Visualization of News Articles
Visualization of News Articles
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DOI：
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发表时间：
2004
影响因子：
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通讯作者：
M. Grobelnik;D. Mladenić
中科院分区：
文献类型：
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作者：
M. Grobelnik;D. Mladenić
本文介绍了一个系统的可视化大量的新的故事。在第一阶段中，对新故事进行预处理，以实现名称-实体提取的目的.接下来，创建所提取的名称实体之间的关系图，其中每个名称实体表示图中的一个顶点，并且如果两个名称实体出现在同一文档中，则它们是连接的。实体的图被呈现为局部邻域，该局部邻域富含以特征关键字和连接到焦点中的实体的相关名称实体的形式的附加上下文信息。用于浏览图的操作被实现为高效的，使得能够快速捕获存在于原始文本中的大量信息。
This paper presents a system for visualization of large amounts of new stories. In the first phase, the new stories are preprocessed for the purpose of name -entity extraction. Next, a graph of relationships between the extracted name entities is created, where each name entity represents one vertex in the graph and two name entities are connected if they appear in the same document. The graph of entities is presented as a local neighborhood enriched with additional contextual information in the form of characteristic keywords and related name entities connected to the entity in the focus. Operations for browsing a graph are implemented to be efficient enabling quick capturing of large amounts of information present in the original text.