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https://doi.org/10.26615/978-9...
Article . 2019 . Peer-reviewed
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Diachronic Analysis of Entities by ExploitingWikipedia Page revisions

Authors: Basile, Pierpaolo; Caputo, Annalina; Lawless, Séamus; Semeraro, Giovanni;

Diachronic Analysis of Entities by ExploitingWikipedia Page revisions

Abstract

In the last few years, the increasing availability of large corpora spanning several time periods has opened new opportunities for the diachronic analysis of language. This type of analysis can bring to the light not only linguistic phenomena related to the shift of word meanings over time, but it can also be used to study the impact that societal and cultural trends have on this language change. This paper introduces a new resource for performing the diachronic analysis of named entities built upon Wikipedia page revisions. This resource enables the analysis over time of changes in the relations between entities (concepts), surface forms (words), and the contexts surrounding entities and surface forms, by analysing the whole history of Wikipedia internal links. We provide some useful use cases that prove the impact of this resource on diachronic studies and delineate some possible future usage. Source code and more details are available here: https://github.com/pippokill/dae

Country
Ireland
Keywords

Wikipedia page revisions, Entities, Named entities, Diachronic Analysis, Wikipedia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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