TITLE:		GENERATING A SPECIFIC CLASS OF METAPHORS
AUTHORS:	Mark Alan Jones
COMMENTS:	From Proceedings of the 30th Annual Meeting of the
		Association of Computational Linguistics (ACL), 1992

ABSTRACT:

Although some progress has been made in the area of metaphor
understanding, little has been made in metaphor generation.  Current
solutions rely upon a rather direct encoding of alternatives. There is
no computational theory that can account for metaphor generation from
basic principles.  Although generating all types of metaphors from
basic principles is very difficult, there is a subset of metaphors
that are prevalent in natural expressions and perhaps more amenable to
computational approaches.  We call these transparently-motivated (T-M)
metaphors .  Interestingly, these metaphors can be used to achieve
important textual goals (e.g., brevity, conceptual fit, focus,
perspective).