2 papers by CopeNLU authors are accepted to appear at EMNLP 2022, which are on scholarly document understanding.
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein.
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm.