When data permutations are pathological: the case of neural natural language inference. - Natalie Schluter; Daniel Varab (EMNLP, 2018)

UniParse: A universal graph-based parsing toolkit. - Daniel Varab; Natalie Schluter (NODALIDA, 2019)

DaNewsroom: A Large-scale Danish Summarisation Dataset. - Daniel Varab; Natalie Schluter (LREC, 2020)

The Danish Gigaword Project. - Leon Derczynski; Rebekah Baglini; Morten H. Christiansen; Manuel R. Ciosici; Jacob Aarup Dalsgaard; Riccardo Fusaroli; Peter Juel Henrichsen; Rasmus Hvingelby; Andreas Kirkedal; Alex Speed Kjeldsen; Claus Ladefoged; Finn Årup Nielsen; et al. (CoRR, 2020)

MassiveSumm: a very large-scale, very multilingual, news summarisation dataset. - Daniel Varab; Natalie Schluter (EMNLP (1), 2021)

The Danish Gigaword Corpus. - Leon Derczynski; Manuel R. Ciosici; Rebekah Baglini; Morten H. Christiansen; Jacob Aarup Dalsgaard; Riccardo Fusaroli; Peter Juel Henrichsen; Rasmus Hvingelby; Andreas Kirkedal; Alex Speed Kjeldsen; Claus Ladefoged; Finn Årup Nielsen; et al. (NoDaLiDa, 2021)

Experimental Standards for Deep Learning in Natural Language Processing Research. - Dennis Ulmer; Elisa Bassignana; Max Müller-Eberstein; Daniel Varab; Mike Zhang; Rob van der Goot; Christian Hardmeier; Barbara Plank (EMNLP (Findings), 2022)

Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective. - Dennis Ulmer; Elisa Bassignana; Max Müller-Eberstein; Daniel Varab; Mike Zhang; Christian Hardmeier; Barbara Plank (CoRR, 2022)

Abstractive Summarizers are Excellent Extractive Summarizers. - Daniel Varab; Yumo Xu (ACL (2), 2023)

With Good MT There is No Need For End-to-End: A Case for Translate-then-Summarize Cross-lingual Summarization. - Daniel Varab; Christian Hardmeier (CoRR, 2024)