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Implementation of conversational QA model: FlowQA (with slight improvement)

Results 19 FlowQA issues
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i use --resume, after i evaluate the model and then train, i get this error: Traceback (most recent call last): File "train_CoQA.py", line 229, in main() File "train_CoQA.py", line 122,...

Hi, during my run time I have found that batch size parameter could impact the performance of the model during testing time?, Could it be due to fact that the...

Hello, I want to know how you solve the problem of co-reference and ellipsis in the conversation.

How to use this on our input

Hi, Thank you for sharing the code! It really helps us better understand the FlowQA model. It seems that in your implementation, both model_CoQA and model_QuAC use the same FlowQA...

What are the hyper parameter setting of your best model ? I have a hard time to reproduce your experiments result. I think there may be something I done wrong.

i change the code to evaluate for n batches, and get this error: Traceback (most recent call last): File "train_CoQA.py", line 234, in main() File "train_CoQA.py", line 122, in main...

I noticed that you used many transposes rather than one permutation in the flow operation, is that for better performance? I think the following code is equivalent to the original...