Out of these, our classifier mistakenly labeled 759 instances of negative samples as true paraphrases, while 413 cases of true paraphrases were not recognized.
in our opinion the 759 false positives are less severe errors in our envisioned semi-supervised application setting, as user intentions and the current task at hand may highly influence a user's decision to consider texts as reused or not.