The long-term goal of this project is to build an annotated corpus of biomedical text, to be used as a foundation for the development of automated anaphora resolution systems. We plan to explore the feasibility of using a community of volunteers to annotate a corpus drawn from publically available biomedical literature. We present issues in creating such a community and discuss results obtained from a pilot study. A motivational example In the past several years, research in machine processing of natural language has seen a resurgence of interest in issues involving anaphora resolution, the process of determining the intended referent of phrases whose interpretation depends on prior linguistic context. For example, consider the following text: