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Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog

What it is about

Rhetorical questions (questions not meant to get an answer) are collected with an intent-based heuristic: a question in the middle of a turn that the same speaker answers at once, without giving up the turn. This yields 10,270 rhetorical questions from debate forums (Internet Argument Corpus) and Twitter. An SVM on word embeddings separates them from sincere information-seeking questions at 0.76 F1. Rhetorical questions are then classified as sarcastic or other (argumentative structuring in forums; attention-grabbing and calls to action in tweets): adding LIWC category features lifts forum results to 0.76/0.77 F1, an LSTM is sensitive to how much context is given (the sarcasm is often sharpened by the remark after the question), and tweets are easier (higher scores). The paper also recalls linguistic cues from earlier work: after all at the start and strong negative polarity items (lift a finger, budge an inch) mark rhetorical questions, by any chance marks sincere ones.

Ideas

For Mova

34. Irony and figurative language §6 (rhetorical questions), 26-questions.md, 31-speech-acts.md §5. Code: prag/src/frames.rs, prag/src/agree.rs, prag/data/cues.tsv, world/src/qud.rs. Measures: act accuracy on question-form lines in prag eval; QUD stack tests.

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.18653/v1/w17-5537 · arXiv 1709.05305

@inproceedings{oraby2017are,
  title = {{Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog}},
  author = {Oraby, Shereen and Harrison, Vrindavan and Misra, Amita and Riloff, Ellen and Walker, Marilyn},
  booktitle = {Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue},
  year = {2017},
  doi = {10.18653/v1/w17-5537},
  eprint = {1709.05305},
  archivePrefix = {arXiv},
  url = {https://doi.org/10.18653/v1/w17-5537}
}

References

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