no code implementations • 25 Jan 2024 • Patrick Lee, Alain Chirino Trujillo, Diana Cuevas Plancarte, Olumide Ebenezer Ojo, Xinyi Liu, Iyanuoluwa Shode, Yuan Zhao, Jing Peng, Anna Feldman
This study investigates the computational processing of euphemisms, a universal linguistic phenomenon, across multiple languages.
1 code implementation • 7 Aug 2023 • Shaoor Munir, Patrick Lee, Umar Iqbal, Zubair Shafiq, Sandra Siby
While privacy-focused browsers have taken steps to block third-party cookies and mitigate browser fingerprinting, novel tracking techniques that can bypass existing countermeasures continue to emerge.
no code implementations • 31 May 2023 • Patrick Lee, Iyanuoluwa Shode, Alain Chirino Trujillo, Yuan Zhao, Olumide Ebenezer Ojo, Diana Cuevas Plancarte, Anna Feldman, Jing Peng
Transformers have been shown to work well for the task of English euphemism disambiguation, in which a potentially euphemistic term (PET) is classified as euphemistic or non-euphemistic in a particular context.
no code implementations • 23 Nov 2022 • Patrick Lee, Anna Feldman, Jing Peng
This paper presents The Shared Task on Euphemism Detection for the Third Workshop on Figurative Language Processing (FigLang 2022) held in conjunction with EMNLP 2022.
1 code implementation • NAACL (unimplicit) 2022 • Patrick Lee, Martha Gavidia, Anna Feldman, Jing Peng
This paper presents a linguistically driven proof of concept for finding potentially euphemistic terms, or PETs.
no code implementations • LREC 2022 • Martha Gavidia, Patrick Lee, Anna Feldman, Jing Peng
Euphemisms prove to be a difficult topic, not only because they are subject to language change, but also because humans may not agree on what is a euphemism and what is not.