Most Transformer language models are primarily pretrained on English tex...
The increasingly rapid spread of information about COVID-19 on the web c...
Document embeddings and similarity measures underpin content-based
recom...
Transformer-based language models usually treat texts as linear sequence...
Learning scientific document representations can be substantially improv...
Recommender systems assist legal professionals in finding relevant liter...
Traditional document similarity measures provide a coarse-grained distin...
In all domains and sectors, the demand for intelligent systems to suppor...
Previous work of ours on Semantic Storytelling uses text analytics proce...
The annotation of textual information is a fundamental activity in
Lingu...
With regard to the wider area of AI/LT platform interoperability, we
con...
We present a workflow manager for the flexible creation and customisatio...
Multilingualism is a cultural cornerstone of Europe and firmly anchored ...
With 24 official EU and many additional languages, multilingualism in Eu...
The current scientific and technological landscape is characterised by t...
We present a new corpus comprising annotations of medical entities in ca...
We explore to what extent knowledge about the pre-trained language model...
We describe a dataset developed for Named Entity Recognition in German
f...
Legal technology is currently receiving a lot of attention from various
...
Many digital libraries recommend literature to their users considering t...
In this paper, we focus on the classification of books using short
descr...