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2. Word2vec - Wikipedia

   en.wikipedia.org/wiki/Word2vec

   Word2vec can use either of two model architectures to produce these distributed representations of words: continuous bag of words (CBOW) or continuously sliding skip-gram. In both architectures, word2vec considers both individual words and a sliding context window as it iterates over the corpus.

3. File:Skip-gram.svg - Wikipedia

   en.wikipedia.org/wiki/File:Skip-gram.svg

   You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

4. Skip-gram - Wikipedia

   en.wikipedia.org/?title=Skip-gram&redirect=no

   Language links are at the top of the page. Search. Search

5. Word embedding - Wikipedia

   en.wikipedia.org/wiki/Word_embedding

   In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

6. Language model - Wikipedia

   en.wikipedia.org/wiki/Language_model

   A language model is a model of natural language. [1] Language models are useful for a variety of tasks, including speech recognition, [2] machine translation, [3] natural language generation (generating more human-like text), optical character recognition, route optimization, [4] handwriting recognition, [5] grammar induction, [6] and information retrieval.

7. Word n-gram language model - Wikipedia

   en.wikipedia.org/wiki/Word_n-gram_language_model

   the set of 1-skip-2-grams includes all the bigrams (2-grams), and in addition the subsequences the in, rain Spain, in falls, Spain mainly, falls on, mainly the, and on plain. In skip-gram model, semantic relations between words are represented by linear combinations, capturing a form of compositionality.

8. Struc2vec - Wikipedia

   en.wikipedia.org/wiki/Struc2vec

   struc2vec is a framework to generate node vector representations on a graph that preserve the structural identity. [1] In contrast to node2vec, that optimizes node embeddings so that nearby nodes in the graph have similar embedding, struc2vec captures the roles of nodes in a graph, even if structurally similar nodes are far apart in the graph.

9. List of mumble rap artists - Wikipedia

   en.wikipedia.org/wiki/List_of_mumble_rap_artists

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