Isabelle Augenstein

emoji2vec: Learning Emoji Representations from their Description

Ben Eisner, Tim Rocktäschel, Isabelle Augenstein et al. · 2016 · 250 citations · Full text

Emojis, Engineering, Machine Learning +19

A simple but tough-to-beat baseline for the Fake News Challenge stance detection task

Benjamin Riedel, Isabelle Augenstein, Georgios Spithourakis et al. · arXiv (Cornell University) · 2017 · 205 citations · Full text

Fake News, Engineering, Tough-to-beat Baseline +19

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib et al. · Information Fusion · 2021 · 202 citations · Full text

Artificial Intelligence, Biomedical Artificial Intelligence, Medical Artificial Intelligence +15

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

Isabelle Augenstein, Christina Lioma, Dongsheng Wang et al. · 2019 · 184 citations · Full text

Engineering, Verification, Large-scale Datasets +24

A Diagnostic Study of Explainability Techniques for Text Classification

Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma et al. · 2020 · 156 citations · Full text

Structured Prediction, Model Architectures, Engineering +20