  We present an analysis of the problem of identifying biological context and
associating it with biochemical events in biomedical texts. This constitutes a
non-trivial, inter-sentential relation extraction task. We focus on biological
context as descriptions of the species, tissue type and cell type that are
associated with biochemical events. We describe the properties of an annotated
corpus of context-event relations and present and evaluate several classifiers
for context-event association trained on syntactic, distance and frequency
features.
