Author: SRI International

  • Metaphor, Metaphor Schemata, and Selective Inferencing

    Three examples of metaphors are examined in detail in this light–a simple metaphor, a spatial metaphor schema, and a novel metaphor.

  • Natural Language Processing

    Natural Language Processing

    PARC, which is now part of SRI, invented computational linguistic technologies based on understanding the structure of language.

  • Artificial Intelligence: State Of The Art

    The problems tackled by research workers and AI are typically large, complex, and involves ambiguity and uncertainty. AI attempts to come to grips with the real world, with all its confusion and richness, and to interact with people, with all their irrationalities and idiosyncrasies.

  • Handling Complex Queries In A Distributed Data Base

    As part of the continuing development of the LADDER system, we have substantially expanded the capabilities of the data base access component that serves as the interface between the natural-language front end of LADDER and the data base management systems on which the data is actually stored.

  • Theoretical Foundations Of Linguistics and Automatic Text Processing

    The interdisciplinary research required to design such systems have a common center, conceptually, in the development of new kinds of lexical information, since words are not only linguistics objects, they are also psychological objects that evoke experiences from which meanings can be inferred.

  • An Iconic Transform For Sketch Completion and Shape Abstraction

    This paper shows how a simple label propagation technique, in conjunction with some novel ideas about how labels can be applied to an image to express semantic knowledge, lead to the simplification of a number of diverse and difficult image analysis tasks.

  • Problem Solving Tactics

    This paper describes the basic strategies of automatic problem solving, and then focuses on a variety of tactics for improving their efficiency.

  • Utterance and Objective: Issues In Natural Language Communication

    This paper evaluates the capabilities of natural language processing systems against requirements and identifies crucial areas for future research in language processing, common-sense reasoning, and their coordination.

  • Computational Models Of Beliefs and The Semantics Of Belief-Sentences

    We present a semantic interpretation for belief sentences and show how this interpretation overcomes some of the difficulties of alternative approaches, especially those based on possible-world semantics.

  • Focusing and Description In Natural Language Dialogues

    This paper describes focusing mechanisms based on domain structure clues which have been included in a computer system and, from this perspective, indicates future research problems entailed in modeling the focusing process more generally.

  • Hierarchical Representation Of Three-Dimensional Objects Using Verbal Models

    We present a formalism for the computer representation of three-dimensional shapes, that has as its goal to facilitate man-machine communication using verbal, graphic, and visual means. With this method, pieces may be assembled hierarchically using any of several ways of specifying attachment.

  • Robotic Sensors in Programmable Automation

    Characterized by flexibility and the ease of setup for new production tasks, programmable automation employs industrial robots. Today’s robots possess “muscles” only; there is a need to develop intelligent robots that can detect faults and correct errors by using sensors and computer control.