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 involves mapping ambiguous mentions in documents to the correct entities in a
given knowledge base. Most of the current methods are a combination of local and global …

This paper addresses the challenging information extraction problem of linking named
entities in text to entries in a knowledge base. Our approach uses supervised learning to (a) …

Entity linking-connecting entity mentions in a natural language utterance to knowledge
graph (KG) entities is a crucial step for question answering over KGs. It is often based on …

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 …

With recent advances in the areas of knowledge engineering and information extraction, the
task of linking textual mentions of named entities to corresponding ones in a knowledge …

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 …

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 …

This paper address the problem of entity linking. Specifically, given an entity mentioned in
unstructured texts, the task is to link this entity with an entry stored in the existing knowledge …

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 …