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The use of figurative language is ubiquitous in natural language text and it is a serious bottleneck in automatic text understanding. A system capable of interpreting figurative language would be extremely beneficial to a wide range of practical NLP applications. Scientists have achieved groundbreaking results in the study of a range of figures. Nevertheless, they have given scarce attention to hyperbole . Exaggeration (hyperbole) is an under-researched field in NLP. Only relatively recently has this trope become an object of interest of corpus linguistics, and some insights on its nature have been delivered by statistics extracted from written and spoken sources. Exaggeration is a statement that makes something worse, or better, than it really is. In literature and oral communication, writers and speakers use exaggeration as a literary technique, to give extra stress and drama in a work or speech. Everyday examples of exaggeration: This bicycle is a thousand years old; He snores louder than a cargo train; My dog only has cat friends; He is drowning in his tears; His brain is the size of a pea. The aim of the paper is to present a computational approach to exaggeration. We will explore the possibility to automatically detect exaggerated sentences.
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