Xiong, W;
Lewis, P;
Riedel, S;
Li, XL;
Wang, W;
Iyer, S;
Mehdad, Y;
... Oğuz, B; + view all
(2020)
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.
In:
ICLR 2021 - 9th International Conference on Learning Representations.
ICLR: Vienna, Austria.
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval |
| Event: | ICLR 2021 - 9th International Conference on Learning Representations |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://openreview.net/forum?id=EMHoBG0avc1 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | multi-hop question answering, recursive dense retrieval, open domain complex question answering |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10167456 |
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