionist natural language parsing
| Autor: | Dominic Palmer-Brown, H. M. Powell, Jonathan Tepper |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Cognitive science
Computational model Parsing Artificial neural network business.industry Cognitive Neuroscience Experimental and Cognitive Psychology computer.software_genre Modularity Syntax Sentence processing TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES Neuropsychology and Physiological Psychology Connectionism Artificial intelligence business Psychology computer Natural language Natural language processing |
| Zdroj: | Trends in Cognitive Sciences. 6:437-442 |
| ISSN: | 1364-6613 |
| DOI: | 10.1016/s1364-6613(02)01980-0 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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