A mechanism for natural language access to database systems

1982 ◽  
pp. 44-45
Author(s):  
Lawrence J. Mazlack ◽  
Richard A. Feinauer ◽  
William E. Leigh ◽  
Neomi Paz
1990 ◽  
Vol 17 (1) ◽  
pp. 21-29
Author(s):  
C. Korycinski ◽  
Alan F. Newell

The task of producing satisfactory indexes by automatic means has been tackled on two fronts: by statistical analysis of text and by attempting content analysis of the text in much the same way as a human indexcr does. Though statistical techniques have a lot to offer for free-text database systems, neither method has had much success with back-of-the-bopk indexing. This review examines some problems associated with the application of natural-language processing techniques to book texts.


1982 ◽  
Vol 4 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Karen Sparck Jones

Systems for retrieving data from pre-coded databases in response to natural language questions are one type of infor mation retrieval system. The paper discusses some of the problems involved in designing such systems, and uses a sys tem currently being developed to illustrate one approach to them.


Author(s):  
Giuliano Pistolesi

Synthetic Characters are intelligent agents able to show typical human-like cognitive behavior and an artificially-made perceived personality by means of complex natural language interaction and artificial reasoning and emotional skills. They are mainly spreading on the web as highly interactive digital assistants and tutoring agents on online database systems, e-commerce sites, web-based communities, online psychotherapy, and in several consulting situations where humans need assistance from intelligent software. Until now, synthetic characters, equipped with data, models, and simulation skills, have never been thought as the building blocks for natural language interaction-based intelligent DMSS. This chapter illustrates the first research and development attempt in this sense by an Open Source project in progress centred on the design of a synthetic character-based DMSS.


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