The task of entity linking aims to map the entity reference in the text with the unambiguous
entity in the knowledge base. However, under the background of the continuous growth of …

Entity linking (EL) is a fundamental task in natural language processing. Based on neural
networks, existing systems pay more attention to the construction of the global model, but …

Entity linking refers to linking a string in a text to corresponding entities in a knowledge base
through candidate entity generation and candidate entity ranking. It is of great significance to …

Entity linking is a task of linking mentions in text to the corresponding entities in a knowledge
base. Recently, entity linking has received considerable attention and several online entity …

Entity linking (EL) is the process of linking entity mentions appearing in text with their
corresponding entities in a knowledge base. EL features of entities (eg, prior probability …

Entity linking (EL) is the task of automatically identifying entity mentions in text and resolving
them to a corresponding entity in a reference knowledge base like Wikipedia. Throughout …

Entity linking is the process of linking entity mentions in text with the unambiguous entity
objects in a knowledge base. The technology is a key step of expanding a knowledge base …

Entity linking has an important basic research value for Natural Language Processing, the
task of which is to link different entity mentions in the given text with their referent entities in a …

Entity Linking (EL) aims to automatically link the mentions in unstructured documents to
corresponding entities in a knowledge base (KB), which has recently been dominated by …

Entity linking (EL) systems aim to link entity mentions in the document to their corresponding
entity records in a reference knowledge base. Existing EL approaches usually ignore the …