LIREx: Augmenting Language Inference with Relevant Explanation

Explain yourself! leveraging language models for commonsense reasoning

Original

Rajani, N. F.; McCann, B.; Xiong, C.; and Socher, R. 2019 · 1906

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Roberta: A robustly optimized bert pretraining approach

Original

Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019 · 1907

Earlier work this paper cites.

Semantics-aware bert for language understanding

Original

Zhang, Z.; Wu, Y.; Zhao, H.; Li, Z.; Zhang, S.; Zhou, X.; and Zhou, X. 2019 · 1909

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Eraser: A benchmark to evaluate rationalized nlp models

Original

DeYoung, J.; Jain, S.; Rajani, N. F.; Lehman, E.; Xiong, C.; Socher, R.; and Wallace, B. C. 2019 · 1911

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LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation

Original

Lee, D.-H.; Khanna, R.; Lin, B. Y.; Chen, J.; Lee, S.; Ye, Q.; Boschee, E.; Neves, L.; and Ren, X. 2020 · 2004

Earlier work this paper cites.

NILE: Natural Language Inference with Faithful Natural Language Explanations

Original

Kumar, S.; and Talukdar, P. 2020 · 2005

Earlier work this paper cites.

A large annotated corpus for learning natural language inference

Original

Bowman, S. R.; Angeli, G.; Potts, C.; and Manning, C. D. 2015 · 2015

Earlier work this paper cites.

Learning through dialogue interactions by asking questions

Original

Li, J.; Miller, A. H.; Chopra, S.; Ranzato, M.; and Weston, J. 2016 · 2016

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Learning the structure of generative models without labeled data

Bach, S. H.; He, B.; Ratner, A.; and Ré, C. 2017 · 2017

Cited alongside, same era.

Teaching machines to describe images with natural language feedback

Fidler, S.; et al. 2017 · 2017

Cited alongside, same era.

Swellshark: A generative model for biomedical named entity recognition without labeled data

Original

Fries, J.; Wu, S.; Ratner, A.; and Ré, C. 2017 · 2017

Cited alongside, same era.

Joint concept learning and semantic parsing from natural language explanations

Srivastava, S.; Labutov, I.; and Mitchell, T. 2017 · 2017

Cited alongside, same era.

Naturalizing a programming language via interactive learning

Original

Wang, S. I.; Ginn, S.; Liang, P.; and Manning, C. D. 2017 · 2017

Cited alongside, same era.

Multimodal explanations: Justifying decisions and pointing to the evidence

Huk Park, D.; Anne Hendricks, L.; Akata, Z.; Rohrbach, A.; Schiele, B.; Darrell, T.; and Rohrbach, M. 2018 · 2018

Later among the works it cites.

Textual explanations for self-driving vehicles

Kim, J.; Rohrbach, A.; Darrell, T.; Canny, J.; and Akata, Z. 2018 · 2018

Later among the works it cites.

Language models are unsupervised multitask learners

Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019

Later among the works it cites.

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations

Camburu, O.-M.; Shillingford, B.; Minervini, P.; Lukasiewicz, T.; and Blunsom, P. 2020 · 2020

Closest in time.

Learning from explanations with neural module execution tree

Qin, Y.; Wang, Z.; Zhou, W.; Yan, J.; Ye, Q.; Ren, X.; Neves, L.; and Liu, Z. 2020 · 2020

Closest in time.

Snorkel: Rapid training data creation with weak supervision