1 code implementation • LREC (LAW) 2022 • Terne Sasha Thorn Jakobsen, Maria Barrett, Anders Søgaard, David Lassen
NLP models are dependent on the data they are trained on, including how this data is annotated.
no code implementations • 1 Jun 2023 • Terne Sasha Thorn Jakobsen, Laura Cabello, Anders Søgaard
Explainability methods are used to benchmark the extent to which model predictions align with human rationales i. e., are 'right for the right reasons'.
1 code implementation • NAACL 2022 • Terne Sasha Thorn Jakobsen, Anna Rogers
Both scientific progress and individual researcher careers depend on the quality of peer review, which in turn depends on paper-reviewer matching.
1 code implementation • Joint Conference on Lexical and Computational Semantics 2021 • Terne Sasha Thorn Jakobsen, Maria Barrett, Anders S{\o}gaard
Recent work in cross-topic argument mining attempts to learn models that generalise across topics rather than merely relying on within-topic spurious correlations.