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Open-Domain Generative Question Answering has achieved impressive performance in English by combining document-level retrieval with answer generation.
A compare-aggregate model with latent clustering for answer selection
Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, and Kyomin Jung. 2019 · 1905
Earlier work this paper cites.
On the cross-lingual transferability of monolingual representations
Mikel Artetxe, Sebastian Ruder, and Dani Yogatama. 2019 · 1910
Earlier work this paper cites.
Measuring nominal scale agreement among many raters
Joseph L. Fleiss. 1971 · 1971
Earlier work this paper cites.
A compare-aggregate model with dynamic-clip attention for answer selection
Weijie Bian, Si Li, Zhao Yang, Guang Chen, and Zhiqing Lin. 2017 · 1990
Earlier work this paper cites.
Okapi at trec-3
Stephen E Robertson, Steve Walker, Susan Jones, Micheline M Hancock-Beaulieu, Mike Gatford, et al. 1995 · 1995
Earlier work this paper cites.
The TREC question answering track
Ellen M. Voorhees. 2001 · 2001
Earlier work this paper cites.
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Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2002
Earlier work this paper cites.
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Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
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Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Kuttler, Mike Lewis, Wen tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020b · 2005
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020c · 2005
Earlier work this paper cites.
What is the Jeopardy model? a quasi-synchronous grammar for QA
Mengqiu Wang, Noah A. Smith, and Teruko Mitamura. 2007 · 2007
Earlier work this paper cites.
A framework for contrastive self-supervised learning and designing a new approach
William Falcon and Kyunghyun Cho. 2020 · 2009
Earlier work this paper cites.
Synthetic data augmentation for zero-shot cross-lingual question answering
Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, and Jacopo Staiano. 2020 · 2010
Earlier work this paper cites.
Pivot through english: Reliably answering multilingual questions without document retrieval
Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, and Christopher DuBois. 2020 · 2012
Earlier work this paper cites.
Wikiextractor
Giusepppe Attardi. 2015 · 2015
Earlier work this paper cites.
Learning to rank short text pairs with convolutional deep neural networks
Aliaksei Severyn and Alessandro Moschitti. 2015 · 2015
Earlier work this paper cites.
MS MARCO: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Earlier work this paper cites.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Earlier work this paper cites.
Cross-language question re-ranking
Giovanni Da San Martino, Salvatore Romeo, Alberto Barroón-Cedeño, Shafiq Joty, Lluís Maàrquez, Alessandro Moschitti, and Preslav Nakov. 2017 · 2017
Earlier work this paper cites.
Inter-weighted alignment network for sentence pair modeling
Gehui Shen, Yunlun Yang, and Zhi-Hong Deng. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
A compare-aggregate model for matching text sequences
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Cited alongside, same era.
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Abdulwhab Alkharashi and Joemon Jose. 2018 · 2018
Cited alongside, same era.
The price of debiasing automatic metrics in natural language evalaution
A. Chaganty, Stephen Mussmann, and Percy Liang. 2018 · 2018
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Matt Post. 2018 · 2018
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Multi-cast attention networks
Yi Tay, Luu Anh Tuan, and Siu Cheung Hui. 2018 · 2018
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Integrating question classification and deep learning for improved answer selection
Harish Tayyar Madabushi, Mark Lee, and John Barnden. 2018 · 2018
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Mkqa: A linguistically diverse benchmark for multilingual open domain question answering
Shayne Longpre, Yi Lu, and Joachim Daiber. 2020 · 2020
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Declarative experimentation ininformation retrieval using pyterrier
Craig Macdonald and Nicola Tonellotto. 2020 · 2020
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Reranking for efficient transformer-based answer selection
Yoshitomo Matsubara, Thuy Vu, and Alessandro Moschitti. 2020 · 2020
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How much knowledge can you pack into the parameters of a language model?
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Later among the works it cites.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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The context-dependent additive recurrent neural net
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Ryu Iida, Canasai Kruengkrai, Ryo Ishida, Kentaro Torisawa, Jong-Hoon Oh, and Julien Kloetzer. 2019 · 2019
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