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A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives

What it is about

A survey of irony research. It reviews definitions (saying the opposite vs echoic and relevance-based accounts), situational vs verbal irony, the verbal, grammatical and construction-level markers of irony (core evaluative words such as thank, congratulate, welcome, interesting; patterns like «NP would love…»; idiomatic ironic constructions that trigger reversal without much context), the functions of irony (politeness, softened criticism, humour) and the irony–sarcasm border (sarcasm as the hurtful, face-threatening kind, though most computational work does not separate them). It tabulates datasets (mostly Twitter, built by hashtags and keywords, mostly binary labels; only one fine-grained scheme) and systems from rule-based pattern matchers through feature-based classifiers, recurrent networks and fine-tuned transformers, and calls for datasets from literature, conversation and news, a shared annotation scheme, and work on irony generation and on irony's effect on sentiment analysis.

Ideas

For Mova

34. Irony and figurative language §1–4 (definitions, theories, cues), §8 (idioms and the expression lens), §10, and 32-politeness-and-hedging.md §5 (impoliteness). Code: prag/src/irony.rs, the expression base (Expressions with their real meanings — the pragmatics lens), world/src/talk.rs. Measures: irony-candidate precision on silver; count of ironic constructions read by meaning.

Cite

The paper itself, not this card. BibTeX from the library's record of the work. arXiv 2209.04712

@inproceedings{zeng2022survey,
  title = {{A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives}},
  author = {Zeng, Qingcheng and Li, An-Ran},
  booktitle = {Proceedings of the 29th International Conference on Computational Linguistics},
  year = {2022},
  eprint = {2209.04712},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2209.04712}
}

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