Abstract
This paper presents the Task on Irony Detection in Portuguese (IDPT), held within Iberian Languages Evaluation Forum (IberLEF 2021). We asked the participants to develop systems capable of identifying irony in texts. We created two corpora containing tweets and news articles. Twelve teams registered to the task, among which six submitted both predictions and technical reports. The best performing system achieved a Balanced Accuracy (Bacc) value of 0.52 for tweets (Team PiLN) and 0.92 for news (Team BERT4EVER).
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