Answering Complex Open-Domain Questions with Multi-Hop Dense RetrievalDownload PDF

28 Sept 2020, 15:49 (modified: 10 Feb 2022, 11:46)ICLR 2021 PosterReaders: Everyone
Keywords: multi-hop question answering, recursive dense retrieval, open domain complex question answering
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.
One-sentence Summary: We propose a simple yet effective multi-hop dense retrieval approach for answering complex open-domain questions.
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Code: [![github](/images/github_icon.svg) facebookresearch/multihop_dense_retrieval](https://github.com/facebookresearch/multihop_dense_retrieval)
Data: [HotpotQA](https://paperswithcode.com/dataset/hotpotqa), [Natural Questions](https://paperswithcode.com/dataset/natural-questions)
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