IJCAI 2022poster98 citations
Deexaggeration
Li Kong, Chuanyi Li, Vincent Ng
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.
Natural Language Processing: ApplicationsNatural Language Processing: Information Retrieval and Text Mining
BibTeX
@inproceedings{ijcai2022p581,
title = {Deexaggeration},
author = {Kong, Li and Li, Chuanyi and Ng, Vincent},
booktitle = {Proceedings of the Thirty-First International Joint Conference on
Artificial Intelligence, {IJCAI-22}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Lud De Raedt},
pages = {4185--4192},
year = {2022},
month = {7},
note = {Main Track},
doi = {10.24963/ijcai.2022/581},
url = {https://doi.org/10.24963/ijcai.2022/581},
}