Speech Act Theory and Artificial Intelligence¶
Harris, D. (2020). Speech Act Theory and Artificial Intelligence. Handbook of Pragmatics and Language.
Cited by¶
5 citations across 5 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Cooperative Principle and Gricean Maxims
- Current approaches are heuristic: systems use training data to learn patterns of maxim-flouting and implicature-derivation, but the reasoning is implicit in learned weights, not explicit and transparent.
This sourceHarris speech act theory and artificial intelligence LLMs dialogue agents intent classification.
- Current approaches are heuristic: systems use training data to learn patterns of maxim-flouting and implicature-derivation, but the reasoning is implicit in learned weights, not explicit and transparent.
- Emphasis
This sourceHarris speech act theory and artificial intelligence LLMs dialogue agents intent classification.
- Pragmatic Politeness Strategies
- **T3: Clarity vs. face preservation.
This sourceHarris speech act theory and artificial intelligence LLMs dialogue agents intent classification.
- **T3: Clarity vs. face preservation.
- Register (Style) Shifting
- Systems like Claude and GPT capture implicit register patterns from training data and apply them conditionally to match user context and instructions (
This sourceHarris speech act theory and artificial intelligence LLMs dialogue agents intent classification.
- Systems like Claude and GPT capture implicit register patterns from training data and apply them conditionally to match user context and instructions (
- Speech Act Theory (Illocution, Perlocution)
- UI design that hides illocutionary force (unclear button labels) produces confusion or unintended actions.
This sourceHarris speech act theory and artificial intelligence LLMs dialogue agents intent classification.
- UI design that hides illocutionary force (unclear button labels) produces confusion or unintended actions.
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