基于图的相似度方法的生物医学文献关键词标注

Shuguang Wang, M. Hauskrecht
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引用次数: 2

摘要

在本文中,我们提出了一种新的方法,它允许我们提取和表示文档中术语(概念)之间的关系,并使用这些关系来支持各种文档分析应用程序。我们的方法通过构建直接从文本中提取的术语之间的局部共现关系图,并使用图及其连接性在这些术语和术语集之间定义全局相似性度量来工作。我们演示了该方法在基于摘要的文档网格关键字标注问题上的优势。
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Keyword annotation of biomedicai documents with graph-based similarity methods
In this paper, we present a new approach that lets us extract, and represent relations among terms (concepts) in the documents and uses these relations to support various document analysis applications. Our approach works by building a graph of local co-occurrence relations among terms that are extracted directly from text and by defining a global similarity metric among these terms and sets of terms using the graph and its connectivity. We demonstrate the benefit of the approach on the problem of MeSH keyword annotation of documents based on their abstracts.
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