The EM algorithm includes the following two steps to iteratively estimate the parameters of the model, θ: E-step: Fix current θ and obtain the conditional temporal clustering likelihoods P(TC.| corpus, θ).
for each event pair candidate, a temporal relation type will be selected based on current θ.