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Found 4 papers, 1 papers with code
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment
Cross-lingual alignment of word embeddings are important in knowledge transfer across languages, for improving machine translation and other multi-lingual applications.
SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic
Most of the participating teams utilised pre-trained language models.
Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation
Previous sarcasm generation research has focused on how to generate text that people perceive as sarcastic to create more human-like interactions.
The Effect of Sociocultural Variables on Sarcasm Communication Online
In this paper we fill this gap by performing a quantitative analysis on the influence of sociocultural variables, including gender, age, country, and English language nativeness, on the effectiveness of sarcastic communication online.
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