{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/kb-2026-00003",
  "headline": "BERT (Bidirectional Encoder Representations from Transformers)",
  "description": "BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained language model introduced by Google in 2018 that revolutionized NLP by reading text bidirectionally — considering both left and right context simultaneously. It achieved state-of-the-art results on 11 NLP benchmarks at launch, including GLUE (80.5% → 82.1% absolute improvement), SQuAD v1.1, and SWAG.",
  "dateCreated": "2026-05-22T06:56:55.713Z",
  "dateModified": "2026-05-22T06:56:55.713Z",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": []
}