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Found 7 papers, 4 papers with code
MassiveSumm: a very large-scale, very multilingual, news summarisation dataset
We present the first investigation on the efficacy of resource building from news platforms in the low-resource language setting.
The Danish Gigaword Corpus
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers.
Experimental Standards for Deep Learning in Natural Language Processing Research
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.
The Danish Gigaword Project
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers.
DaNewsroom: A Large-scale Danish Summarisation Dataset
To support the comparison of future automatic summarisation systems for Danish, we include system performance on this dataset of strong well-established unsupervised baseline systems, together with an oracle extractive summariser, which is the first account of automatic summarisation system performance for Danish.
When data permutations are pathological: the case of neural natural language inference
Consider two competitive machine learning models, one of which was considered state-of-the art, and the other a competitive baseline.
UniParse: A universal graph-based parsing toolkit
This paper describes the design and use of the graph-based parsing framework and toolkit UniParse, released as an open-source python software package.
