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Obtaining training data for multi-hop question answering (QA) is time-consuming and resource-intensive.
Recent advances in neural question generation
Liangming Pan, Wenqiang Lei, Tat-Seng Chua, and Min-Yen Kan. 2019 · 1905
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 1910
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