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In the current era, a multitude of language models has emerged to cater to user inquiries.
Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le · 1906
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Spanbert: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy · 1907
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Baseball: an automatic question-answerer
Bert F Green Jr, Alice K Wolf, Carol Chomsky, and Kenneth Laughery · 1961
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Progress in natural language understanding: an application to lunar geology
William A Woods · 1973
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The trec question answering track
Ellen M Voorhees · 2001
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Retrospective reader for machine reading comprehension
Zhuosheng Zhang, Junjie Yang, and Hai Zhao · 2001
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Wikiqa: A challenge dataset for open-domain question answering
Yi Yang, Wen-tau Yih, and Christopher Meek · 2015
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Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
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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
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Newsqa: A machine comprehension dataset
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, and Kaheer Suleman · 2016
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Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang · 2018
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Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al · 2019
A question-focused multi-factor attention network for question answering
Souvik Kundu and Hwee Tou Ng · 2020
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Densely connected attention propagation for reading comprehension
Yi Tay, Luu Anh Tuan, Siu Cheung Hui, and Jian Su · 2020
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Retrieving and reading: A comprehensive survey on open-domain question answering
Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, and Tat-Seng Chua · 2021
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Learning to generate questions by learning to recover answer-containing sentences
Seohyun Back, Akhil Kedia, Sai Chetan Chinthakindi, Haejun Lee, and Jaegul Choo · 2021
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Persianquad: the native question answering dataset for the persian language
Arefeh Kazemi, Jamshid Mozafari, and Mohammad Ali Nematbakhsh · 2022
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Luke: Deep contextualized entity representations with entity-aware self-attention
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto · 2020
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Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut · 2020
Cited alongside, same era.
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, Tharindu Kaluarachchi, Rajib Rana, and Suranga Nanayakkara · 2022
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Reham Omar, Omij Mangukiya, Panos Kalnis, and Essam Mansour · 2023
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