Wikipedia is the world's largest online encyclopedia, but maintaining article quality through
collaboration is challenging. Wikipedia designed a quality scale, but with such a manual …

Search engine plays a crucial role in satisfying users' diverse information needs. Recently,
Pretrained Language Models (PLMs) based text ranking models have achieved huge …

Automatic assessment of the quality of scholarly documents is a difficult task with high
potential impact. Multimodality, in particular the addition of visual information next to text, has …

Advances in data science have made it possible to solve many real-life problems using
automatic text classification applications. This is the case in e-recruitment, where job offers …

We explore how to capture the significance of a sub-text block in an article and how it may
be used for text mining tasks. A sub-text block is a sub-sequence of sentences in the article …

Partiendo de la dimensión enciclopédica de Wikipedia—marcada por la amplitud, variedad
y ordenación sistemática de sus contenidos—, esta investigación busca identificar los …

In recent years, scholarly databases have made many scientific papers available on the
Internet. While these databases facilitate access to excellent papers, they also increase the …

Automatic assessment of the quality of scholarly documents is a difficult task with high
potential impact. Multimodality, in particular the addition of visual information next to text, has …

Paper quality evaluation is of great significance as it helps to select high quality papers from
the massive amount of academic papers. However, existing models needs improvement on …