Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation
Table 3: Comparison of our best zero-shot result on the French SNLI test set to other baselines. See text for details.
['[BOLD] Model', 'SNLI (Fr)']
Finally, on SNLI, we compare our best zero-shot system with bilingual and multilingual embedding based methods evaluated on the same French test set in \citeauthorlrec2018 \shortcitelrec2018. INVERT BiCVM Our system significantly outperforms all methods listed in the second column by 10.66% to 15.24% and demonstrates the effectiveness of our proposed approach.