2013 AD
Word2vec and word representations
Artificial intelligence · Language
Tomas Mikolov and colleagues introduced efficient methods for learning word-vector representations from large corpora. These representations helped transfer linguistic regularities across tasks, without by themselves amounting to understanding.
Precision, calendar, and review
- Start
- year · no uncertainty qualifier in this record
- Calendar and convention
- Historical-era years; the source calendar is not identified. No conversion of days is assumed.
- Year zero
- The scale goes from 1 BCE to 1 CE without year zero. Changing era names changes labels only.
- Documentary review
- 2026-09-20
Reading the date: point event.
Sources
- arxiv.org (opens in a new tab)
Source provenance and scope
- Publication date
- 2013-01-16
- What this date describes
- The cited source or edition; it may postdate the historical event.
- Date note
- Date of the first arXiv preprint version; later revisions may exist.
- Bibliographic date checked
- 2026-09-23
- Date evidence
- Declared in the cited source’s publisher metadata.
- Access date
- 2026-09-20
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