Daniel Varab

According to our database, Daniel Varab authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Abstractive Summarizers are Excellent Extractive Summarizers.

Daniel Varab, Yumo Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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, Jens Madsen, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab

Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

MassiveSumm: a very large-scale, very multilingual, news summarisation dataset.

Daniel Varab, Natalie Schluter

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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, Malte Lau Petersen, Jonathan Hvithamar Rystrøm, Daniel Varab

CoRR, 2020

DaNewsroom: A Large-scale Danish Summarisation Dataset.

Daniel Varab, Natalie Schluter

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

UniParse: A universal graph-based parsing toolkit.

Daniel Varab, Natalie Schluter

Proceedings of the 22nd Nordic Conference on Computational Linguistics, NoDaLiDa 2019, Turku, Finland, September 30, 2019

2018

When data permutations are pathological: the case of neural natural language inference.

Natalie Schluter, Daniel Varab

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018