The weights of the CRF component of our model, θ SEQ , are the only weights learned at training time, using a distant supervision process described in Section 6.
while the two-stage filtering does not fully eliminate noise in the input stream, it greatly reduces the presence of irrelevant messages to a manageable 5,800 messages without filtering too many 'signal' tweets.