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This is a chinese Bert model specific for question answering
This seems to return embedding for input question and answer. How can we pass a random question and generate an answer?
thanks for sharing:
in the readme you say "Data: 200m chinese internet question answering pairs. Vocab: 52777, jieba CWS enhanced with forward maximum matching."
so you train process is just pair of <question,answer>,so this train process is different with squad which <passage,question,answer>, because you don't have passage and this is not a span extraction problem!
if i said is right,you train is two input sentence similarity probelm?
can you give some explanation
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