activity
20182026
most citedThe Danish Gigaword Project

6 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Symphony for Text Generation: Benchmarking Clinical Note Generation

Daniel Varab, Victor Petrén Bach Hansen, Asbjørn W. Helge +8

Ambient documentation systems are rapidly gaining adoption, yet their impact on clinical note quality remains poorly characterized. We introduce MedConv, a multilingual dataset of…

cs.CL2024

With Good MT There is No Need For End-to-End: A Case for Translate-then-Summarize Cross-lingual Summarization

Daniel Varab, Christian Hardmeier

Recent work has suggested that end-to-end system designs for cross-lingual summarization are competitive solutions that perform on par or even better than traditional pipelined des…

cs.LG2022★ 3 cited

Experimental Standards for Deep Learning in Natural Language Processing Research

Dennis Ulmer, Elisa Bassignana, Max Müller-Eberstein +5

The field of Deep Learning (DL) has undergone explosive growth during the last decade, with a substantial impact on Natural Language Processing (NLP) as well. Yet, compared to more…

cs.CL2020★ 6 cited

The Danish Gigaword Project

Leon Strømberg-Derczynski, Manuel R. Ciosici, Rebekah Baglini +12

Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a f…

cs.CL2018★ 3 cited

UniParse: A universal graph-based parsing toolkit

Daniel Varab, Natalie Schluter

This paper describes the design and use of the graph-based parsing framework and toolkit UniParse, released as an open-source python software package. UniParse as a framework novel…