Paper Info
Title
Word expert parsing
Abstract
This paper describes an approach to conceptual analysis and understanding of natural language in which linguistic knowledge centers on individual words, and the analysis mechanisms consist of interactions among distributed procedural experts representing that knowledge. Each word expert models the process of diagnosing the intended usage of a particular word in context. The Word Expert Parser performs conceptual analysis through the interactions of the individual experts, which ask questions and exchange information in converging on a single mutually acceptable sentence meaning. The Word Expert theory is advanced as a better cognitive model of natural language understanding than the traditional rule-based approaches. The Word Expert Parser models parts of the theory, and the important issues of control and representation that arise in developing such a model from the basis of the technical discussion. An example from the prototype LISP implementation helps explain the theoretical results presented.
Year
DOI
Venue
1979
10.3115/982163.982167
IJCAI
Keywords
DocType
Volume
analysis mechanism,natural language,individual expert,collective agreement,unit linguistic knowledge,traditional rule-based approach,generator-like word expert,conceptual analysis,human language expertise,word expert parser,cognitive model,coroutine control environment,word expert theory,linguistic knowledge center,word expert parser model,word expert parsing,individual word,rule based
Conference
P79-1
ISBN
Citations 
PageRank 
0-934613-47-8
2
2.73
References 
Authors
7
1
Name
Order
Citations
PageRank
Steven L. Small115822.15