First, U.S. congressional debates contain very rich language and cover an extremely wide variety of topics, ranging from flag burning to international policy to the federal budget.
as an alternative to using same-speaker links, we tried a speaker-based approach wherein the way we determine the initial individual-document classification score for each speech segment uttered by a person p in a given debate is to run an SVM on the concatenation of all of p's speech segments within that debate.