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  2. 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]

  3. Center embedding - Wikipedia

    en.wikipedia.org/wiki/Center_embedding

    In linguistics, center embedding is the process of embedding a phrase in the middle of another phrase of the same type. This often leads to difficulty with parsing which would be difficult to explain on grammatical grounds alone. The most frequently used example involves embedding a relative clause inside another one as in:

  4. Template:Strikethrough - Wikipedia

    en.wikipedia.org/wiki/Template:Strikethrough

    Strikethrough}} draws a line through the text provided in the first unnamed parameter. The template embeds the parameter in an HTML <s>...</s> element, producing output such as: this, i.e. text with a line drawn through its middle. Outside articles, it can be used to mark something as no longer accurate or relevant without removing it from view.

  5. Bot, bye: How to delete spam YouTube comments - AOL

    www.aol.com/bot-bye-delete-spam-youtube...

    These spammers, who tend to swarm popular and finance-focused channels like plagues of locusts, hawking vague entrepreneurial endeavors or hot singles in your area, encourage viewers to reach out ...

  6. Sentence embedding - Wikipedia

    en.wikipedia.org/wiki/Sentence_embedding

    In practice however, BERT's sentence embedding with the [CLS] token achieves poor performance, often worse than simply averaging non-contextual word embeddings. SBERT later achieved superior sentence embedding performance [8] by fine tuning BERT's [CLS] token embeddings through the usage of a siamese neural network architecture on the SNLI dataset.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Embedding vectors created using the Word2vec algorithm have some advantages compared to earlier algorithms [1] such as those using n-grams and latent semantic analysis. GloVe was developed by a team at Stanford specifically as a competitor, and the original paper noted multiple improvements of GloVe over word2vec. [ 9 ]

  8. Template:Infobox YouTube personality - Wikipedia

    en.wikipedia.org/wiki/Template:Infobox_YouTube...

    An infobox for a YouTube personality or channel. Template parameters [Edit template data] This template has custom formatting. Parameter Description Type Status Honorific prefix honorific_prefix honorific prefix Honorific prefix(es), to appear above the YouTube personality's name. Example [[Sir]] Line optional Name name The name of the YouTube personality or channel. String suggested Honorific ...

  9. Help:Wikitext - Wikipedia

    en.wikipedia.org/wiki/Help:Wikitext

    It's uncommon – but on occasion acceptable for notes to other editors – to add a hidden comment within the text of an article. These comments are visible only when editing or viewing the source of a page. Most comments should go on the appropriate Talk page. The format is to surround the hidden text with "<!--" and "-->" and may cover ...