Rhetorical Figure Detection: Chiasmus, Epanaphora, Epiphora

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Rhetorical Figure Detection: the Case of Chiasmus

We propose an approach to detecting the rhetorical figure called chiasmus, which involves the repetition of a pair of words in reverse order, as in “all for one, one for all”. Although repetitions of words are common in natural language, true instances of chiasmus are rare, and the question is therefore whether a computer can effectively distinguish a chiasmus from a random criss-cross pattern....

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Detecting Rhetorical Figures Based on Repetition of Words: Chiasmus, Epanaphora, Epiphora

Dubremetz, M. 2017. Detecting Rhetorical Figures Based on Repetition of Words: Chiasmus, Epanaphora, Epiphora. Studia Linguistica Upsaliensia 18. 49 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0165-5. This thesis deals with the detection of three rhetorical figures based on repetition of words: chiasmus (“Fair is foul, and foul is fair.”), epanaphora (“Poor old European Commiss...

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Machine Learning for Rhetorical Figure Detection: More Chiasmus with Less Annotation

Figurative language identification is a hard problem for computers. In this paper we handle a subproblem: chiasmus detection. By chiasmus we understand a rhetorical figure that consists in repeating two elements in reverse order: “First shall be last, last shall be first”. Chiasmus detection is a needle-in-the-haystack problem with a couple of true positives for millions of false positives. Due...

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Syntax Matters for Rhetorical Structure: The Case of Chiasmus

The chiasmus is a rhetorical figure involving the repetition of a pair of words in reverse order, as in “all for one, one for all”. Previous work on detecting chiasmus in running text has only considered superficial features like words and punctuation. In this paper, we explore the use of syntactic features as a means to improve the quality of chiasmus detection. Our results show that taking sy...

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ژورنال

عنوان ژورنال: Frontiers in Digital Humanities

سال: 2018

ISSN: 2297-2668

DOI: 10.3389/fdigh.2018.00010