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gptkbp:instanceOf
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gptkb:model
|
|
gptkbp:application
|
information retrieval
machine translation
sentiment analysis
text classification
analogy tasks
semantic similarity
|
|
gptkbp:architecture
|
gptkb:CBOW
Skip-gram
|
|
gptkbp:author
|
gptkb:Greg_Corrado
gptkb:Kai_Chen
gptkb:Tomas_Mikolov
gptkb:Jeffrey_Dean
|
|
gptkbp:availableOn
|
gptkb:GitHub
|
|
gptkbp:citation
|
2013
over 30,000
|
|
gptkbp:developedBy
|
gptkb:Google
gptkb:Tomas_Mikolov
|
|
gptkbp:dimensionRange
|
50-300
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
word2vec
|
|
gptkbp:influenced
|
gptkb:ELMo
gptkb:GloVe
gptkb:fastText
|
|
gptkbp:input
|
gptkb:text
|
|
gptkbp:introducedIn
|
2013
|
|
gptkbp:language
|
gptkb:Python
gptkb:C++
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:lossFunction
|
hierarchical softmax
negative sampling
|
|
gptkbp:notablePublication
|
gptkb:Efficient_Estimation_of_Word_Representations_in_Vector_Space
|
|
gptkbp:openSource
|
yes
|
|
gptkbp:output
|
vector representations
|
|
gptkbp:relatedTo
|
deep learning
distributional semantics
vector space model
|
|
gptkbp:supportsAlgorithm
|
unsupervised learning
|
|
gptkbp:trainer
|
gptkb:Google_News_dataset
|
|
gptkbp:type
|
gptkb:convolutional_neural_network
|
|
gptkbp:usedFor
|
natural language processing
word embeddings
|
|
gptkbp:bfsParent
|
gptkb:Deeplearning4j
gptkb:Neural_Probabilistic_Language_Model
|
|
gptkbp:bfsLayer
|
5
|