BERT

BERT, developed by Google researchers in 2018, is a bidirectional transformer model that revolutionized NLP by understanding context from both directions in text.

Two-hop subgraph: this entity, every entity it directly relates to, and every entity those neighbors relate to. Drag a node, scroll to zoom, click to inspect — or click any neighbor and re-center the atlas there.