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Popular Natural Language Inference (NLI) datasets have been shown to be tainted by hypothesis-only biases.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning · 2014
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning · 2015
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Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
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Explaining and Harnessing Adversarial Examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Earlier work this paper cites.
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, and Antoine Bordes · 2017
Earlier work this paper cites.
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith · 2017
Earlier work this paper cites.
Story Cloze Task: UW NLP System
Roy Schwartz, Maarten Sap, Ioannis Konstas, Leila Zilles, Yejin Choi, and Noah A. Smith · 2017
Earlier work this paper cites.
Controllable invariance through adversarial feature learning
Qizhe Xie, Zihang Dai, Yulun Du, Eduard Hovy, and Graham Neubig · 2017
Cited alongside, same era.
Generating Natural Language Adversarial Examples
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, and Kai-Wei Chang · 2018
Cited alongside, same era.
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov and Yonatan Bisk · 2018
Cited alongside, same era.
Multinomial adversarial networks for multi-domain text classification
Xilun Chen and Claire Cardie · 2018
Cited alongside, same era.
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni · 2018
Cited alongside, same era.
Adversarial Removal of Demographic Attributes from Text Data
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization
Sainandan Ramakrishnan, Aishwarya Agrawal, and Stefan Lee · 2018
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Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment
Masatoshi Tsuchiya · 2018
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Mitigating unwanted biases with adversarial learning
Brian Hu Zhang, Blake Lemoine, and Margaret Mitchell · 2018
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Kelly Zhang and Samuel Bowman · 2018
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Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects
Gabriel Grand and Yonatan Belinkov · 2019
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Yanai Elazar and Yoav Goldberg · 2018
Cited alongside, same era.
AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang, Tushar Khot, Ashish Sabharwal, and Eduard Hovy · 2018
Cited alongside, same era.
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini and Sebastian Riedel · 2018
Cited alongside, same era.
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, and Zhi Jin · 2022
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Hypothesis Only Baselines in Natural Language Inference
Adam Poliak, Jason Naradowsky, Aparajita Haldar, Rachel Rudinger, and Benjamin Van Durme · 2023
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