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Improving diversity of focused summaries through the negative endorsements of redundant facts

  • Palakorn Achananuparp*
  • , Xiaohua Hu
  • , Lifan Guo
  • , Tingting He
  • , Yuan An
  • , Zhoujun Li
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

We present NegativeRank, a novel graph-based sentence ranking model to improve the diversity of focused summary by performing random walks over sentence graph with negative edge weights. Unlike the typical eigenvector centrality ranking, our method models the redundancy among sentence nodes as the negative edges. The negative edges can be thought of as the propagation of disapproval votes which can be used to penalize redundant sentences. As the iterative process continues, the initial ranking score of a given node will be adjusted according to a long-term negative endorsement from other sentence nodes. The evaluation results confirm that our proposed method is very effective in improving the diversity of the focused summary, compared to several well-known text summarization methods.

源语言英语
主期刊名2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
342-349
页数8
DOI
出版状态已出版 - 2010
活动2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 - Toronto, ON, 加拿大
期限: 31 8月 20103 9月 2010

出版系列

姓名Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
1

会议

会议2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
国家/地区加拿大
Toronto, ON
时期31/08/103/09/10

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