Identifying Exaggerated Language

Li Kong, Chuanyi Li, Jidong Ge, Bin Luo, and Vincent Ng.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, pp. 7024-7034, 2020.

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Abstract

While exaggeration is one of the most prevalent rhetorical devices, it is arguably one of the least studied in the figurative language processing community. We contribute to the computational study of exaggeration by (1) creating the first Chinese corpus focusing on sentence-level hyperbole detection, with the goal of facilitating a cross-lingual study on this phenomenon, (2) performing a statistical and manual analysis of our corpus, with the goal of gaining insights into the strategies humans employ when creating hyperboles, and (3) addressing the automatic hyperbole detection task with deep learning techniques.

BibTeX entry

@InProceedings{Kong+etal:20a,
  author = {Li Kong and Chuanyi Li and Jidong Ge and Bin Luo and Vincent Ng},
  title = {Identifying Exaggerated Language},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing},
  pages = {7024--7034}, 
  year = 2020}