Search Results for author: Kabil Essefar

Found 6 papers, 1 papers with code

CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic

1 code implementation SemEval (NAACL) 2022 Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, Abderrahman Skiredj, Ismail Berrada

Our system\footnote{The source code of our system is available at \url{https://github. com/AbdelkaderMH/iSarcasmEval}} consists of three deep learning-based models leveraging two existing pre-trained language models for Arabic and English.

Opinion Mining Sarcasm Detection +1

CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense

no code implementations SEMEVAL 2021 Kabil Essefar, Abdellah El Mekki, Abdelkader El Mahdaouy, Nabil El Mamoun, Ismail Berrada

Humor detection has become a topic of interest for several research teams, especially those involved in socio-psychological studies, with the aim to detect the humor and the temper of a targeted population (e. g. a community, a city, a country, the employees of a given company).

Humor Detection Multi-Task Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.