Extraction of Evolution Descriptions from the Web

February 03, 2017 ยท Declared Dead ยท ๐Ÿ› IEEE/ACM Joint Conference on Digital Libraries

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Authors Helge Holzmann, Thomas Risse arXiv ID 1702.01179 Category cs.CL: Computation & Language Cross-listed cs.DL Citations 1 Venue IEEE/ACM Joint Conference on Digital Libraries Last Checked 6 months ago
Abstract
The evolution of named entities affects exploration and retrieval tasks in digital libraries. An information retrieval system that is aware of name changes can actively support users in finding former occurrences of evolved entities. However, current structured knowledge bases, such as DBpedia or Freebase, do not provide enough information about evolutions, even though the data is available on their resources, like Wikipedia. Our \emph{Evolution Base} prototype will demonstrate how excerpts describing name evolutions can be identified on these websites with a promising precision. The descriptions are classified by means of models that we trained based on a recent analysis of named entity evolutions on Wikipedia.
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