Question about the <mask>
When fine-tuning the Bert, can I add some kind of constraint on the pre_trained **Bert model** so that Bert knows the different locations of **\<mask\>** to predict the same content? For example,  **xxx \<mask1\> xxx xxx, .... xxx \<mask1\>.**. I know Bert can predict the **MASK** in two positions into the same word when the sentence is not very long, completely. However, if the sentence is long, is there any way to tell the model that the two positions should be predicted into the same word? Please answer me at your convenience, thank you. :)
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