This repo is the work done for IDAT 2019 Shared Task — Shared Task on detecting irony in Arabic tweets by RGCL
This repository contains the code of RGCL's submission for IDAT 2019 Shared Task. The task aims at detecting irony in Arabic tweets. Given a tweet, systems have to classify it as either ironic or not ironic. As far as we know, this is the first shared task on irony for the Arabic language.
| Model | Precision | Recall | F1 |
|---|---|---|---|
| Capsule | 0.807 | 0.800 | 0.798 |
| CNN | 0.806 | 0.801 | 0.800 |
| Pooled GRU | 0.800 | 0.789 | 0.785 |
| Attention LSTM | 0.788 | 0.766 | 0.760 |
| Attention LSTM GRU | 0.783 | 0.768 | 0.762 |
| Attention Capsule | 0.776 | 0.768 | 0.764 |
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