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The process of collecting and annotating training data may introduce distribution artifacts which may limit the ability of models to learn correct generalization behavior.
SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2019 · 1907
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Roberta: A robustly optimized bert pretraining approach
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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 · 1909
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Knowledge enhanced contextual word representations
Matthew E Peters, Mark Neumann, IV Logan, L Robert, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A Smith. 2019 · 1909
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Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, and Ben Zhou. 2020 · 2004
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Position-aware attention and supervised data improve slot filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Manning. 2017 · 2017
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Know what you don’t know: Unanswerable questions for SQuAD
Inoculation by fine-tuning: A method for analyzing challenge datasets
Nelson F. Liu, Roy Schwartz, and Noah A. Smith. 2019a · 2019
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Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Tom McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 2019
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Relation extraction as two-way span-prediction
Amir DN Cohen, Shachar Rosenman, and Yoav Goldberg. 2020 · 2020
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Gestalt: a stacking ensemble for squad2.0
Mohamed El-Geish. 2020 · 2020
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Learning the difference that makes A difference with counterfactually-augmented data
Divyansh Kaushik, Eduard H. Hovy, and Zachary Chase Lipton. 2020 · 2020
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Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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