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In rhetoric, zeugma (/ ˈ zj uː ɡ m ə / ⓘ; from the Ancient Greek ζεῦγμα, zeûgma, lit. "a yoking together" [1]) and syllepsis (/ s ɪ ˈ l ɛ p s ɪ s /; from the Ancient Greek σύλληψις, sullēpsis, lit. "a taking together" [2]) are figures of speech in which a single phrase or word joins different parts of a sentence.
Synergy is an interaction or cooperation giving rise to a whole that is greater than the simple sum of its parts (i.e., a non-linear addition of force, energy, or effect). [1]
For example, changing a complex sentence into two simpler sentences while maintaining the overall meaning falls into this category. Discourse-based changes are alterations that affect the larger discourse or text structure, such as reordering points in a paragraph or changing the way arguments are presented without altering the factual content.
SPL (Sentence Plan Language) is an abstract notation representing the semantics of a sentence in natural language. [1] In a classical Natural Language Generation (NLG) workflow, an initial text plan (hierarchically or sequentially organized factoids, often modelled in accordance with Rhetorical Structure Theory) is transformed by a sentence planner (generator) component to a sequence of ...
It is essentially the Jaccard distance between the sentence, excluding n-grams that appear in the source sentence to maintain some semantic equivalence. PEM, on the other hand, attempts to evaluate the "adequacy, fluency, and lexical dissimilarity" of paraphrases by returning a single value heuristic calculated using N-grams overlap in a pivot ...
The claim: California counting ballots two weeks after Election Day is evidence it was ‘rigged’ A Nov. 19 Instagram post (direct link, archive link) claims one state’s lengthy vote-counting ...
doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [ 14 ] [ 15 ] doc2vec has been implemented in the C , Python and Java / Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.
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