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- W2167833393 abstract "An infobox of a Wikipedia article generally contains key facts in the article and is organized as attribute-value pairs. Infoboxes not only allow read- ers to rapidly gather the most important information about some aspects of the articles in which they appear, but also provide a source for many knowledge ba- ses derived from Wikipedia. However, not all the values of infobox attributes are updated frequently and accurately. In this paper, we propose a method to au- tomatically detect outdated attribute values in Wikipedia infoboxes by using facts extracted from the general Web. Our method uses the pattern-based fact extraction approach. The patterns for fact extraction are automatically learned using a number of available seeds in related Wikipedia infoboxes. We have tested and evaluated our system on a set of 100 well-established com- panies in the NASDAQ-100 index on their employee numbers, presented by the num_employees attribute value in their Wikipedia article infoboxes. The achieved accuracy is 77% and our test result also reveals that 82% of the companies do not have their latest numbers of employees in their Wikipedia article infoboxes." @default.
- W2167833393 created "2016-06-24" @default.
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- W2167833393 date "2013-12-31" @default.
- W2167833393 modified "2023-09-23" @default.
- W2167833393 title "Automatic Detection of Outdated Information in Wikipedia Infoboxes" @default.
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- W2167833393 doi "https://doi.org/10.13053/rcs-70-1-16" @default.
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