Discourse relation parsing is an impor-tant task with the goal of understanding text beyond the sentence boundaries. With the availability of annotated corpora (Penn Discourse Treebank) statistical discourse parsers were developed. In the litera-ture it was shown that the discourse pars-ing subtasks of discourse connective de-tection and relation sense classification do not generalize well across domains. The biomedical domain is of particular interest due to the availability of Biomedical Dis-course Relation Bank (BioDRB). In this paper we present cross-domain evaluation of PDTB trained discourse relation parser and evaluate feature-level domain adapta-tion techniques on the argument span ex-traction subtask. We demonstrate that the subtask generalizes well across domains. 1