Connectionist natural language parsing

Connectionist natural language parsing.

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 provid...

Hybrid Connectionist Natural Language Processing

A corpus-based connectionist architecture for large-scale natural language parsing

We describe a deterministic shift-reduce parsing model that combines the advantages of connectionism with those of traditional symbolic models for parsing realistic sub-domains of natural language. It is a modular system that learns to annotate natural language texts with syntactic structure. The parser acquires its linguistic knowledge directly from pre-parsed sentence examples extracted from ...

Large-scale connectionist natural language parsing using lexical semantic and syntactic knowledge

..............................................................................................................................................I ACKNOWLEDGEMENTS .................................................................................................................. II TABLE OF CONTENTS .......................................................................................................

Language-Based Environment For Natural Language Parsing

This paper introduces a special programming environment for the definition of grammars and for the implementation of corresponding parsers. In natural language processing systems it is advantageous to have linguistic knowledge and processing mechanisms separated. Our environment accepts grammars consisting of binary dependency relations and grammatical functions. Well-formed expressions of func...