Stanford GloVe embeddings

GPTKB entity

Statements (51)
Predicate Object
gptkbp:instanceOf word embedding model
gptkbp:abbreviation gptkb:GloVe
gptkbp:application gptkb:machine_learning
natural language processing
sentiment analysis
text classification
word similarity
gptkbp:author Jeffrey Pennington, Richard Socher, Christopher D. Manning
gptkbp:availableOn gptkb:GitHub
government position
pre-trained vectors
gptkbp:basedOn matrix factorization
co-occurrence statistics
gptkbp:citation gptkb:EMNLP_2014
gptkb:GloVe:_Global_Vectors_for_Word_Representation
2014
gptkbp:developedBy gptkb:Stanford_University
gptkbp:developer gptkb:Richard_Socher
gptkb:Christopher_Manning
gptkb:GloVe_team
gptkb:Jeffrey_Pennington
gptkbp:dimensionOptions 100
300
50
200
gptkbp:feature efficient training
captures semantic similarity
captures word analogies
dense vector representations
scalable to large corpora
gptkbp:format plain text
text file with word vectors
gptkbp:fullName gptkb:Global_Vectors_for_Word_Representation
gptkbp:github https://github.com/stanfordnlp/GloVe
https://www.w3.org/2000/01/rdf-schema#label Stanford GloVe embeddings
gptkbp:input gptkb:text
gptkbp:language English
multiple languages
gptkbp:license gptkb:Apache_License_2.0
gptkbp:method unsupervised learning
gptkbp:output word vectors
gptkbp:relatedTo gptkb:fastText
gptkb:word2vec
gptkbp:releaseYear 2014
gptkbp:trainer gptkb:Twitter
gptkb:Wikipedia
gptkb:Gigaword
gptkb:Common_Crawl
gptkbp:website https://nlp.stanford.edu/projects/glove/
gptkbp:bfsParent gptkb:Stanford_Artificial_Intelligence_Laboratory
gptkbp:bfsLayer 5