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The biases present in training datasets have been shown to affect models for sentence pair classification tasks such as natural language inference (NLI) and fact verification.
Catastrophic forgetting in connectionists networks
Robert M French. 1999 · 1999
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New insights and perspectives on the natural gradient method
James Martens. 2014 · 2014
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Enhanced LSTM for Natural Language Inference
Qian Chen, Xiaodan Zhu, Zhenhua Ling, Si Wei, Hui Jiang, and Diana Inkpen. 2016 · 2016
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AllenNLP: A Deep Semantic Natural Language Processing Platform
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James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell. 2017 · 2017
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An Overview of Multi-Task Learning in Deep Neural Networks
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Annotation Artifacts in Natural Language Inference Data
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Stress Test Evaluation for Natural Language Inference
Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh, Carolyn Rose, and Graham Neubig. 2018 · 2018
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Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme. 2018 · 2018
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FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
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A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference
Thomas R. McCoy, Ellie Pavlick, and Tal Linzen. 2020 · 2019
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Domain Adaptive Inference for Neural Machine Translation
Danielle Saunders, Felix Stahlberg, Adrià de Gispert, and Bill Byrne. 2019 · 2019
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Towards Debiasing Fact Verification Models
Tal Schuster, Darsh J Shah, Yun Jie Serene Yeo, Daniel Filizzola, Enrico Santus, and Regina Barzilay. 2019 · 2019
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On the Importance of Delexicalization for Fact Verification
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Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension
Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, and Pontus Stenetorp. 2020 · 2020
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MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets
Nelson F. Liu, Roy Schwartz, and Noah A. Smith. 2019a
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End-to-End Bias Mitigation by Modelling Biases in Corpora
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