Construct · 1 fields · 1 citations

BERT: a standalone construct

One name. One construct. A landmark on the map.

● anchor · a standalone construct Nearest construct by meaning·not indexed
BERT1 CONSTRUCTBert (Natural)DEVLIN · NATURAL LANGUAGE

A single standalone construct; nearby constructs are located against it in the Collider. Tap a field for its definition, unit, and measures.

Natural language processing

a language representation model pretrained with masked word prediction on both left and right context, then fine-tuned for tasks.

In natural language processing, BERT refers to a language representation model pretrained with masked word prediction on both left and right context, then fine-tuned for tasks. This meaning comes from Devlin (2019) in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers).[1]

Unit
Recovery means
Measured by

Next

Run it through the Collider, or take the citations with you.

See how BERT sits against neighbouring constructs in the Collider, or export every reference on this page in one click.

Open in ColliderExport BibTeXReport this entry

Nearby constructs

association4 fields · 4 citationsjingle · one word, four constructscloze2 fields · 2 citationsinvariant · one construct, two systemscontext4 fields · 7 citationsjingle · one word, four constructs

References

  1. Devlin, J., Chang, M., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). https://doi.org/10.18653/v1/n19-1423

Cited on this page?

Confirm your construct, or correct us.

If your work is cited behind one of these entries, you know better than we do whether we captured the meaning right. Confirm it, suggest an edit, or dispute it, and your name goes on the entry as an author who has checked it, linked to your ORCID.

Claim your construct