---
title: "Understanding New Metaphors"
authors:
  - "James H. Martin"
doi: ""
url: "https://ijcai.org/proceedings/1987/26"
pdf: "https://ijcai.org/proceedings/1987/0026.pdf"
venue: "Proceedings of the Tenth International Joint Conference on Artificial Intelligence"
year: 1987
pages: "137-138"
track: "Cognitive Modeling"
keywords:
---

# Understanding New Metaphors

James H. Martin

*Proceedings of the Tenth International Joint Conference on Artificial Intelligence*, pages 137-138.

## Abstract

Metaphors are widespread in natural language. Most natural language processing systems have failed to adequately deal with this issue. A two part approach to this problem involving a Metaphoric Lexicon and a dynamic extension system is described. The extension mechanism operates by analogically mapping previously understood mappings to account for new uses based on known regularities in the English metaphor system. A system based on this approach has been applied to the UNIX domain. Results indicate that this domain exhibits all the predicted regularities and that understanding new senses is possible using these regularities