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word-sense disambiguation – the task of automatically associating a sense with a word in context; lexical substitution – the task of replacing a word in context with a lexical substitute; sememe – unit of meaning; linguistics – the scientific study of language, which can be theoretical or applied. sense and reference
A complex sentence is one that has a main clause which could stand alone and a dependent clause which cannot by itself be a sentence. Using a complex sentence is a way to refer to the content of the paragraph above (dependent clause) and then bring in the content of the new paragraph (the independent clause). Here is a typical example:
Innuendo: having a hidden meaning in a sentence that makes sense whether it is detected or not. Irony: use of word in a way that conveys a meaning opposite to its usual meaning. [18] Kenning: using a compound word neologism to form a metonym. Litotes: emphasizing the magnitude of a statement by denying its opposite.
A typical sentence contains one independent clause and possibly one or more dependent clauses, although it is also possible to link together sentences of this form into longer sentences, using coordinating conjunctions (see above).
A major sentence is a regular sentence; it has a subject and a predicate, e.g. "I have a ball." In this sentence, one can change the persons, e.g. "We have a ball." However, a minor sentence is an irregular type of sentence that does not contain a main clause, e.g. "Mary!", "Precisely so.", "Next Tuesday evening after it gets dark."
Semantics studies meaning in language, which is limited to the meaning of linguistic expressions. It concerns how signs are interpreted and what information they contain. An example is the meaning of words provided in dictionary definitions by giving synonymous expressions or paraphrases, like defining the meaning of the term ram as adult male sheep. [22]
The garden-path sentence effect occurs when the sentence has a phrase or word with an ambiguous meaning that the reader interprets in a certain way and, when they read the whole sentence, there is a difference in what has been read and what was expected. The reader must then read and evaluate the sentence again to understand its meaning.
For each context window, MSSA calculates the centroid of each word sense definition by averaging the word vectors of its words in WordNet's glosses (i.e., short defining gloss and one or more usage example) using a pre-trained word-embedding model. These centroids are later used to select the word sense with the highest similarity of a target ...