3 citations · 3 across the 2 of their papers we have counts for
4 papers
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…
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…
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…
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…