IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets
Table 1: Results of our ablation study for binary features in terms of F1-Score on the validation set.
['[BOLD] Feature', '[BOLD] Yes', '[BOLD] No']
To understand how our strategies to recover more information from the pre-trained word embeddings affected the results, we ran ablation studies to compare how the token-level and sentence-level features contributed to the performance.