Continuous Bag of Words (CBOW)
GPTKB entity
Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
word embedding model |
| gptkbp:application |
gptkb:machine_learning
natural language processing semantic similarity |
| gptkbp:citation |
high
|
| gptkbp:developedBy |
gptkb:Google
gptkb:Tomas_Mikolov |
| gptkbp:feature |
unsupervised learning
hierarchical softmax negative sampling distributed representations efficient training context window shallow neural network embedding vectors |
| https://www.w3.org/2000/01/rdf-schema#label |
Continuous Bag of Words (CBOW)
|
| gptkbp:input |
context words
|
| gptkbp:introducedIn |
2013
|
| gptkbp:language |
gptkb:Python
gptkb:C++ |
| gptkbp:openSource |
true
|
| gptkbp:output |
target word
|
| gptkbp:publishedIn |
gptkb:Efficient_Estimation_of_Word_Representations_in_Vector_Space
|
| gptkbp:relatedTo |
Skip-gram
|
| gptkbp:trainingObjective |
predict target word from context
|
| gptkbp:usedIn |
gptkb:Word2Vec
|
| gptkbp:bfsParent |
gptkb:Word2Vec
|
| gptkbp:bfsLayer |
7
|