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  2. 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.

  3. 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]

  4. Center embedding - Wikipedia

    en.wikipedia.org/wiki/Center_embedding

    One can tell if a sentence is center embedded or edge embedded depending on where the brackets are located in the sentence. [Joe believes [Mary thinks [John is handsome.]]] The cat [that the dog [that the man hit] chased] meowed. In sentence (1), all of the brackets are located on the right, so this sentence is right-embedded.

  5. 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

  6. Noun phrase - Wikipedia

    en.wikipedia.org/wiki/Noun_phrase

    The word he, for instance, functions as a pronoun, but within the sentence it also functions as a noun phrase. The phrase structure grammars of the Chomskyan tradition ( government and binding theory and the minimalist program ) are primary examples of theories that apply this understanding of phrases.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The CBOW can be viewed as a ‘fill in the blank’ task, where the word embedding represents the way the word influences the relative probabilities of other words in the context window. Words which are semantically similar should influence these probabilities in similar ways, because semantically similar words should be used in similar contexts.

  8. Dependent clause - Wikipedia

    en.wikipedia.org/wiki/Dependent_clause

    A dependent clause, also known as a subordinate clause, subclause or embedded clause, is a certain type of clause that juxtaposes an independent clause within a complex sentence. For instance, in the sentence "I know Bette is a dolphin", the clause "Bette is a dolphin" occurs as the complement of the verb "know" rather than as a freestanding ...

  9. Negative raising - Wikipedia

    en.wikipedia.org/wiki/Negative_raising

    The first sentence is grammatical as the Horn clause is a complement of a CNRP expect, and can therefore raise up to the main clause while still being interpretable in the embedded clause. The second sentence is viewed as impossible because the Horn clause is a main clause, and lacks an initial complementizer, such as that.