Hi!
We don’t have such method implemented, but it is possible to implement it by yourself:
best answer selection happens in this codeline: https://github.com/deepmipt/DeepPavlov/blob/master/deeppavlov/models/bert/bert_squad.py#L359
you can modify this logic to take top N answers and add argument top_n to __init__.
In such way, you will be able to get top N answers, where answers are all best answers from each chunk.
It would be great if you could add this functionality to DeepPavlov via Pull Request.