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Food pairing (or flavor pairing or food combination) is a method of identifying which foods go well together from a flavor standpoint, often based on individual tastes, popularity, availability of ingredients, and traditional cultural practices. From a food science perspective, foods may be said to combine well with one another when they share ...
A pairing of vin jaune with walnuts and Comté cheese. Wine and food matching is the process of pairing food dishes with wine to enhance the dining experience. In many cultures, wine has had a long history of being a staple at the dinner table and in some ways both the winemaking and culinary traditions of a region will have evolved together over the years.
Types and examples. Oxymorons in the narrow sense are a rhetorical device used deliberately by the speaker and intended to be understood as such by the listener. In a more extended sense, the term "oxymoron" has also been applied to inadvertent or incidental contradictions, as in the case of "dead metaphors" ("barely clothed" or "terribly good").
WordNet is the most commonly used computational lexicon of English for word-sense disambiguation (WSD), a task aimed at assigning the context-appropriate meanings (i.e. synset members) to words in a text. [14] However, it has been argued that WordNet encodes sense distinctions that are too fine-grained.
Pivot. 1) (Adjective) Of the suit that both defenders must guard in a double squeeze. 2) (Verb) In party bridge, to change partners while remaining at the same table. 3a) (Verb) In duplicate bridge, to play one round in a given direction, and the next round in the opposite direction at the same table.
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A synonym is a word, morpheme, or phrase that means precisely or nearly the same as another word, morpheme, or phrase in a given language. [2] For example, in the English language, the words begin, start, commence, and initiate are all synonyms of one another: they are synonymous. The standard test for synonymy is substitution: one form can be ...
The construction of a positive set (known interacting protein pairs) and a negative set (non-interacting protein pairs) is needed for the development of a computational prediction model. [53] Prediction models using machine learning techniques can be broadly classified into two main groups: supervised and unsupervised, based on the labeling of ...