Abstract
Various tasks of computing meaning involve the identification, representation and processing of interconnected and recurrent patterns known as situations, context, frames or forms. In this paper, the authors propose a novel computational - semiotics approach for addressing various tasks of situation semantics. The approach relies on the dual-space model and the representation of a situation based on domain and function similarity of its constituting parts. The authors illustrate this approach through a worked-out example and test it by automatically by (1) Judging the truth-value of situational propositions and (2) Generating explanations to metaphors.
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