公开(公告)号：US08983898B1

公开(公告)日：2015-03-17

申请号：US14027586

申请日：2013-09-16

Applicant: Google Inc.

Inventor： Enrique Alfonseca ,  Marius Pasca ,  Enrique Robledo-Arnuncio

IPC: G06F17/30

CPC classification number: G06F17/30707 ,  G06F17/30705 ,  G06F17/30734

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for extracting instance attributes from text are described. In one aspect, a method exploits weakly-supervised and unsupervised instance relatedness data, available in the form of labeled classes of instances and distributionally similar instances. The method organizes the data into a graph containing instances, class labels, and attributes. The method propagates attributes among related instances, through random walks over the graph.

Abstract translation: 描述了用于从文本中提取实例属性的方法，系统和装置，包括在计算机存储介质上编码的计算机程序。 在一个方面，一种方法利用弱监督和无监督的实例相关性数据，其以标记的实例类和分布类似的实例的形式可用。 该方法将数据组织到包含实例，类标签和属性的图表中。 该方法通过图形上的随机游走在相关实例中传播属性。