---
title: "Who cites How Challenging is Sarcasm — 4 citing papers"
description: "4 papers of the Elamur Research library cite «How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English…"
canonical: "https://research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/cited-by/"
---
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# Who cites «How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature»

4 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature»](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/)

1. **[WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony](https://md.research.elamur.ai/free/en/papers/rohanian-2018-wlv-semeval-2018-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al.*2018 · 39 citations*
2. [**A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives**Qingcheng Zeng, An-Ran Li*2022 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2022-survey-automatic-irony-processing-linguistic/)
3. **[BERT's The Word : Sarcasm Target Detection using BERT](https://md.research.elamur.ai/free/en/papers/parameswaran-2021-bert-s-word-sarcasm-target/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/alta/)**Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, et al.*2021 · 2 citations*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/) — How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature