Historical milestone · 2013
Efficient estimation of word representations in vector space
Reviewed through September 18, 2026
2013 · Historical milestone
Efficient estimation of word representations in vector space
- Era
- 2010s
- Theme
- Language models & representation
- Evidence form
- Model + corpus experiment
- School / paradigm
- Distributional semantics / neural language modeling
- Institution / context
- Researchers
- Tomas Mikolov; Kai Chen; Greg Corrado; Jeffrey Dean
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Trained continuous bag-of-words and skip-gram models efficiently on very large text corpora.
Result / historical claim. Scaled useful distributed word representations and demonstrated semantic and syntactic regularities in vector space.
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Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. Model + corpus experiment
Limitation / debate. A single static vector conflates word senses and cannot adapt representation to sentence context.
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