An Alternative to Deep Case for Representing Relational Information

Nigel Ward

Coling 1992

Abstract

No one has come up with a completely satisfactory set of deep case
relations (or thematic relations).  The underlying reason is that any
finite set of case relations can capture only some of the desired
generalizations.  I propose instead a feature-space representation of
relational information, where the axes are such things as degree of
responsibility, degree of activity, and degree of affectedness.  The role
of a participant in an event can then be described as a point in this
space, allowing more accurate representation of relational information.
The domain of validity of each relevant linguistic generalizations
corresponds to a prototype-centered region in the space.  This proposal is
easy to implement.

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