| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322481 | Expert Systems with Applications | 2012 | 10 Pages |
Abstract
⺠A novel content selection framework for update summarization is proposed. ⺠Evolutionary manifold-ranking makes the summary novel and relevant to the topic. ⺠Integrated with spectral clustering is to make the summary have a high coverage. ⺠The redundancy removal strategy with exponent decay is used in sentence selection. ⺠The results on TAC 2008-update summarization task show our approach is competitive.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ruifang He, Bing Qin, Ting Liu,