Papers with RefQA

1 papers
Harvesting and Refining Question-Answer Pairs for Unsupervised QA (2020.acl-main)

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Challenge: Recent research attempts to extend unsupervised question answering to settings with few or no labeled data available.
Approach: They propose two approaches to improve unsupervised question answering . first, they harvest lexically and syntactically divergent Wikipedia questions to automatically construct a corpus of question-answer pairs . second, they take advantage of the QA model to extract more appropriate answers .
Outcome: The proposed approach outperforms previous unsupervised approaches by a large margin and is competitive with early supervised models.

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