Cross-Lingual Natural Language Generation via Pre-Training
Table 4: Human evaluation results of zero-shot English-Chinese question generation. “*” indicates the improvements are significant at p<0.05. Same shorthands apply as in Table 3.
['Models', 'Rel', 'Flu', 'Corr']
In the zero-shot English-Chinese question generation experiments, we use Xlm and Pipeline (Xlm) as our baselines. Pipeline (Xlm) is a pipeline method that uses En-En-QG with Xlm to generate questions, and then translates the results to Chinese. Because there are no annotations for En-Zh-QG, we perform human evaluation studies for this setting.