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A Novel Recursive Network for Irony Detection in Tweets (PyTorch)

Dataset description: SemEval-2018 task 3 - Irony detection in English tweets

  1. Project report is in folder /doc

  2. Install requirements first

  3. Run models/task3/train for ntua implementation

  4. Run /Vandad/try-bert to play with bert

  5. Download ntua embeddings from their github repository by running one of their tasks and put it under "embeddings"

  6. Results are in foler /out/experiments/

The follwing is our proposed architecture:

alt The follwing is our proposed architecture