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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]
Web embed, an element of a host web page that is substantially independent of the host page; Font embedding, inclusion of font files inside an electronic document; Word embedding, a text representation technique used in natural language processing. Data representations generated through feature learning
The abbreviation is not always a short form of the word used in the clue. For example: "Knight" for N (the symbol used in chess notation) Taking this one stage further, the clue word can hint at the word or words to be abbreviated rather than giving the word itself. For example: "About" for C or CA (for "circa"), or RE.
Crossword. Solve puzzle clues across and down to fill the numbered rows and columns of the grid with words and phrases. By Masque Publishing. Advertisement. Advertisement. all. board. card. casino.
In a compilation metapuzzle, the answers to puzzles unite as components used to solve a final puzzle. This form of puzzle is particularly inclined towards backsolving, where some of the component puzzle answers are used to solve the final metapuzzle, and the metapuzzle's solution is used to solve the remaining component puzzles.
An acrostic is a type of word puzzle, related somewhat to crossword puzzles, that uses an acrostic form. It typically consists of two parts. It typically consists of two parts. The first part is a set of lettered clues, each of which has numbered blanks representing the letters of the answer.
A consumer wishes to show an embedded representation of a third-party resource on their own website, such as a photo or an embedded video. A provider implements the oEmbed API to allow consumers to fetch that representation. The following software is able to embed content from websites that support oEmbed: Squarespace [4] WordPress [5] Drupal [6]
An alternative direction is to aggregate word embeddings, such as those returned by Word2vec, into sentence embeddings. The most straightforward approach is to simply compute the average of word vectors, known as continuous bag-of-words (CBOW). [9] However, more elaborate solutions based on word vector quantization have also been proposed.