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Fiveable, an online learning community for high school students, made its first-ever acquisition earlier this week: Hours, a virtual study platform built by a 16-year-old. Fiveable is a free ...
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:
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 ]
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.
When a message is replied to in e-mail, Internet forums, or Usenet, the original can often be included, or "quoted", in a variety of different posting styles.. The main options are interleaved posting (also called inline replying, in which the different parts of the reply follow the relevant parts of the original post), bottom-posting (in which the reply follows the quote) or top-posting (in ...
In this example, a pull quote is centered between two columns. The text has been "pulled" from the bottom of the first column. In graphic design, a pull quote (also known as a lift-out pull quote) is a key phrase, quotation, or excerpt that has been "pulled" from an article and used as a page layout graphic element, serving to entice readers into the article or to highlight a key topic.
Some authors use the hooked arrow "↪" to denote a continuous embedding, i.e. "X ↪ Y" means "X and Y are normed spaces with X continuously embedded in Y". This is a consistent use of notation from the point of view of the category of topological vector spaces , in which the morphisms ("arrows") are the continuous linear maps .
A book embedding of G onto B is a book drawing that forms a graph embedding of G into B. That is, it is a book drawing of G on B that does not have any edge crossings. Every finite graph has a book embedding onto a book with a large enough number of pages. For instance, it is always possible to embed each edge of the graph on its own separate page.