Language Modeling (LM) has been successfully applied to Information Retrieval (IR). Dependence models have recently incorporated term relationships into LM to expand the document model. We extend this family of dependence models with term relationships and more sophisticated inferential relationships extracted with Information Flow (IF) which allow for context-dependent query expansion. Our experiments conducted on TREC collections show that we can obtain large and significant improvements with this approach.