Automatic extraction of spatial relations

M.-L. Reinbergerr
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引用次数: 5

Abstract

We present a method to extract semantic relations from text corpora in an unsupervised way and use the output as preprocessed material for the building of a virtual environment. The experiments have been carried out in the context of the Flemish OntoBasis project. We have used two small corpora. The first one has been gathered from the Internet and is describing the megalithic ruin of Stonehenge. The other one, considered as a test case, is composed in order to describe the appearance and content of a shop. Using a shallow parser, we select functional relations, such as the syntactic structure subject-verb-object, from which we extract spatial information, in an unsupervised way on the Stonehenge corpus, and using domain knowledge for the shop corpus. We then compare and discuss the results, considering the differences between both corpora and to what extent the size of the corpus and the presence of domain knowledge influence the results. The adequacy of the relations extracted has been evaluated manually
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空间关系的自动提取
本文提出了一种以无监督的方式从文本语料库中提取语义关系的方法,并将其输出作为构建虚拟环境的预处理材料。实验是在Flemish OntoBasis项目的背景下进行的。我们用了两个小语料库。第一篇是从网上收集来的,描述的是巨石阵的废墟。另一个被视为测试用例,用于描述商店的外观和内容。在Stonehenge语料库上,我们使用浅层次解析器选择主语-动词-宾语等句法结构的功能关系,并从中提取空间信息;在shop语料库上,我们使用领域知识。然后我们比较和讨论结果,考虑两个语料库之间的差异,以及语料库的大小和领域知识的存在在多大程度上影响结果。提取的关系的充分性已被手动评估
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