BLINK is an Entity Linking model released by Facebook that uses Wikipedia as the target knowledge base. The process of linking entities to Wikipedia is also known as Wikification.
In a nutshell, BLINK uses a two stages approach for entity linking, based on fine-tuned BERT architectures. In the first stage, BLINK performs retrieval in a dense space defined by a bi-encoder that independently embeds the mention context and the entity descriptions. Each candidate is then examined more carefully with a cross-encoder, that concatenates the mention and entity text. BLINK achieves state-of-the-art results on multiple datasets.
The BLINK knowledge base (entity library) is based on the 2019/08/01 Wikipedia dump, so the target entities are Wikipedia entities or articles.
Index to use to perform the entity linking. One of: - BlinkIndex.FLAT - BlinkIndex.HNSW
Get list of entities
Get the Wikipedia ID from the label predicted
Download Blink files