@cite{kao-etal-2014-hyperbole} — Metaphor @cite{kao-etal-2014-metaphor} #
"Formalizing the Pragmatics of Metaphor Understanding" Proceedings of the Annual Meeting of the Cognitive Science Society, 36, 719-724
The Model #
Domain: "He is a whale" metaphor. 2 categories (whale, person) × 2³ feature combinations (large, graceful, majestic) = 16 world states. 2 utterances (= categories). 3 QUDs (= features).
- L0: L0(w|u) = P(features|category) if category = u, 0 otherwise
- S1: QUD-projected rpow: S1(u|g,w) ∝ [Σ_{w': g(w')=g(w)} L0(w'|u)]^α
- L1: L1(w|u) ∝ P(cat) · P(features|cat) · Σ_g P(g) · S1(u|g,w)
Parameters: α = 3, P(whale) = 1/100, P(person) = 99/100
Qualitative Findings #
| # | Finding | Theorem |
|---|---|---|
| 1 | P(person | "whale") > P(whale | "whale") | nonliteral |
| 2 | P(large=T | "whale") > P(large=F | "whale") | feature_large |
| 3 | P(graceful=T | "whale") > P(graceful=F | "whale") | feature_graceful |
| 4 | P(majestic=T | "whale") > P(majestic=F | "whale") | feature_majestic |
| 5 | Specific QUD → higher P(large=T) than vague QUD | context_sensitivity |
| 6 | P(person | "person") > P(whale | "person") | literal_correct |
The 6 qualitative findings from @cite{kao-etal-2014-hyperbole}. Each model of metaphor should formalize and prove all 6 findings.
- nonliteral : Finding
Hearing "whale" about a person, the listener infers the referent is a person, not literally a whale.
- feature_large : Finding
Metaphor elevates the "large" feature above its prior.
- feature_graceful : Finding
Metaphor elevates the "graceful" feature above its prior.
- feature_majestic : Finding
Metaphor elevates the "majestic" feature above its prior.
- context_sensitivity : Finding
A specific QUD ("Is he large?") raises P(large=T) higher than a vague QUD ("What is he like?").
- literal_correct : Finding
Hearing "person", the listener correctly infers the referent is a person.
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Categories: whale (metaphor vehicle) and person (literal referent). Categories double as utterance types.
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World = category × large × graceful × majestic.
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Feature prior P(large, graceful, majestic | category). Unnormalized counts (×10000) from Experiment 1b / memo code.
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- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.whale true true true = 3059
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.whale true true false = 1381
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.whale true false true = 1791
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.whale true false false = 1310
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.whale false true true = 947
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.whale false true false = 531
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.whale false false true = 602
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.whale false false false = 379
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.person true true true = 1169
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.person true true false = 1058
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.person true false true = 1157
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.person true false false = 1308
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.person false true true = 1529
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.person false true false = 1281
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.person false false true = 1147
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Cat.person false false false = 1351
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Category prior. Unnormalized: whale = 1, person = 99.
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L0 meaning: P(features|category) when category matches utterance, 0 otherwise. The feature prior is baked into L0 following RSAConfig convention.
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- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.meaning _q u w = if (u == w.1) = true then Phenomena.Nonliteral.Metaphor.KaoEtAl2014.featurePrior w.1 w.2.1 w.2.2.1 w.2.2.2 else 0
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Project a world onto the QUD-relevant feature.
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- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.project w Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Goal.large = w.2.1
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.project w Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Goal.graceful = w.2.2.1
- Phenomena.Nonliteral.Metaphor.KaoEtAl2014.project w Phenomena.Nonliteral.Metaphor.KaoEtAl2014.Goal.majestic = w.2.2.2
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@cite{kao-etal-2014-hyperbole} metaphor model, parametric in goal prior.
S1 score is rpow(projected_L0, α) — the paper's Eq. 5 without
utterance cost. This directly encodes the paper's equations and
lets rsa_predict handle the interval arithmetic.
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Vague QUD condition: uniform goal prior ("What is he like?").
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Specific QUD condition: large-biased goal prior ("Is he large?").
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The listener infers the referent is a person, not literally a whale.
P(large=T | "whale") > P(large=F | "whale").
P(graceful=T | "whale") > P(graceful=F | "whale").
P(majestic=T | "whale") > P(majestic=F | "whale").
Under specific QUD, P(large=T | "whale") is higher than under vague QUD.
Hearing "person", the listener correctly infers the referent is a person.
Map each empirical finding to the RSA model prediction that accounts for it.
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The RSA model accounts for all 6 empirical findings from @cite{kao-etal-2014-hyperbole}.