In the Digital Humanities (DH), linking text collections to general or domain-specific
knowledge bases (KBs) or authority files is important to enable a contextualised analysis …

Abstract The evaluation of Named Entity Recognition as well as Entity Linking systems is
mostly based on manually created gold standards. However, the current gold standards …

The systematic linking of explicitly-observed phrases within a document to entities of a
knowledge base has already been explored in a process known as entity linking. The …

Linking named mentions detected in a source document to an existing knowledge base
provides disambiguated entity referents for the mentions. This allows better document …

The extraction of mentions of research artefacts from scientific papers is a necessary
precursor for multiple applications ranging from simple search for literature based on …

Entity linking is a core task in textual document processing, which consists in identifying the
entities of a knowledge base (KB) that are mentioned in a text. Approaches in the literature …

The ability to compare systems from the same domain is of central importance for their
introduction into complex applications. In the domains of named entity recognition and entity …

Semantic representation of unstructured text is crucial in modern artificial intelligence and
information retrieval applications. The semantic information extraction process from an …

Scientific research teams have immense valuable knowledge that need to be managed.
Organizing scientific contributions of team members constitutes a major challenge for the …

Many universities adopt educational systems where the teacher lecture is video recorded
and the video lecture is made available to students with minimum post-processing effort …