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Concept Description Vectors and the 20 Question Game

机译:概念描述向量和20问题博弈

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摘要

Knowledge of properties that are applicable to a given object is a necessary prerequisite to formulate intelligent question. Concept description vectors provide simplest representation of this knowledge, storing for each object information about the values of its properties. Experiments with automatic creation of concept description vectors from various sources, including ontologies, dictionaries, encyclopedias and unstructured text sources, are described. Information collected in this way is used to formulate questions that have high discriminating power in the twenty questions game.
机译:了解适用于给定对象的属性是提出智能问题的必要先决条件。概念描述向量提供了该知识的最简单表示,为每个对象存储有关其属性值的信息。描述了从各种来源(包括本体,词典,百科全书和非结构化文本来源)自动创建概念描述向量的实验。以这种方式收集的信息用于制定在二十个问题游戏中具有较高判别力的问题。

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