Identifying Exaggerated Language

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.