In this paper the methods applied to resolve anaphora in the speech recognition application scenario are described. In these applications shallow-parsing has been used, which provides no information about sentence structure and only relevant phrases are returned. As syntactic information is an essential input to most resolution algorithms, a new method had to be developed. It is based on the model presented in [Str98]. In addition a set of filters is employed to overcome the lack of syntactic information so that it is possible to determine some of the dependencies between different phrases, which are needed to successfully solve anaphora.