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Invariant and Transportable Representations for Anti-Causal Domain Shifts
Building explainability into the components of machine-learning models
Fairness-aware Model-agnostic Positive and Unlabeled Learning
Open Language Learning for Information Extraction
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing
Robots play with play dough
The Values Encoded in Machine Learning Research
Three Generative, Lexicalised Models for Statistical Parsing
The Fallacy of AI Functionality
Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat
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