Corpus ID: 221970454

Reactive Supervision: A New Method for Collecting Sarcasm Data

  title={Reactive Supervision: A New Method for Collecting Sarcasm Data},
  author={Boaz Shmueli and Lun-Wei Ku and Soumya Ray},
  • Boaz Shmueli, Lun-Wei Ku, Soumya Ray
  • Published in EMNLP 2020
  • Computer Science
  • Sarcasm detection is an important task in affective computing, requiring large amounts of labeled data. We introduce reactive supervision, a novel data collection method that utilizes the dynamics of online conversations to overcome the limitations of existing data collection techniques. We use the new method to create and release a first-of-its-kind large dataset of tweets with sarcasm perspective labels and new contextual features. The dataset is expected to advance sarcasm detection research… CONTINUE READING

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