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Maintaining Consistency and Plausibility in Integrated Natural Language Understanding

机译:在自然语言综合理解中保持一致性和合理性

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In this paper, we present an inference mechanism called the integrated parsing engine which provides a uniform abductive inference mechanism for natural language understanding. It can (1) make plausible assumptions, (2) reason with multiple alternatives, (3) switch the search process to the maximally plausible alternative, (4) detect contradiction and tame con-clutions which depend on inconsistent assumptions, and (5) update plausibility factor of each belief based on new observations. We demonstrate that a natural language understanding system using the integrated parsing engine as a subsystem can pursue a guided search for most plausible interpretation by making use of syntax, semantics, and contextual information.
机译:在本文中,我们提出了一种称为集成解析引擎的推理机制,该引擎为自然语言理解提供了统一的归纳推理机制。它可以(1)做出合理的假设;(2)多种选择的理由;(3)将搜索过程切换为最大似然的选择;(4)检测基于不一致假设的矛盾和驯服的结论;以及(5)根据新的观察结果更新每个信念的合理性因子。我们证明了使用集成解析引擎作为子系统的自然语言理解系统可以通过使用语法,语义和上下文信息来寻求对最合理解释的指导性搜索。

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