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Acquisition of Open-Domain Classes via Intersective Semantics

机译:通过相交语义获取开放域类

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A weakly-supervised method acquires fine-grained class labels that do not occur verbatim in the input data or underlying text collection. The method generates more specific class labels (gold mining companies listed on the toronto stock exchange) that capture the semantics of the underlying classes, out of pairs of input class labels (companies listed on the toronto stock exchange, gold mining companies) available for an instance (Golden Star Resources). When applied to Wikipedia articles and their categories, the method generates new categories for existing articles, and expands existing categories with additional articles.
机译:弱监督方法会获取在输入数据或基础文本集合中不会逐字出现的细粒度类标签。该方法从可用于实例(金星资源)。当应用于Wikipedia文章及其类别时,该方法将为现有文章生成新类别,并使用其他文章扩展现有类别。

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