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Weakly Supervised Learning with Cost Augmented Contrastive Estimation

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Figure

Table 1: Counts and costs for universal tags basedon treebanks for 11 languages not used in POS in-duction experiments.
Figure 1: Contrastive estimation (Eq. 2) and cost-augmented contrastive estimation (Eq
Table 2: Results for observation cost functions. The CE baseline corresponds to rows where cost=“none”.Other rows are CCE
Table 3: Unsupervised POS tagging accuracies for five languages, showing results for three systems fromthe PASCAL shared task as well as three other baselines (EM, stepwise EM, and contrastive estimation).All (C)CE results use the TRANS1 neighborhood

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