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 …

Collective entity linking is a core natural language processing task, which consists in jointly
identifying the entities of a knowledge base (KB) that are mentioned in a text exploiting …

More and more knowledge bases are publicly available as linked data. Since these
knowledge bases contain structured descriptions of real-world entities, they can be exploited …

We address the task of entity linking to multiple knowledge bases (KB). In particular, we
investigate the use of over one thousand domain-specific KBs derived from Wikia. com …

Entity Linking is the task of assigning entities from a Knowledge Base to textual mentions of
such entities in a document. State-of-the-art approaches rely on lexical and statistical …

Four main challenges can cause numerous difficulties when developing an entity linking
system: i) the kind of textual documents to annotate (such as social media posts, video …

Abstract The Entity Linking (EL) task involves linking mentions of entities in a text with their
identifier in a Knowledge Base (KB) such as Wikipedia, BabelNet, DBpedia, Freebase …

Integrating the extracted facts with an existing knowledge base has raised an urgent need to
address the problem of entity linking. Specifically, entity linking is the task to link the entity …

Entity linking refers entity mentions in a document to their representations in a knowledge
base (KB). In this paper, we propose to use additional information sources from Wikipedia to …

Entity Linking (EL) consists of determinating the entities that best represent the mentions in a
document. Mentions can be very ambiguous and can refer to different entities in different …