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Learning Structured Predictors from Bandit Feedback for Interactive NLP

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Table 1: Metaparameter settings determined on dev sets for constant learning rate γ t , temperature co-efficient T 0 for annealing under the schedule T=T 0√ /3epoch +1 (Rose, 1998; Arun et al., 2010),momentum coefficient mi n { −1(1 t //2 +2) , µ } (Polyak,
Table 2: Test set evaluation for full information lower and upper bounds and partial information banditlearners (expected loss, pairwise loss, cross-entropy)
Figure 1: Learning curves for task loss BLEU on development data for SMT hypergraph re-decodingmodels, together with averages over three runs of the respective algorithms.

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