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- W1483617434 abstract "ABSTRACT: In recent work, tableau-based model generation calculi have been used as computationalmodels of the reasoning processes involved in utterance interpretation. In this linguistic application ofan inference technique that was originally developed for automated theorem proving, natural languageunderstanding is treated as a process of generating Herbrand models for the logical form of an utterancein a discourse. This approach captures anbiguity by generating multiple models for input logical forms.In this paper we apply the model generation approach to a particular case of ambiguity: the interpreta-tion of negated sentences. Using model generation, we will demonstrate how the various possible readingsof simple negated sentences are generated, and by what criteria an interpreter chooses among these possi-bilities. Our investigation of negated sentences will lead us to propose constraints on the model generationsystem which, we will suggest, represent broadly applicable principles of interpretation.KEYWORDS: Semantics, Pragmatics, Model Generation, Negation, Inference, Discourse" @default.
- W1483617434 created "2016-06-24" @default.
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- W1483617434 date "2002-01-01" @default.
- W1483617434 modified "2023-09-22" @default.
- W1483617434 title "Interpreting Negatives in Discourse" @default.
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