Today there exist a growing number of framenet-like resources offering semantic and syntactic phrase specifications that can be exploited by natural language generation systems. In this paper we present on-going work that provides a starting point for exploiting framenet information for multilingual natural language generation. We describe the kind of information offered by modern computational lexical resources and discuss how template-based generation systems can benefit from them.