{"type":"ScholarlyArticle","title":"Deexaggeration","authors":[{"name":"Li Kong","slug":"li-kong","given":"Li","family":"Kong","affiliation":"State Key Laboratory for Novel Software Technology , Nanjing University , Nanjing , China"},{"name":"Chuanyi Li","slug":"chuanyi-li","given":"Chuanyi","family":"Li","affiliation":"State Key Laboratory for Novel Software Technology , Nanjing University , Nanjing , China"},{"name":"Vincent Ng","slug":"vincent-ng","given":"Vincent","family":"Ng","affiliation":"Human Language Technology Research Institute , University of Texas at Dallas , Richardson , Texas , USA"}],"abstract":"We introduce a new task in hyperbole processing, deexaggeration, which concerns the recovery of the meaning of what is being exaggerated in a hyperbolic sentence in the form of a structured representation. In this paper, we lay the groundwork for the computational study of understanding hyperbole by (1) defining a structured representation to encode what is being exaggerated in a hyperbole in a non-hyperbolic manner, (2) annotating the hyperbolic sentences in two existing datasets, HYPO and HYPO-cn, using this structured representation, (3) conducting an empirical analysis of our annotated corpora, and (4) presenting preliminary results on the deexaggeration task.","doi":"10.24963/ijcai.2022/581","url":"https://ijcai.org/proceedings/2022/581","pdf":"https://ijcai.org/proceedings/2022/0581.pdf","markdown":"https://ijcai.org/proceedings/2022/581.md","bibtex":"https://ijcai.org/proceedings/2022/bibtex/581","volume":{"slug":"2022","title":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2022","url":"https://ijcai.org/proceedings/2022/","year":2022,"location":"Vienna","dates":"23-29 July 2022","editors":"Luc De Raedt","isbn":"978-1-956792-00-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2022"},"section":"Natural Language Processing","track":"Main Track","number":581,"pages":{"first":4185,"last":4192},"keywords":["Natural Language Processing: Information Retrieval and Text Mining","Natural Language Processing: Applications"],"videos":[{"label":"Video #1","url":"https://slideslive.com/38986646","length_sec":84,"provider":"slideslive"},{"label":"Video #2","url":"https://slideslive.com/38984789","length_sec":315,"provider":"slideslive"}],"references":[{"position":1,"raw":"[Chen et al., 2019] I-Hsuan Chen, Yunfei Long, Qin Lu, and Chu-Ren Huang. 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