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An Ensemble Method for Selection of High Quality Parses

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Figure

Figure 1: F-score vs. the fraction of parses whosef-score is at least that f-score. For the in-domainscenario, the parsers are tested on sec 23 of the WSJPenn Treebank
Figure 2: The effect of the number of models N(right, solid curve and left y-axis), and filter preci-sion withonSEPA (Collins’ model)
Table 3 compares SEPA and WOODWARDSEPA achieves 43%. These numbers were the onlyones reported in (Yates et al., 2006).Not shown in the table, in terms of ordinary f-scoreexact same test set used by(taken from WSJ sec 23)
Figure 3: Agreement threshold Tlected set (right), for SEPA with Collins’ generative model (top) and the Charniak reranking model (bottom).SEPA parameters aretation (middle) scenarios are compared to the confidence (CB) and minimum length (ML) baselines
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