Visualizing and examining the intellectual landscape and evolution of scientific communities
to support collaboration is crucial for multiple research purposes. In some cases, measuring …

Understanding the intellectual landscape of scientific communities and their collaborations
has become an indispensable part of research per se. In this regard, measuring similarities …

Despite decades of research and development in named entity resolution, dealing with
name ambiguity is still a challenging issue for many bibliometric-enhanced information …

Finding related published articles is an important task in any science, but with the explosion
of new work in the biomedical domain it has become especially challenging. Most existing …

Abstract Natural Language Processing (NLP) techniques have enabled automated analysis
over a large collection of documents, which makes it possible to quantitatively compare …

Building on more than one million crowdsourced annotations that we publicly release, we
propose a new automated disambiguation solution exploiting this data (i) to learn an …

Recently, the Allen Institute for Artificial Intelligence released the Semantic Scholar Open
Research Corpus (S2ORC), one of the largest open-access scholarly big datasets with more …

With the rapid development of Internet technology and academic social media, it has
become one of the important research directions of social networks to measure the similarity …

Members of the academic community have increasingly turned to digital libraries to search
for the latest work of their peers. On account of their role in the academic community, it is …

When quantifying the level of interdisciplinarity for scientific research, most established
indicators employ a three‐element diversity framework, namely variety, balance, and …