Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Wenhan Xiong; Xiang Lorraine Li; Srini Iyer; Jingfei Du; Patrick Lewis; William Yang Wang; Yashar Mehdad; Wen-tau Yih; Sebastian Riedel; Douwe Kiela; Barlas Oğuz

arXiv · 2009.12756

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Wenhan Xiong·Xiang Lorraine Li·Srini Iyer·Jingfei Du·Patrick Lewis·William Yang Wang·Yashar Mehdad·Wen-tau Yih·Sebastian Riedel·Douwe Kiela·Barlas Oğuz

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Abstract

We propose a simple and efficient multi-hop dense retrieval approach for answering complex open-domain questions, which achieves state-of-the-art performance on two multi-hop datasets, HotpotQA and multi-evidence FEVER. Contrary to previous work, our method does not require access to any corpus-specific information, such as inter-document hyperlinks or human-annotated entity markers, and can be applied to any unstructured text corpus. Our system also yields a much better efficiency-accuracy trade-off, matching the best published accuracy on HotpotQA while being 10 times faster at inference time.

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Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oğuz. 2021-02-19. Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. https://arxiv.org/abs/2009.12756

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