Irony Identification
2 papers with code • 1 benchmarks • 2 datasets
This task asks a model to identify whether a given sentence(s) is/are ironic or not.
Source: BIG-bench
Benchmarks
These leaderboards are used to track progress in Irony Identification
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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BIG-bench
ArSarcasm-v2
Most implemented papers
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
Training Compute-Optimal Large Language Models
We investigate the optimal model size and number of tokens for training a transformer language model under a given compute budget.
