I further output the intermediate result,and find that
input: 42 is the answer to life, the universe and everything.
sents, answers: ['42 is the answer to life, the universe and everything.'] [['<pad> 42']]
answer: [['<pad> 42']]
the model give the answer " 42" which is not in the input sentence " 42 is the answer to life, the universe and everything."
hi, thanks for publish this amazing tool !
i run the demo and find some problem
it is said that
I find that it is because in line 142 there is a ".index", and the answer is not in input sentence, so it cannot find the answer in sentence https://github.com/patil-suraj/question_generation/blob/master/pipelines.py#L142
I further output the intermediate result,and find that
the model give the answer " 42" which is not in the input sentence " 42 is the answer to life, the universe and everything."
I wonder why there is a and how to solve it
thx