As discussed previously, the PDTB-and RST-style discourse parsers used in our experiments are far from perfect.
it is possible that using automatically extracted discourse relations creates some bias to the training procedure; it is also possible that what our model actually learns is the distribution over those discourse relations which automatic discourse parsers are mostly confident with, and thus errors (if any) made on other relations do not matter.