BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018b · 2018
Cited alongside, same era.
Augmenting neural networks with first-order logic
Tao Li and Vivek Srikumar. 2019 · 2019
Cited alongside, same era.
Roberta: A robustly optimized bert pretraining approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov. 2019 · 2019
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 2019
Cited alongside, same era.
Taxinli: Taking a ride up the NLU hill
Pratik Joshi, Somak Aditya, Aalok Sathe, and Monojit Choudhury. 2020 · 2020
Cited alongside, same era.
Natural logic for textual inference
Bill MacCartney and Christopher D. Manning. 2007a
Cited in the paper.
Natural logic for textual inference
Bill MacCartney and Christopher D Manning. 2007b
Cited in the paper.
A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018a
Cited in the paper.
Help: A dataset for identifying shortcomings of neural models in monotonicity reasoning
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, , and Johan Bos. 2019a
Cited in the paper.
Can neural networks understand monotonicity reasoning?
Original
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, and Johan Bos. 2019b
Cited in the paper.