Intra-relation or inter-relation?: Exploiting social information for Web document summarization
作者：
Highlights：
• A novel ranking framework for social context summarization is proposed.
• The framework relies on the reinforcement support of social information.
• 14 features in two groups: distance and statistical are proposed.
• A new open-domain dataset is created and manually annotated.
• Combining intra-relation and inter-relation benefits the summarization.
摘要
•A novel ranking framework for social context summarization is proposed.•The framework relies on the reinforcement support of social information.•14 features in two groups: distance and statistical are proposed.•A new open-domain dataset is created and manually annotated.•Combining intra-relation and inter-relation benefits the summarization.
论文关键词：Data mining,Information retrieval,Document summarization,Social context summarization,RTE,Ranking,Unsupervised learning
论文评审过程：Received 9 September 2016, Revised 23 January 2017, Accepted 24 January 2017, Available online 28 January 2017, Version of Record 7 February 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.01.023
