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The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing

What it is about

The paper defines event-based modality detection: find every modal trigger in a sentence, of any part of speech (should, plan, prefers, probably, necessary, able), give it a sense, and link it to the head of the event it modifies. The senses form a two-level taxonomy simplified from the Georgetown Gradable Modal Expressions scheme: Plausibility (state of knowledge — epistemic; state of the world — circumstantial; abilities of an agent — dynamic) and Priority (rules and norms — deontic; desires; plans and goals — teleological). Modality is kept separate from factuality: «She was able to reach the shore» and «The paper announced she reached the shore» share a factual event but differ in perspective. On the GME corpus (11K news sentences; triggers in 48% of sentences, 1,502 trigger types, only 37% verbs; human agreement α 0.89 for the two top classes, 0.49 for fine senses) RoBERTa taggers find triggers and senses well for auxiliaries and much less well for open-class triggers, and knowing the trigger helps to find the modified event.

Ideas

For Mova

13. Verbs (modals), 32-politeness-and-hedging.md §8 (epistemic modality), 33-implicature-and-presupposition.md. Code: prag/src/frames.rs (modal field), prag/data (trigger list), world/src/knowledge.rs (question routing). Measures: frame bench (no loss), course test counts on ethics and reflection courses.

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.18653/v1/2021.acl-long.77

@inproceedings{pyatkin2021possible,
  title = {{The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing}},
  author = {Pyatkin, Valentina and Sadde, Shoval and Rubinstein, Aynat and Portner, Paul and Tsarfaty, Reut},
  booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  year = {2021},
  doi = {10.18653/v1/2021.acl-long.77},
  url = {https://doi.org/10.18653/v1/2021.acl-long.77}
}

References

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