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Methods for precise named entity matching in digital collections

机译:数字集合中的精确命名实体匹配的方法

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In this paper, we describe an interactive system, built within the context of CLiMB project, which permits a user to locate the occurrences of named entities within a given text. The named entity tool was developed to identify references to a single art object (e.g. a particular building) with high precision in text related to images of that object in a digital collection. We start with an authoritative list of art objects, and seek to match variants of these named entities in related text. Our approach is to "decay" entities into progressively more general variants while retaining high precision. As variants become more general, and thus more ambiguous, we propose methods to disambiguate intermediate results. Our results will be used to select records into which automatically generated metadata will be loaded.
机译:在本文中,我们描述了一个交互式系统,内置于爬升项目的上下文中,这允许用户在给定文本中找到命名实体的出现。被开发的命名实体工具以识别对单个艺术对象(例如特定建筑物)的引用,其具有高精度与数字集合中该对象的图像相关的文本。我们从一个权威的艺术对象列表开始,并寻求将这些命名实体的变体匹配相关文本中的变体。我们的方法是将实体“衰减”逐步更加一般的变体,同时保持高精度。随着变种变得更加通用,因此更加模糊,我们提出了消除中间结果的方法。我们的结果将用于选择将自动生成的元数据加载的记录。

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