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