Publications
-
An INTERLISP Relational Data Base System
INTERLISP, an interactive, development-oriented computer programming system, has been augmented to support applications requiring large data bases maintained on secondary store.
-
A Tuneable Performance Grammar
This paper describes a tuneable performance grammar currently being developed for speech understanding.
-
Establishing Context in Task-Oriented Dialogs
This paper describes part of the discourse component of a speech understanding system for task-oriented dialogs, specifically, a mechanism for establishing a focus of attention to aid in identifying the…
-
System Integration and Control in a Speech Understanding System
This paper first describes the roles played by acoustics, syntax, semantics, and discourse, and shows how a language definition is used to integrate them into a system in a way…
-
Semantic Processing For Speech Understanding
The semantic component of the speech understanding system being developed jointly by SRI and SDC rules out phrase combinations that are not meaningful and produces semantic interpretations for combination that…
-
Speech Generation from Semantic Nets
A set of verb templates is being derived from a study of the surface syntax of some 3000 English verbs: the active forms of the verbs have been classified according…
-
A Structure For Plans and Behavior
A new method for representing actions within a computer memory has been developed, and this new representation, called the procedural net, has been employed in developing new strategies for solving…
-
Progress in Speech Understanding Research at SRI
This paper describes research on the development of a speech understanding system capable of engaging a human operator in a conversation about a specific task domain.
-
Deductive Retrieval Mechanisms for State Description Models
This paper presents some programming facilities for modeling the semantics of a task domain and for describing the situations that occur in that domain as a task is being carried…
-
Representation and Use of Knowledge in Vision
This paper identifies fundamental information-processing principles relevant to representation and use of knowledge in vision and traces limitations of existing programs.
-
Achieving Several Goals Simultaneously
This paper develops the following strategy: to achieve two goals simultaneously, develop a plan to achieve one of them and then modify that plan to achieve the second as well.…
-
Expanding the Utility of Semantic Networks Through Partitioning
These net spaces delimit the scopes of quantified variables, distinguish hypothetical and imaginary situations from reality, encode alternative worlds considered in planning, and focus attention at particular levels of detail.