Claim · 2018-10-11 · publication · Stated in source · Supported

The paper introduces a language representation model called BERT (Bidirectional Encoder Representations from Transformers).

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What it connects

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding → states its contribution → The paper introduces a language representation model called BERT (Bidirectional Encoder Representations from Transformers).

Where it appears

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Claim and evidence

BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingstates its contribution ↓The paper introduces a language representation model called BERT (Bidirectional Encoder Representations from Transformers).

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2018-10-11 · publication Records dated 2018 →

Scope and limitsThe paper's own description of its contribution; not an assessment of it.

The evidence 01

primary sourceSupports the claim

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

arXiv · 2018-10-11

Cite the original source

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Source excerpt

“We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers.”

Location in source arXiv v1, PDF p. 1, abstract

Machine-checked · 2026-10-31

Source details and check notes

Authors: Jacob Devlin; Ming-Wei Chang; Kenton Lee; Kristina Toutanova
Version: arXiv:1810.04805v1, submitted 11 October 2018 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 58534a3c000cbcc60ed64e999a2d9ed839edc2d9894e4449e9d79e1118b5e5ba). The author list is the byline as printed on the first page.
Version date: 2018-10-11
Canonical address: Open the canonical source ↗
Accessed: 2026-10-28
Language: English (en)
Attribution: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”, 2018-10-11.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, key papers (research/key-papers). The quotation (17 words) matched the text retrieved for the candidate pack on 2026-10-28 (research/key-papers/verification.json). Matching ignored differences of whitespace, case, quotation marks, dashes and line-break hyphens, so the source’s typography can differ. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A paper or other publication describes its own contribution, quoted from the expression the record names, usually its abstract or introduction. The record is the document’s own description, not an assessment: a claim of priority or novelty it contains is the document’s claim, flagged as such, and says nothing about earlier or later work.

Date. Date of the arXiv version quoted, submitted 11 October 2018 (UTC); later versions may word it differently.

Record ID kp-states-bert-pre-training-deep-bidirectional-2019-1