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Summary
editHow many days must a news article wait before being cited in Wikipedia?
The Knowledge Base Acceleration (KBA) track in NIST's Text Retrieval Conference (2012 to 2014),[1] grew out of the observation that knowledge embedded in unstructured text often languishes for extended periods of time before being assimilated into structured knowledge base, such as Wikipedia. Using a sample of approximately 50,000 news articles cited in Wikipedia articles from the Category:Living people, the KBA track organizers estimated that the median lag time for articles published after 2001 to eventually be cited in Wikipedia is more than 1.5 years. As shown in the figure, the lag time levels out to a long heavy tail for earlier articles, and then gradually accelerates for a small handful of news articles that get incorporated rapidly. Out of approximately 50,000 articles in the sample, only about 300 hundred had a lag time of less than a day.
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editLicensing
edit | This work is licensed under the Creative Commons Attribution 4.0 License. |
- ^ Frank, John R.; Kleiman-Weiner, Max; Roberts, Daniel A.; Voorhees, Ellen; Soboroff, Ian (2014-11-01). Evaluating Stream Filtering for Entity Profile Updates in TREC 2012, 2013, and 2014, KBA Track Overview (PDF). NIST Special Publication 500-308: The Twenty-Third Text REtrieval Conference Proceedings (TREC 2014). Retrieved 2020-11-04.
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 20:38, 17 November 2020 | 2,288 × 1,778 (351 KB) | Jrf (talk | contribs) | How many days must a news article wait before being cited in Wikipedia? Knowledge Base Acceleration (KBA) track in NIST’s Text Retrieval Conference<ref name = ”kba-overview”> {{cite conference | url = https://trec.nist.gov/pubs/trec23/papers/overview-kba.pdf | title = Evaluating Stream Filtering for Entity Profile Updates in TREC 2012, 2013, and 2014, KBA Track Overview | date = 2014-11-01 | accessdate = 2020-11-04 | first1 = John R. | last1 = Frank | fi... |
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