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A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts

机译:理解间接言语行为的Dempster-Shafer理论方法

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Understanding Indirect Speech Acts (ISAs) is an integral function of human understanding of natural language. Recent attempts at understanding ISAs have used rule-based approaches to map utterances to deep semantics. While these approaches have been successful in handling a wide range of ISAs, they do not take into account the uncertainty associated with the utterance's context, or the utterance itself. We present a new approach for understanding ISAs using the Dempster-Shafer theory of evidence and show how this approach increases the robustness of ISA inference by (1) accounting for uncertain implication rules and context, (2) fluidly adapting rules given new information, and (3) enabling better modeling of the beliefs of other agents.
机译:理解间接言语行为(ISA)是人类对自然语言理解的一项不可或缺的功能。最近了解ISA的尝试已使用基于规则的方法将话语映射到深层语义。尽管这些方法已成功地处理了多种ISA,但它们并未考虑与话语上下文或话语本身相关的不确定性。我们提出一种使用Dempster-Shafer证据理论理解ISA的新方法,并通过(1)考虑不确定的蕴涵规则和上下文,(2)在给定新信息的情况下灵活地调整规则,以及通过这种方式展示该方法如何提高ISA推理的鲁棒性。 (3)能够更好地建模其他主体的信念。

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