Results 141 to 150 of about 10,729 (237)
NCHLT isiNdebele word2vec-CBOW embeddings
Static word embeddings for the continuous bag of words (CBoW) flavour of the word2vec (w2v) architecture (Mikolov et al., 2013).
Roald Eiselen
core
Word2vec Word Embeddings (1 year)
These are word2vec word embeddings created from article text for each year (e.g.
Pair, Emma
core +1 more source
NCHLT Siswati word2vec-Skipgram embeddings
Static word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013).
Roald Eiselen
core
NCHLT Tshivenḓa word2vec-Skipgram embeddings
Static word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013).
Roald Eiselen
core
TaPvex: A Tagged and Phrased word2vec Model
TaPvex: A Tagged and Phrased word2vec Model Benjamin J. Radford September 29, 2017 Summary TaPvex is a trained word2vec model of part-of-speech-tagged and named-entity-tagged words and phrases.
Radford, Benjamin J
core +1 more source
Word2vec2syn : Synonymidentifiering med Word2vec
One of the main challenges in the field of natural language processing (NLP) is synonym identification. Fodina Language Technology AB is the company behind the tool, Termograph, that aims to collect terms and provide a consistent language within companies.
openaire +2 more sources
Circ-EnviroPredict: A machine learning-based tool to predict potential involvement of circRNAs with cold and drought stress through a Word2Vec approach. [PDF]
Martins Ferreira MC, Kremer FS, Galli V.
europepmc +1 more source
Hybrid text mining models for investigative keyword expansion on child sexual abuse in the dark web. [PDF]
Kim JG, Kim J.
europepmc +1 more source
Centroid analysis: Inferring concept representations from open-ended word responses. [PDF]
Petrenco A, Günther F.
europepmc +1 more source
Word2vec Word Embeddings (3 year)
These are word2vec word embeddings created from article text grouped into three years (e.g.
Pair, Emma
core +1 more source

