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Explanation-based learning of indirect speech act interpretation rules
Abstract
We describe an approach to deriving efficient rules for interpreting the intended meaning of indirect speech acts. We have constructed a system called SALLY that starts with a few, very general principles for understanding the intention of the speaker of an utterance. After inferring the intended meaning of a particular utterance, SALLY creates a specialized rule to understand directly similar utterances in the future.
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