Ненадзорный QA

method ID: unsupervisedqa

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Harvesting and Refining Question-Answer Pairs for Unsupervised QA

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Publication: TIPSTER (2020)

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AbstractQuestion Answering (QA) has shown great success thanks to the availability of large-scale datasets and the effectiveness of neural models. Recent research works have attempted to extend these successes to …...

37373

PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora

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AbstractSupervised Question Answering systems (QA systems) rely on domain-specific human-labeled data for training. Unsupervised QA systems generate their own question-answer training pairs, typically using secondary knowledge sources to achieve this …...

41632