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Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Applications And Expert Systems (I.2.1) > Natural Language Interfaces (I.2.1...)
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1-10 of 10
Reviews about "Natural Language Interfaces (I.2.1...)":
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Constructing an interactive natural language interface for relational databases
Li F., Bonifati A. Proceedings of the VLDB Endowment 8(1): 73-84, 2014. Type: Article
The Internet of Things is democratizing computer usage, with computers metamorphosing into communication devices making their way from offices to inside people’s homes, cars, factories, and so on. Data access on these compute...
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Aug 10 2016 |
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The ambiguity of negation in natural language queries to information retrieval systems
McQuire A., Eastman C. Journal of the American Society for Information Science 49(9): 686-692, 1998. Type: Article
Consider the following natural language information retrieval query: “I’m interested in articles about subject A but not related to subject B or subject C.” Is it possible to interpret a query like this in...
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Nov 1 1998 |
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Trading MIPS and memory for knowledge engineering
Creecy R., Masand B., Smith S., Waltz D. Communications of the ACM 35(8): 48-64, 1992. Type: Article
Developed for the US Census Bureau, the Parallel Automated Coding Expert (PACE) uses an empirical learning model called memory-based reasoning (MBR). It aims to replace the Automated Industry and Occupation Coding System (AIOCS) develo...
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Mar 1 1994 |
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KRITON: a knowledge-acquisition tool for expert systems
Diederich J., Ruhmann I., May M. International Journal of Man-Machine Studies 26(1): 29-40, 1987. Type: Article
The goal of the research described here is to develop a system, called KRITON, that can acquire domain-specific problem-solving knowledge by interviewing experts, analyzing protocols, and understanding documents....
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May 1 1988 |
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What do users ask? Some thoughts on diagnostic advice
Kidd A. Expert systems 85 (, Univ. of Warwick, Warwick, UK, 191986. Type: Proceedings
The paper is concerned with the requirements of expert systems for providing advice to persons (so-called users) who are faced with acute problems of practical, everyday life. The main contribution of the study is a review of observati...
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Feb 1 1987 |
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UMFE: a user modelling front-end subsystem
Sleeman D. International Journal of Man-Machine Studies 23(1): 71-88, 1985. Type: Article
Most interactive computer systems respond to users as if each possessed an identical and high expertise, which is an obviously incorrect assumption. The present paper describes a system which can act as a sympathetic interpreter betwee...
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Aug 1 1986 |
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Natural-language interface for an instructable robot
Maas R., Suppes P. International Journal of Man-Machine Studies 22(2): 215-240, 1985. Type: Article
The problem of instructing a robot is similar to that of instructing a child, but much more difficult, because the robot has no linguistic background to understand declarations and interpret instructions for specific actions. Some 30 y...
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May 1 1986 |
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Reasoning in natural language for designing a data base
Colombetti M., Guida G., Pernici B., Somalvico M. Artificial and human intelligence (, Lyon, France, 3141984. Type: Proceedings
This paper is devoted to the problem of interactive design of a database schema using a natural language interface. It relies on the observation that the knowledge representations used for natural language processing and for computer-a...
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Feb 1 1986 |
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Knowledge based systems versus thesaurus : an architecture problem about expert systems design
Defude B. Research and development in information retrieval (, King’s College, Cambridge, 2801984. Type: Proceedings
This paper presents the argument that a language thesaurus should play a central role in natural language interfaces to information retrieval systems. The thesaurus will include terms related to the application area and the semantic re...
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Aug 1 1985 |
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On the application of rule-based techniques to the design of advice giving systems
Jackson P., Lefrere P. International Journal of Man-Machine Studies 20(1): 63-86, 1984. Type: Article
Even the first-generation computer was able, if not to give advice, then at least to signal abnormal occurrences like overflow, low voltage, etc. A second-generation computer, developed in the 1960s with much more “intellige...
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May 1 1985 |
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