Document Type
Conference Proceeding
Publication Title
FLP 2022 - 3rd Workshop on Figurative Language Processing, Proceedings of the Workshop
Abstract
We introduce EUREKA, an ensemble-based approach for performing automatic euphemism detection. We (1) identify and correct potentially mislabelled rows in the dataset, (2) curate an expanded corpus called EuphAug, (3) leverage model representations of Potentially Euphemistic Terms (PETs), and (4) explore using representations of semantically close sentences to aid in classification. Using our augmented dataset and kNN-based methods, EUREKA was able to achieve state-of-the-art results on the public leaderboard of the Euphemism Detection Shared Task, ranking first with a macro F1 score of 0.881.
First Page
111
Last Page
117
DOI
10.18653/v1/2022.flp-1.15
Publication Date
12-2022
Keywords
Computational linguistics
Recommended Citation
S.S. Keh, et al, "EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation", In Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), ACL, pp. 111–117, Dec 2022. doi:10.18653/v1/2022.flp-1.15
Comments
Archived thanks to ACL Anthology
License: CC by 4.0 DEED
Uploaded 30 November 2022