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Attention mechanisms have recently boosted performance on a range of NLP tasks.
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Andrew Slavin Ross, Michael C. Hughes, and Finale Doshi-Velez. 2017 · 2017
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SPINE: Sparse interpretable neural embeddings
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Satirical news detection and analysis using attention mechanism and linguistic features
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Understanding black-box predictions via influence functions
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Fan Yang, Arjun Mukherjee, and Eduard Dragut. 2017 · 2017
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Sanity checks for saliency maps
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, and Been Kim. 2018 · 2018
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Pathologies of neural models make interpretation difficult
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Interpreting recurrent and attention-based neural models: a case study on natural language inference
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Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation
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Towards robust interpretability with self-explaining neural networks
David Alvarez Melis and Tommi Jaakkola. 2018 · 2018
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Attention is not Explanation
Sarthak Jain and Byron C. Wallace. 2019 · 2019
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