TMLab: Generative Enhanced Model (GEM) for adversarial attacks

Adversarial attacks against fact extraction and verification

Original

James Thorne and Andreas Vlachos. 2019 · 1903

Earlier work this paper cites.

Xlnet: Generalized autoregressive pretraining for language understanding

Original

Zhilin Yang, Zihang Dai, Yiming Yang, Jaime G. Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 1906

Earlier work this paper cites.

Roberta: A robustly optimized BERT pretraining approach

Original

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907

Earlier work this paper cites.

Binary Codes Capable of Correcting Deletions, Insertions and Reversals

VI Levenshtein. 1966 · 1966

Cited alongside, same era.

spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing

Matthew Honnibal and Ines Montani. 2017 · 2017

Cited alongside, same era.

Attention is all you need

Original

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Later among the works it cites.

Language models are unsupervised multitask learners

Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019

Closest in time.