This repo is the work done for IDAT 2019 Shared Task — Shared Task on detecting irony in Arabic tweets by RGCL

Course Project (ELEC 880 @ Queen's University)

Persian Irony Detection, include a Persian dataset, creating a dataset automatically, and finetuning transformer-based language models for the task

Allennlp based irony detection models.

Irony Detection in a Multilingual Context

System for irony detection in product reviews

MirasText

A Simple and Accurate Neural Network Model for Irony Detection in Twitter

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)