10 Facts About Entity linking

Entity linking is different from named-entity recognition in that NER identifies the occurrence of a named entity in text but it does not identify which specific entity it is .

The target knowledge base depends on the intended application, but for entity linking systems intended to work on open-domain text it is common to use knowledge-bases derived from Wikipedia .

Entity linking is a critical step to bridge web data with knowledge bases, which is beneficial for annotating the huge amount of raw and often noisy data on the Web and contributes to the vision of the Semantic Web.

Entity linking is beneficial in fields that need to extract abstract representations from text, as it happens in text analysis, recommender systems, semantic search and chatbots.

Many approaches orthogonal to entity linking exist to retrieve documents similar to an input document.

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An entity linking system has to deal with a number of challenges before being performant in real-life applications.

Entity linking is known as named-entity disambiguation, and is deeply connected to Wikification and record linkage.

Entity linking has been a hot topic in industry and academia for the last decade.

The final entity linking step is a collective disambiguation performed by comparing binary vectors obtained from hand-crafted features, and from each entity's context.

Cucerzan's entity linking system is still used as baseline for many recent works.