62 citations · 199 across the 49 of their papers we have counts for
5 papers · 1 filter
Longitudinal Citation Prediction using Temporal Graph Neural Networks
Andreas Nugaard Holm, Barbara Plank, Dustin Wright +1
Citation count prediction is the task of predicting the number of citations a paper has gained after a period of time. Prior work viewed this as a static prediction task. As papers…
Neural Unsupervised Domain Adaptation in NLP---A Survey
Alan Ramponi, Barbara Plank
Deep neural networks excel at learning from labeled data and achieve state-of-the-art resultson a wide array of Natural Language Processing tasks. In contrast, learning from unlabe…
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP
Rob van der Goot, Ahmet Üstün, Alan Ramponi +2
Transfer learning, particularly approaches that combine multi-task learning with pre-trained contextualized embeddings and fine-tuning, have advanced the field of Natural Language…
FT Speech: Danish Parliament Speech Corpus
Andreas Kirkedal, Marija Stepanović, Barbara Plank
This paper introduces FT Speech, a new speech corpus created from the recorded meetings of the Danish Parliament, otherwise known as the Folketing (FT). The corpus contains over 1,…
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish
Barbara Plank
Named Entity Recognition (NER) has greatly advanced by the introduction of deep neural architectures. However, the success of these methods depends on large amounts of training dat…