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Paraphrase Detection on Noisy Subtitles in Six Languages

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Academic year: 2020

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Table 1: The numbers and proportions of different er-ror types in the data discarded by the annotators
Table 2: Classification accuracies on the Opusparcustest sets for models trained on 1 million positive sen-tence pairs
Table 3: Results on Opusparcus for GRAN (all languages) and WA (English only). The first six rows show theaccuracies of the GRAN model at different estimated levels of correctly labeled positive training pairs: 80%, 70%,and 60%
Table 5:The ten most similar sentences to “Kanngut sein.” in the Opusparcus German development set,based on sentence embeddings produced by the GRANand WA models, respectively
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