Augenstein, Isabelle

10 publications

AAAI 2023 A Latent-Variable Model for Intrinsic Probing Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein

NeurIPS 2023 Adapting Neural Link Predictors for Data-Efficient Complex Query Answering Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein

AAAI 2022 Diagnostics-Guided Explanation Generation Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein

AAAI 2022 Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein

AAAI 2022 Longitudinal Citation Prediction Using Temporal Graph Neural Networks Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein

NeurIPS 2022 TempEL: Linking Dynamically Evolving and Newly Emerging Entities Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein

IJCAI 2021 Multi-Hop Fact Checking of Political Claims Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein

AAAI 2020 Back to the Future - Temporal Adaptation of Text Representations Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein

UAI 2020 TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein

AAAI 2019 Latent Multi-Task Architecture Learning Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard