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A fundamental goal of scientific research is to learn about causal relationships.
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Attention-based LSTM for aspect-level sentiment classification
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Towards a critical race methodology in algorithmic fairness
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Alon Jacovi and Yoav Goldberg. 2020 · 2020
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Text and causal inference: A review of using text to remove confounding from causal estimates
Katherine Keith, David Jensen, and Brendan O’Connor. 2020 · 2020
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Avoiding discrimination through causal reasoning
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Counterfactual fairness
Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva. 2017 · 2017
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A unified approach to interpreting model predictions
Scott M Lundberg and Su-In Lee. 2017 · 2017
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Predicting sales from the language of product descriptions
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FOIL it! find one mismatch between image and language caption
Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, and Raffaella Bernardi. 2017 · 2017
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Counterfactual explanations without opening the black box: Automated decisions and the gdpr
Sandra Wachter, Brent Mittelstadt, and Chris Russell. 2017 · 2017
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Explaining machine learning classifiers through diverse counterfactual explanations
Ramaravind K Mothilal, Amit Sharma, and Chenhao Tan. 2020 · 2020
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Matching with text data: An experimental evaluation of methods for matching documents and of measuring match quality
Reagan Mozer, Luke Miratrix, Aaron Russell Kaufman, and L Jason Anastasopoulos. 2020 · 2020
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Deep neural networks detect suicide risk from textual facebook posts
Yaakov Ophir, Refael Tikochinski, Christa SC Asterhan, Itay Sisso, and Roi Reichart. 2020 · 2020
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Beyond accuracy: Behavioral testing of NLP models with CheckList
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, and Sameer Singh. 2020 · 2020
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Adjusting for confounding with text matching
Margaret E Roberts, Brandon M Stewart, and Richard A Nielsen. 2020 · 2020
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Fragile masculinity: Men, gender, and online harassment
Jennifer D Rubin, Lindsay Blackwell, and Terri D Conley. 2020 · 2020
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Adapting text embeddings for causal inference
Victor Veitch, Dhanya Sridhar, and David M Blei. 2020 · 2020
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Investigating gender bias in language models using causal mediation analysis
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, and Stuart M. Shieber. 2020 · 2020
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Quantifying the causal effects of conversational tendencies
Justine Zhang, Sendhil Mullainathan, and Cristian Danescu-Niculescu-Mizil. 2020 · 2020
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Amnesic probing: Behavioral explanation with amnesic counterfactuals
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