Word Embedding
nounid
5161·updated Aug 28, 2026verified
a popular framework to represent text data as vectors which has been used in many machine learning and natural language processing tasks. . . . A word embedding, trained on word co-occurrence in text corpora, represents each word (or common phrase) w as a d-dimensional word vector w~ 2 Rd. It serves as a dictionary of sorts for computer programs that would like to use word meaning. First, words with similar semantic meanings tend to have vectors that are close together. Second, the vector differences between words in embeddings have been shown to represent relationships between words.
MWE
Attested in
No recorded attestations. They are written when an MWE tagging stage is completed, stamped with the pack version and the document’s digest.
Classifications
Entity Type
Artifact100%manual revieweval-seeds-v0.3-2026-05-14
Sensitivity
unclassified
Information Class
unclassified
Variants
- plural
- Word Embeddings
- possessive
- Word Embedding's
- pluralpossessive
- Word Embeddings'
Framework definitions
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1 senseview framework →
- §1
- a popular framework to represent text data as vectors which has been used in many machine learning and natural language processing tasks. . . . A word embedding, trained on word co-occurrence in text corpora, represents each word (or common phrase) w as a d-dimensional word vector w~ 2 Rd. It serves as a dictionary of sorts for computer programs that would like to use word meaning. First, words with similar semantic meanings tend to have vectors that are close together. Second, the vector differences between words in embeddings have been shown to represent relationships between words.
- §1 · legacy_primary
- a popular framework to represent text data as vectors which has been used in many machine learning and natural language processing tasks. . . . A word embedding, trained on word co-occurrence in text corpora, represents each word (or common phrase) w as a d-dimensional word vector w~ 2 Rd. It serves as a dictionary of sorts for computer programs that would like to use word meaning. First, words with similar semantic meanings tend to have vectors that are close together. Second, the vector differences between words in embeddings have been shown to represent relationships between words.DR-088 backfill from the noun definition column
Outgoing relationships
No outgoing triples
This term is not the subject of any RDF-style relationship yet.
Incoming relationships
No incoming triples
No other term currently asserts a relationship to this one.