开放域端到端问答系统的前沿进展
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open-domain question answering
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1 http://trec.nist.gov 2 http://www.clef-campaign.org
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Chen, Danqi, et al. "Reading wikipedia to answer open-domain questions." arXiv preprint arXiv:1704.00051 (2017).
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Karpukhin, Vladimir, et al. "Dense passage retrieval for open-domain question answering." arXiv preprint arXiv:2004.04906 (2020).
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Karpukhin, Vladimir, et al. "Dense passage retrieval for open-domain question answering." arXiv preprint arXiv:2004.04906 (2020).
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Izacard, Gautier, and Edouard Grave. "Leveraging passage retrieval with generative models for open domain question answering." arXiv preprint arXiv:2007.01282 (2020).
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Izacard, Gautier, and Edouard Grave. "Leveraging passage retrieval with generative models for open domain question answering." arXiv preprint arXiv:2007.01282 (2020).
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Wang, Shuohang, et al. "R3: Reinforced ranker-reader for open-domain question answering." AAAI. 2018
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Wang, Shuohang, et al. "R3: Reinforced ranker-reader for open-domain question answering." AAAI. 2018
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Sachan, Devendra Singh, et al. "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering." arXiv preprint arXiv:2106.05346 (2021).
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Izacard, Gautier, and Edouard Grave. "Distilling knowledge from reader to retriever for question answering." arXiv preprint arXiv:2012.04584 (2020).
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Seo, Minjoon, et al. "Real-time open-domain question answering with dense-sparse phrase index." ACL2019
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Seo, Minjoon, et al. "Real-time open-domain question answering with dense-sparse phrase index." ACL2019
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Lee, Jinhyuk, et al. "Learning dense representations of phrases at scale." arXiv preprint arXiv:2012.12624 (2020).
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Lee, Jinhyuk, et al. "Learning dense representations of phrases at scale." arXiv preprint arXiv:2012.12624 (2020).
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1 Wang, Bingning, et al. “ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks.” Proceedings of the Web Conference 2021 (WWW2021).
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