对话内容识别

J. Ginzburg
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引用次数: 0

摘要

决定对话中话语的内容是一个潜在的棘手问题:它应该是一个使用(完全/主要)语法信息计算的实体,还是通过使用域级推理识别参与者的意图来确定?一个人在这个分数上做出的决定在任何涉及话语基础的互动模型中都起着至关重要的作用。将话语的澄清潜力整合到基础过程中,将内容识别问题转化为更具体的问题:语法确定的内容与使用领域级推理确定的内容具有明显不同的澄清潜力。这就带来了一个新的挑战:如何将这两种类型的内容整合在一起,既能保持它们独特的澄清潜力,又能让由领域级推理确定的内容在基础中发挥作用。我的演讲将讨论这一挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content Recognition in Dialogue
Deciding what is the content of an utterance in dialogue is a potentially tricky business: should it be an entity computed using (solely/primarily) grammatical information or is it determined by recognition of participant intention using domain level inference? The decisions one makes on this score play a crucial role in any model of the interaction involved in grounding an utterance. Integrating the clarificatory potential of an utterance into the grounding process transforms the issue of content recognition into a more concrete issue: grammatically determined content has markedly distinct clarificatory potential from content determined using domain level inference. This leads to a new challenge: how to integrate the two types of content in such a way that both enables their distinct clarificatory potential to be maintained and allows content determined by domain level inference to feature in grounding. My talk will address this challenge.
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