ICLR 2021poster73 citations
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Wenhan Xiong, Xiang Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih
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.
multi-hop question answeringrecursive dense retrievalopen domain complex question answering
BibTeX
@inproceedings{
xiong2021answering,
title={Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval},
author={Wenhan Xiong and Xiang Li and Srini Iyer and Jingfei Du and Patrick Lewis and William Yang Wang and Yashar Mehdad and Scott Yih and Sebastian Riedel and Douwe Kiela and Barlas Oguz},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=EMHoBG0avc1}
}