Learning Paraphrastic Sentence Embeddingsfrom Back-Translated Bitext
Table 13: Test results when using more training data. More data helps both Avg and GRAN, where both models get close to or surpass training on SimpWiki and comfortably surpass the PPDB baseline. The amount of training examples used is in parentheses.
['Data', 'GRAN', 'Avg']
PPDB is soundly beaten by both data sources. Moreover, the CC-CS and CC-DE data have greatly improved their performance from training on just 24,000 examples from 66.77 and 66.61 respectively, providing more evidence that this approach does indeed scale.