The current trend of scaling language models involves increasing both
pa...
Relation Extraction (RE) remains a challenging task, especially when
con...
Most research in Relation Extraction (RE) involves the English language,...
In recent years, several methods have been proposed for explaining indiv...
In this paper, we present a quantitative evaluation of differences betwe...
Essays as a form of assessment test student knowledge on a deeper level ...
We explore cross-lingual transfer of register classification for web
doc...
Language models based on deep neural networks have facilitated great adv...
Large-scale pretrained language models have become ubiquitous in Natural...
Named entity recognition (NER) is frequently addressed as a sequence
cla...
Deep neural language models such as BERT have enabled substantial recent...
Universal Dependencies is an open community effort to create
cross-lingu...
Deep learning-based language models pretrained on large unannotated text...
Sequence labeling architectures use word embeddings for capturing simila...