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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