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Invited Talk Ⅱ: On Distributional Semantics Mark Steedman, University of Edinburgh

机译:特邀演讲之二:关于分布语义学爱丁堡大学的马克·斯蒂德曼

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The central problem in open domain-question answering from text is the problem of entailment. Given enough text, the answer is almost certain to be there, but is likely to be expressed differently than in the question-either in a paraphrase, or in a sentence that entails or implies the answer. We cannot afford to bridge this gap by open-ended theorem-proving search. Instead we need a semantics for natural language that directly supports common-sense inference, such as that arriving somewhere implies subsequently being there, and invading a country implies attacking it. We would like this semantics to be compatible with traditional logical operator semantics including quantification, negation and tense, so that not being there implies not having arrived, and not attacking implies not invading.
机译:从文本回答开放域问题的中心问题是蕴涵性问题。给定足够的文本,几乎可以肯定答案就在那里,但是表达方式可能与问题中的表达方式有所不同-可以用释义或包含或暗示答案的句子表示。我们无法通过开放式定理证明搜索来弥合这一差距。相反,我们需要自然语言的语义,该语义直接支持常识推理,例如到达某个地方意味着随后会出现,而入侵一个国家则意味着对其进行攻击。我们希望这种语义与包括量化,否定和时态在内的传统逻辑运算符语义兼容,这样,不存在就意味着没有到达,而没有攻击就意味着没有入侵。

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