Reinforced Question Rewriting for Conversational Question Answering

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Original

Jeffrey Dalton, Chenyan Xiong, and Jamie Callan. 2020 · 2003

Earlier work this paper cites.

ROUGE: A package for automatic evaluation of summaries

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Earlier work this paper cites.

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Earlier work this paper cites.

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Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016 · 2016

Earlier work this paper cites.

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Earlier work this paper cites.

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Original

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Earlier work this paper cites.

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Rodrigo Nogueira and Kyunghyun Cho. 2017 · 2017

Earlier work this paper cites.

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Steven J Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, and Vaibhava Goel. 2017 · 2017

Earlier work this paper cites.

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Later among the works it cites.

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Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 2020

Later among the works it cites.

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Later among the works it cites.

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