This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …

More than 50 000 papers have been published about COVID-19 since the beginning of
2020 and several hundred new papers continue to be published every day. This incredible …

To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant
biomedical knowledge in scientific literature to understand the disease mechanism and …

Sources of commonsense knowledge support applications in natural language
understanding, computer vision, and knowledge graphs. Given their complementarity, their …

Wikidata has been increasingly adopted by many communities for a wide variety of
applications, which demand high-quality knowledge to deliver successful results. In this …

An interesting application for social robots is to act as a presenter, for example as a museum
guide. In this paper, we present a fully automated system architecture for building adaptive …

Abstract Internet Memes (IMs) are creative media that combine text and vision modalities
that people use to describe their situation by reusing an existing, familiar situation. Prior …

The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …

In this short position paper, we argue that there is a need for a unifying data model that can
support popular graph formats such as RDF, RDF* and property graphs, while at the same …

Abstract Knowledge graphs have been widely adopted across organizations and research
domains, fueling applications that span interactive browsing to large-scale analysis and data …