Year: 1988
Type: conference-paper
Abstract: This paper describes a system for representing knowledge about conventional metaphors for use by natural language analysis, generation and acquisition systems. A system of hierarchically related structured associations is used. These associations are implemented as a part of the KODIAK representation language. Particular attention is paid in this paper to representational mechanisms that can capture generalizations over the system of conventional metaphors as a whole.
Author: James H. Martin
Institution: University of California, Berkeley
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2008538250
