Author: SRI International
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Artificial Intelligence: Engineering, Science Or Slogan?
This paper presents the view that artificial intelligence (AI) is primarily concerned with propositional languages for representing knowledge and with techniques for manipulating these representations.
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Natural-Language Processing Part One: The Field In Perspective
The intent of the authors is to demonstrate that natural-language processing techniques are useful now, to reveal the richness of the computations performed by human natural-language communicators, and to explain why the fluent use of natural language by machines remains an elusive aspiration.
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Knowledge-Engineering Techniques and Tools in the Prospector Environment
Techniques and tools to assist in several phases of the knowledge-engineering process for developing an expert system are explored.
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Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography
A major portion of this paper describes the application of RANSAC to the Location Determination Problem (LDP): Given an image depicting a set of landmarks with known locations, determine that point in space from which the image was obtained.
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Detection Of Rivers In Low-Resolution Aerial Imagery
This paper describes an operator for detecting rivers in low-resolution aerial imagery. The operator provides results that would allow graph-traversing routines to delineate these structures.
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Test-Score Semantics for Natural Languages and Meaning Representation via PRUF
In test-score semantics, predicates, propositions and other types of linguistic entities are treated as collections of elastic constraints on a set of objects or relations in a universe of discourse.
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Problems In Logical Form
This paper surveys some of the key problems that arise in defining a system of representation for the logical forms of English sentences and suggests possible approaches to their solution while examining specific problems in logical form.
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Transportable Natural-Language Interfaces To Databases
This paper describes initial work on a methodology for creating natural-language processing capabilities for new databases without the need for intervention by specially trained experts. A prototype system using this methodology is described and an example transcript is presented.
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Automatic Deduction For Commonsense Reasoning: An Overview
This article provides an overview of the issues involved in drawing conclusions by means of deductive inference from bodies of commonsense knowledge represented by logical formulas.
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A Team User’s Guide
TEAM (Transportable English Data Access Manager) is a computer system designed to acquire information about a (local or remote) database, and subsequently to interpret and answer questions addressed to the database in a subset of natural language.
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Natural Language Access To Medical Text
This paper describes research on the development of a methodology for representing the information in texts and of procedures for relating the linguistic structure of a request to the corresponding representations. The work is being done within a prototype system that will allow physicians to access information in a computerized textbook of hepatitis.
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Computational Structures For Machine Perception
This note discusses the adequacy of current computer architectures to serve as a base for building machine vision systems.