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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. 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 ]

  4. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    The first layer is the embedding layer, which contains three components: token type embeddings, position embeddings, and segment type embeddings. Token type: The token type is a standard embedding layer, translating a one-hot vector into a dense vector based on its token type.

  5. 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.

  6. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    Text is converted to numerical representations called tokens, and each token is converted into a vector via lookup from a word embedding table. [2] At each layer, each token is then contextualized within the scope of the context window with other (unmasked) tokens via a parallel multi-head attention mechanism, allowing the signal for key tokens ...

  7. Embedded - Wikipedia

    en.wikipedia.org/wiki/Embedded

    Embedded system, a special-purpose system in which the computer is completely encapsulated by the device it controls; Embedding, installing media into a text document to form a compound document <embed></embed>, a HyperText Markup Language (HTML) element that inserts a non-standard object into the HTML document

  8. Compose and send emails in AOL Mail

    help.aol.com/articles/aol-mail-compose-and-contacts

    1. From the inbox, click Compose. 2. In the "To" field, type the name or email address of your contact. 3. In the "Subject" field, type a brief summary of the email.

  9. Font embedding - Wikipedia

    en.wikipedia.org/wiki/Font_embedding

    Font embedding is the inclusion of font files inside an ... But this feature does not work correctly in some Word versions. ... Text is available under the Creative ...