From the table, we can observe that the one-word noise will bring about 7% ∼ 13% absolute de-crease on R 10 @1 and the three-word noise brings about 20% R 10 @1 decrease.
we can see that matching-based models Zhang et al., 2018;Zhou et al., 2018c;Tao et al., 2019) are very sensitive to small noises of the dataset.