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<?xml version="1.0" standalone="yes"?> <Paper uid="I05-6007"> <Title>Syntactic Identification of Attribution in the RST Treebank</Title> <Section position="1" start_page="0" end_page="0" type="abstr"> <SectionTitle> Abstract </SectionTitle> <Paragraph position="0"> We present a system that automatically identifies Attribution, an intra-sentential relation in the RST Treebank. The system uses uses syntactic information from Penn Treebank parse trees. It identifies Attributions as structures in which a verb takes an SBAR complement, and achieves a f-score of .92. This supports our claim that the Attribution relation should be eliminated from a discourse treebank, since it represents information that is already present in the Penn Treebank, in a different form. More generally, we suggest that intra-sentential relations in the RST Treebank might all be eliminable in this way.</Paragraph> </Section> class="xml-element"></Paper>