English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Sarcasm is a pervading linguistic phenomenon and highly challenging toexplain due to its subjectivity, lack of context and deeply-felt opinion. Inthe multimodal setup, sarcasm is conveyed through the incongruity between thetext and visual entities. Although recent approaches deal with sarcasm as aclassification problem, it is unclear why an online post is identified assarcastic. Without proper explanation, end users may not be able to perceivethe underlying sense of irony. In this paper, we propose a novel problem --Multimodal Sarcasm Explanation (MuSE) -- given a multimodal sarcastic postcontaining an image and a caption, we aim to generate a natural languageexplanation to reveal the intended sarcasm. To this end, we develop MORE, a newdataset with explanation of 3510 sarcastic multimodal posts. Each explanationis a natural language (English) sentence describing the hidden irony. Webenchmark MORE by employing a multimodal Transformer-based architecture. Itincorporates a cross-modal attention in the Transformer's encoder which attendsto the distinguishing features between the two modalities. Subsequently, aBART-based auto-regressive decoder is used as the generator. Empirical resultsdemonstrate convincing results over various baselines (adopted for MuSE) acrossfive evaluation metrics. We also conduct human evaluation on predictions andobtain Fleiss' Kappa score of 0.4 as a fair agreement among 25 evaluators.

Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation