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 …

Named Entity Linking (nel) grounds entity mentions to their corresponding node in a
Knowledge Base (kb). Recently, a number of systems have been proposed for linking entity …

In this paper, we formalize the task of finding a knowledge base entry that a given named
entity mention refers to, namely entity linking, by identifying the most “important” node …

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 …

In this paper, we propose CHOLAN, a modular approach to target end-to-end entity linking
(EL) over knowledge bases. CHOLAN consists of a pipeline of two transformer-based …

Entity linking is a task to extract query mentions in documents, and then link them to their
corresponding entities in a knowledge base. It can improve the performances of knowledge …

The large number of potential applications from bridging web data with knowledge bases
have led to an increase in the entity linking research. Entity linking is the task to link entity …

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 …

Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity
mentions in a document to their correct references in a knowledge base (KB)(eg, Wikipedia) …

Named entity disambiguation is the task of disambiguating named entity mentions in natural
language text and link them to their corresponding entries in a knowledge base such as …