A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts

A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts
复制标题

理解间接言语行为的登普斯特-谢弗理论方法

DOI:
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发表时间:
2014
期刊:
Ibero-American Conference on AI
影响因子:
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通讯作者:
M. Murthi
M. Murthi
中科院分区:
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文献类型:
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作者:
T. Williams;R. C. Nunez;Gordon Briggs;Matthias Scheutz;K. Premaratne;M. Murthi

文献摘要

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理解间接言语行为是人类理解自然语言的一个重要功能。最近尝试理解ISA使用基于规则的方法来映射话语到深层语义。虽然这些方法在处理广泛的ISA方面取得了成功,但它们没有考虑到与话语上下文或话语本身相关的不确定性。我们提出了一种新的方法来理解ISA使用证据的Dempster-Shafer理论,并显示这种方法如何增加伊萨推理的鲁棒性(1)占不确定的含义规则和上下文,(2)流畅地适应规则的新信息,(3)使其他代理的信念更好地建模。
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.