tl;dr -- if you tune SVD as vigorously as word2vec and associated NNs get tuned, they perform about the same...
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It seems what happened is: SVD performs mediocrely without extensive tuning, whereas NNs perform terribly without extensive tuning. -- So more tuning got done for NNs than for SVD, thus resulting in them giving better performance (due to more work on tuning) ;D
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Whomever programmed this simulation is such a f**king comedian !!!
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