SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Table 1: ROUGE F1 scores on the combined AFP/APW/XIN/NYT in-domain test set.
['[EMPTY]', 'AFP/APW/XIN/NYT Test Rouge-1', 'AFP/APW/XIN/NYT Test Rouge-2', 'AFP/APW/XIN/NYT Test Rouge-L']
Main Results Fig. The numbers indicate that the SP and M-SP models consistently outperform the S and P model, supporting the conclusion that the S model loses important characteristics due to averaging effects, while the P models miss the opportunity to efficiently exploit the training data. Additionally, the performance of SP is consistently better than M-SP in this setting, which indicates that the style label is helpful. As shown in Fig. The performance of the classifier is directly reflected in the quantitative difference between the SP and M-SP models on individual-style test sets (see Fig.