In this paper a way to treat anaphoric processes in a natural language dialogue system is proposed. It makes extensive use of syntactic and semantic information to find the right antecedents for anaphoric expressions. Using the proposed method it can be shown that the right candidate for an anaphoric expression can be found in 89% out of 300 dialogues.