Table 10.

Comparison of RA (%) and SA (%) using BERT, SimCSE, two-view CL (our SimCSE) and two-view AT (our AT) under adversarial perturbations of TextFooler and BERT-Attack. Yelp and IMDB datasets are evaluated

PerturbationsMethodsYelpIMDB
RASARASA
TextFooler (Jin et al., 2020)BERT (Devlin et al., 2019; Li et al., 2020b)6.695.613.690.9
SimCSE (Gao et al., 2021)7.996.415.792.0
Ours (SimCSE)20.395.123.888.3
Ours (AT)35.394.539.387.9
BERT-Attack (Li et al., 2020b)BERT (Devlin et al., 2019; Li et al., 2020b)5.111.4
SimCSE (Gao et al., 2021)6.713.7
Ours (SimCSE)18.420.4
Ours (AT)31.935.3

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