By focusing only on the citation sentences in a research document, one can get a good feel for how the paper relates to other research and its overall contribution to the field. The main purpose of a citation is to explicitly link one research paper to another. We present a taxonomy of citation types based upon empirical data and claim that we can recognize these citation types using domain-independent predictive parsing techniques. Finally, an experiment based on a corpus of research papers in the field of machine learning demonstrates that this is a promising new approach for processing expository text.
