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A Word Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification

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Figure

Table 1:Word-Complexity lexicon consists of Englishwords and their complexity scores obtained by averaging overhuman ratings
Figure 1: The neural readability ranking (NRR) model.
Table 2: Substitution Ranking evaluation on English Lexi-cal Simplification shared-task of SemEval 2012
Table 4: Cross-validation accuracy and precision of our neu-ral readability ranking (NRR) model used to create SimpleP-PDB++, in comparison to the SimplePPDB and other base-lines.P+1 stands for the precision of ‘simplifying’ para-phrase rules and P−1 for the precision of ‘complicating’ rules.* indicates statistical significance (p < 0.05) compared to thebest performing baseline (Pavlick and Callison-Burch, 2016).
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