Properties (57)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
word embedding model
|
| gptkbp:availableIn |
GitHub
|
| gptkbp:basedOn |
skip-gram model
CBOW_model |
| gptkbp:competesWith |
BERT
Word2Vec GloVe |
| gptkbp:developedBy |
gptkb:Facebook_AI_Research
|
| gptkbp:energyEfficiency |
real-time applications
|
| gptkbp:hasOccupation |
true
|
| gptkbp:hasRelatedPatent |
machine learning
natural language processing information retrieval recommendation systems |
| https://www.w3.org/2000/01/rdf-schema#label |
FastText
|
| gptkbp:isAvailableIn |
Linux
Windows macOS |
| gptkbp:isCompatibleWith |
gptkb:PyTorch
gptkb:Keras TensorFlow |
| gptkbp:isConsidered |
state-of-the-art model
|
| gptkbp:isCounteredBy |
custom datasets
|
| gptkbp:isDocumentedIn |
official documentation
|
| gptkbp:isEvaluatedBy |
benchmark datasets
standard metrics |
| gptkbp:isFacilitatedBy |
out-of-vocabulary words
|
| gptkbp:isOpenTo |
true
|
| gptkbp:isOptimizedFor |
large datasets
|
| gptkbp:isPartOf |
deep learning frameworks
Facebook AI ecosystem |
| gptkbp:isSuitableFor |
low-resource languages
large vocabularies |
| gptkbp:isUsedBy |
data scientists
developers researchers |
| gptkbp:isUsedFor |
gptkb:Java
C Python |
| gptkbp:isUsedIn |
sentiment analysis
topic modeling chatbots semantic search text generation language modeling |
| gptkbp:mayHave |
n-grams
|
| gptkbp:provides |
efficient memory usage
fast training pre-trained word vectors text similarity measures |
| gptkbp:publishedIn |
gptkb:C++
|
| gptkbp:releaseDate |
2016
|
| gptkbp:supports |
multiple languages
multi-label classification subword_information |
| gptkbp:usedFor |
text classification
word representation |