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Referring can take place in a number of ways. Typically, in the case of (1), the RE is likely to succeed in picking out the referent because the words in the expression and the way they are combined give a true, accurate, description of the referent, in such a way that the hearer of the expression can recognize the speaker's intention.
An opaque context or referentially opaque context is a linguistic context in which it is not always possible to substitute "co-referential" expressions (expressions referring to the same object) without altering the truth of sentences. [1] The expressions involved are usually grammatically singular terms. So, substitution of co-referential ...
Verbal context influences the way an expression is understood; hence the norm of not citing people out of context. Since much contemporary linguistics takes texts, discourses, or conversations as the object of analysis, the modern study of verbal context takes place in terms of the analysis of discourse structures and their mutual relationships ...
Word2vec can use either of two model architectures to produce these distributed representations of words: continuous bag of words (CBOW) or continuously sliding skip-gram. In both architectures, word2vec considers both individual words and a sliding context window as it iterates over the corpus.
Deixis – Words requiring context to understand their meaning; Implicature – Information conveyed verbally yet not literally; Indexicality – Phenomenon of a sign pointing to (or indexing) some object in the context in which it occurs; Origo (pragmatics) – Reference point of a deictic expression in the context of pragmatics
MOSCOW (Reuters) -Russian President Vladimir Putin said on Thursday that he was ready to compromise over Ukraine in possible talks with U.S. President-elect Donald Trump on ending the war and had ...
J.D. Power released its 2024 mortgage lender customer satisfaction survey — and the results are surprising. Here are the major changes in lender satisfaction.
Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...