Identifying Cultural Differences through Multi-Lingual Wikipedia
Table 4: Table showing F1 scores of Positive and Negative class when trained on Positive and Negative Samples from Wikipedia under three different settings and tested on the same.
['TrainingTesting', 'None Back-translated Negative', 'None Back-translated Positive', 'Only Negative Negative', 'Only Negative Positive', 'Both Back-translated Negative', 'Both Back-translated Positive']
It gives significant improvement in results when tested under the 3 possible settings and hence is ideal to be used for inference in other domains. It also shows that models trained on None Back-translated and Only Negative data, while working well under their own respective setting, doesn’t transfer well to other settings.