Preferences in Wikipedia abstracts: Empirical findings and implications for automatic entity summarization
作者：
Highlights：
• We empirically study how Wikipedians summarize entity descriptions in practice.
• We compare entity descriptions in DBpedia with their Wikipedia abstracts.
• We analyze the length of a summary and the priorities of property values.
• We analyze the priorities of, diversity of, and correlation between properties.
• Implications for automatic entity summarization are drawn from the findings.
摘要
•We empirically study how Wikipedians summarize entity descriptions in practice.•We compare entity descriptions in DBpedia with their Wikipedia abstracts.•We analyze the length of a summary and the priorities of property values.•We analyze the priorities of, diversity of, and correlation between properties.•Implications for automatic entity summarization are drawn from the findings.
论文关键词：DBpedia,Entity summarization,Feature selection,Property ranking,Wikipedia
论文评审过程：Received 10 September 2013, Revised 13 November 2013, Accepted 23 December 2013, Available online 19 January 2014.
论文官网地址：https://doi.org/10.1016/j.ipm.2013.12.001
