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License: Other
Repository for KDA(Knowledge-dependent Answerability), EMNLP 2022 work
License: Other
Currently, we found out that bert-based models report the same probabilities for all options if the total length of the passage + question exceeds 512 tokens since it's their maximum token length. We found the issue, but after discussion, we concluded that the truncation for the 512 tokens is not a fundamental solution to this problem since the key information for question-solving may be mentioned in the cut-offed part of the passage. We will soon prepare a solution for longer passages.
We are now considering splitting the passage into smaller sentences, and returning the maximum KDA value among calculations over all pairs of split passage - questions.
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