Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature»

Who cites «How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature»

4 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  2. A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives — our card · 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  3. BERT''s The Word : Sarcasm Target Detection using BERT — 2021 · Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association
  4. WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/joshi-2016-how-challenging-is-sarcasm-versus/