@cite{warstadt-2022}: Presupposition Triggering and Utterance Utility @cite{warstadt-2022} #
Empirical domain types and truth conditions for Warstadt's genus-species presupposition model. Two examples demonstrate that presupposition triggering emerges from pragmatic reasoning about utterance utility.
Green Card Example (Table 1) #
Three worlds, five utterances, two QUDs. The central prediction: under the "need visa?" QUD, "not green card" triggers the genus inference (Tom is non-US), but under "free drink?" QUD, no such inference arises.
Family-Genus-Species Example (Table 2) #
Four worlds in a taxonomic hierarchy (Olympic sprinter ⊂ runner ⊂ athlete), seven utterances, non-uniform priors. Species-level negation ("not Olympic sprinter") triggers stronger accommodation than genus-level ("not runner").
Green Card Example (Table 1) #
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Utterances for the green card scenario.
us/notUS: genus-level descriptionsgreenCard/notGreenCard: species-level descriptionssilence: null utterance
- us : GCUtterance
- notUS : GCUtterance
- greenCard : GCUtterance
- notGreenCard : GCUtterance
- silence : GCUtterance
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Truth conditions from Table 1. All negations are Boolean.
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- Phenomena.Presupposition.Studies.Warstadt2022.gcMeaning Phenomena.Presupposition.Studies.Warstadt2022.GCUtterance.us Phenomena.Presupposition.Studies.Warstadt2022.GCWorld.usCitizen = true
- Phenomena.Presupposition.Studies.Warstadt2022.gcMeaning Phenomena.Presupposition.Studies.Warstadt2022.GCUtterance.us x✝ = false
- Phenomena.Presupposition.Studies.Warstadt2022.gcMeaning Phenomena.Presupposition.Studies.Warstadt2022.GCUtterance.notUS Phenomena.Presupposition.Studies.Warstadt2022.GCWorld.usCitizen = false
- Phenomena.Presupposition.Studies.Warstadt2022.gcMeaning Phenomena.Presupposition.Studies.Warstadt2022.GCUtterance.notUS x✝ = true
- Phenomena.Presupposition.Studies.Warstadt2022.gcMeaning Phenomena.Presupposition.Studies.Warstadt2022.GCUtterance.greenCard x✝ = false
- Phenomena.Presupposition.Studies.Warstadt2022.gcMeaning Phenomena.Presupposition.Studies.Warstadt2022.GCUtterance.notGreenCard x✝ = true
- Phenomena.Presupposition.Studies.Warstadt2022.gcMeaning Phenomena.Presupposition.Studies.Warstadt2022.GCUtterance.silence x✝ = true
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QUD answer function: maps each QUD to a world's answer.
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- Phenomena.Presupposition.Studies.Warstadt2022.gcQUDAnswer Phenomena.Presupposition.Studies.Warstadt2022.GCQUD.needVisa Phenomena.Presupposition.Studies.Warstadt2022.GCWorld.nonUS = true
- Phenomena.Presupposition.Studies.Warstadt2022.gcQUDAnswer Phenomena.Presupposition.Studies.Warstadt2022.GCQUD.needVisa x✝ = false
- Phenomena.Presupposition.Studies.Warstadt2022.gcQUDAnswer Phenomena.Presupposition.Studies.Warstadt2022.GCQUD.freeDrink Phenomena.Presupposition.Studies.Warstadt2022.GCWorld.gcHolder = true
- Phenomena.Presupposition.Studies.Warstadt2022.gcQUDAnswer Phenomena.Presupposition.Studies.Warstadt2022.GCQUD.freeDrink x✝ = false
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QUD projection: two worlds are equivalent iff they give the same QUD answer.
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Uniform world prior.
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PrProp decomposition of "green card": presupposes non-US, asserts has GC.
This captures the traditional presupposition analysis. The paper's key contribution is showing that this presupposition structure EMERGES from RSA reasoning over Boolean truth conditions, without being stipulated.
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The Boolean meaning of "green card" decomposes as presupposition ∧ assertion.
"not green card" is Boolean negation of "green card".
"not US" is Boolean negation of "US".
needVisa QUD partition: {usCitizen, gcHolder} (no) vs {nonUS} (yes).
freeDrink QUD partition: {usCitizen, nonUS} (no) vs {gcHolder} (yes).
Family-Genus-Species Example (Table 2) #
World states for the family-genus-species hierarchy.
olympicSprinter: species (⊂ runner ⊂ athlete)runner: genus (⊂ athlete)otherAthlete: family levelnonAthlete: outside the hierarchy
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Utterances for the family-genus-species scenario.
Seven utterances: three positive descriptions at each taxonomic level, their Boolean negations, plus silence.
- olympicSprinter : FGSUtterance
- notOlympicSprinter : FGSUtterance
- runner : FGSUtterance
- notRunner : FGSUtterance
- athlete : FGSUtterance
- notAthlete : FGSUtterance
- silence : FGSUtterance
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Truth conditions from Table 2.
Respects the taxonomic hierarchy: Olympic sprinter ⊂ runner ⊂ athlete.
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- Phenomena.Presupposition.Studies.Warstadt2022.fgsMeaning Phenomena.Presupposition.Studies.Warstadt2022.FGSUtterance.olympicSprinter x✝ = false
- Phenomena.Presupposition.Studies.Warstadt2022.fgsMeaning Phenomena.Presupposition.Studies.Warstadt2022.FGSUtterance.notOlympicSprinter x✝ = true
- Phenomena.Presupposition.Studies.Warstadt2022.fgsMeaning Phenomena.Presupposition.Studies.Warstadt2022.FGSUtterance.runner x✝ = false
- Phenomena.Presupposition.Studies.Warstadt2022.fgsMeaning Phenomena.Presupposition.Studies.Warstadt2022.FGSUtterance.notRunner x✝ = true
- Phenomena.Presupposition.Studies.Warstadt2022.fgsMeaning Phenomena.Presupposition.Studies.Warstadt2022.FGSUtterance.athlete x✝ = true
- Phenomena.Presupposition.Studies.Warstadt2022.fgsMeaning Phenomena.Presupposition.Studies.Warstadt2022.FGSUtterance.notAthlete x✝ = false
- Phenomena.Presupposition.Studies.Warstadt2022.fgsMeaning Phenomena.Presupposition.Studies.Warstadt2022.FGSUtterance.silence x✝ = true
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Non-uniform world prior from Table 2 (percentages).
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- Phenomena.Presupposition.Studies.Warstadt2022.fgsWorldPrior Phenomena.Presupposition.Studies.Warstadt2022.FGSWorld.olympicSprinter = 1 / 100
- Phenomena.Presupposition.Studies.Warstadt2022.fgsWorldPrior Phenomena.Presupposition.Studies.Warstadt2022.FGSWorld.runner = 5 / 100
- Phenomena.Presupposition.Studies.Warstadt2022.fgsWorldPrior Phenomena.Presupposition.Studies.Warstadt2022.FGSWorld.otherAthlete = 10 / 100
- Phenomena.Presupposition.Studies.Warstadt2022.fgsWorldPrior Phenomena.Presupposition.Studies.Warstadt2022.FGSWorld.nonAthlete = 84 / 100
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Max QUD (full world identification).
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- Phenomena.Presupposition.Studies.Warstadt2022.fgsQUDProject w1 w2 = (w1 == w2)
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Olympic sprinter entails runner.
Runner entails athlete.
Olympic sprinter entails athlete (transitivity).
Boolean negation: not Olympic sprinter = ¬ Olympic sprinter.
Boolean negation: not runner = ¬ runner.
Boolean negation: not athlete = ¬ athlete.
Green Card: Context Types #
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- Phenomena.Presupposition.Studies.Warstadt2022.instBEqGCContext.beq x✝¹ x✝ = false
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All 2³ = 8 contexts (subsets of GCWorld).
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A world is compatible with a context iff the context includes it.
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- Phenomena.Presupposition.Studies.Warstadt2022.gcCompatible c Phenomena.Presupposition.Studies.Warstadt2022.GCWorld.usCitizen = c.usCitizen
- Phenomena.Presupposition.Studies.Warstadt2022.gcCompatible c Phenomena.Presupposition.Studies.Warstadt2022.GCWorld.gcHolder = c.gcHolder
- Phenomena.Presupposition.Studies.Warstadt2022.gcCompatible c Phenomena.Presupposition.Studies.Warstadt2022.GCWorld.nonUS = c.nonUS
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Family-Genus-Species: Context Types #
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- Phenomena.Presupposition.Studies.Warstadt2022.instBEqFGSContext.beq x✝¹ x✝ = false
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All 2⁴ = 16 contexts.
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- Phenomena.Presupposition.Studies.Warstadt2022.fgsCompatible c Phenomena.Presupposition.Studies.Warstadt2022.FGSWorld.olympicSprinter = c.olympicSprinter
- Phenomena.Presupposition.Studies.Warstadt2022.fgsCompatible c Phenomena.Presupposition.Studies.Warstadt2022.FGSWorld.runner = c.runner
- Phenomena.Presupposition.Studies.Warstadt2022.fgsCompatible c Phenomena.Presupposition.Studies.Warstadt2022.FGSWorld.otherAthlete = c.otherAthlete
- Phenomena.Presupposition.Studies.Warstadt2022.fgsCompatible c Phenomena.Presupposition.Studies.Warstadt2022.FGSWorld.nonAthlete = c.nonAthlete
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- identity : FGSQUD
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PrProp Connection #
The Boolean meaning of "green card" decomposes as presupposition ∧ assertion.
"not green card" is Boolean negation — no presupposition in the semantics.