Named Entity Evolution Analysis on Wikipedia

Helge Holzmann, Thomas Risse · 2015

Accessing Web archives raises a number of issues caused by their temporal characteristics. Additional knowledge is needed to find and understand older texts. Especially enti-ties mentioned in texts are subject to change. Most severe in terms of information retrieval are name changes. In or-der to find entities that have changed their name over time, search engines need to be aware of this evolution. We tackle this problem by analyzing Wikipedia in terms of entity evo-lutions mentioned in articles. We present statistical data on excerpts covering name changes, which will be used to dis-cover similar text passages and extract evolution knowledge in future work.

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