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| Update Summarization via Graph-Based Sentence Ranking | |
| Li, Xuan; Du, Liang; Shen, Yi-Dong | |
| 2013 | |
| Source | IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
 |
| ISSN | 1041-4347 |
| Volume | 25Issue:5Pages:1162-1174 |
| English Abstract | Due to the fast evolution of the information on the Internet, update summarization has received much attention in recent years. It is to summarize an evolutionary document collection at current time supposing the users have read some related previous documents. In this paper, we propose a graph-ranking-based method. It performs constrained reinforcements on a sentence graph, which unifies previous and current documents, to determine the salience of the sentences. The constraints ensure that the most salient sentences in current documents are updates to previous documents. Since this method is NP-hard, we then propose its approximate method, which is polynomial time solvable. Experiments on the TAC 2008 and 2009 benchmark data sets show the effectiveness and efficiency of our method.; Due to the fast evolution of the information on the Internet, update summarization has received much attention in recent years. It is to summarize an evolutionary document collection at current time supposing the users have read some related previous documents. In this paper, we propose a graph-ranking-based method. It performs constrained reinforcements on a sentence graph, which unifies previous and current documents, to determine the salience of the sentences. The constraints ensure that the most salient sentences in current documents are updates to previous documents. Since this method is NP-hard, we then propose its approximate method, which is polynomial time solvable. Experiments on the TAC 2008 and 2009 benchmark data sets show the effectiveness and efficiency of our method. |
| Indexed Type | SCI |
| Keyword | Summarization Update Summarization Topic-focused Summarization Multidocument Summarization Extraction-based Summarization Graph-based Ranking Manifold Ranking Large-margin Constrained Ranking Novelty Quadratically Constrained Quadratic Programming Quadratic Programming |
| Department | [Li, Xuan; Du, Liang; Shen, Yi-Dong] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China. |
| Language | 英语 |
| WOS ID | WOS:000316755100016 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16936 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Li, Xuan,Du, Liang,Shen, Yi-Dong. Update Summarization via Graph-Based Sentence Ranking[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,2013,25(5):1162-1174. |
| APA | Li, Xuan,Du, Liang,&Shen, Yi-Dong.(2013).Update Summarization via Graph-Based Sentence Ranking.IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,25(5),1162-1174. |
| MLA | Li, Xuan,et al."Update Summarization via Graph-Based Sentence Ranking".IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 25.5(2013):1162-1174. |
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