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

@inproceedings{Dubremetz2017MachineLF,
  title={Machine Learning for Rhetorical Figure Detection: More Chiasmus with Less Annotation},
  author={Marie Dubremetz and Joakim Nivre},
  booktitle={NODALIDA},
  year={2017}
}
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 to a lack of annotated data, prior work on detecting chiasmus in running text has only considered… CONTINUE READING

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