Natural language contains many expressions with underspecified emotive content. This paper proposes a way to resolve such underspecification. Nonmonotonic inference over a knowledge base is used to derive an expected interpretation for emotive expressions in a particular context. This ‘normal’ meaning is then taken to influence the hearer’s expectations about probable interpretations, and, because of these probable interpretations, the decisions of the speaker about when use of underspecified emotive terms is appropriate.