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Table 6: 
Final prediction F1 score of our model on the auxiliary story classification task in terms of the four types of story sets respectively, and the proportional distribution of the predicted story types of the generated stories by different models.
Story typesD1D2D3D4
F1 score 0.80 0.81 0.88 0.98 
 
Models Proportional Distribution (%) 
GPT-2 (Pretrain) 15.83 40.8 39.36 4.01 
GPT-2 (Fine-tune) 86.94 9.98 2.93 0.15 
 
Ours 90.12 7.98 1.86 0.04 
w/o Knowledge 87.76 9.51 2.67 0.06 
w/o Multi-task 88.69 9.07 2.02 0.22 
Story typesD1D2D3D4
F1 score 0.80 0.81 0.88 0.98 
 
Models Proportional Distribution (%) 
GPT-2 (Pretrain) 15.83 40.8 39.36 4.01 
GPT-2 (Fine-tune) 86.94 9.98 2.93 0.15 
 
Ours 90.12 7.98 1.86 0.04 
w/o Knowledge 87.76 9.51 2.67 0.06 
w/o Multi-task 88.69 9.07 2.02 0.22 
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