Non-Asked Questions — Computational linguistics
Level-1 consensus and edges in Computational linguistics, plus how NotAsked surfaces non-asked questions.
Level-1 Consensus (abstract)
Shared ground
Distributional semantics approximates meaning via context; parsing/tagging enable downstream tasks.
Edges and limits
Grounding beyond text, cross-lingual fairness, and robustness benchmarks are incomplete.
Why Computational linguistics has non-asked questions
Blind-spot generators
Institutional incentives, overloaded metrics, and inherited frames suppress alternative questions even when evidence suggests re-framing.
What our service does
We produce seven candidate questions tied to assumptions, evidence routes, and decision criteria, then facilitate alignment.