Abstract
An automatic text summarization system based on fusing multiple knowledge sources is proposed. It generates summaries by fusing the results produced by the improved method based on add terms, the improved method based on lexical chains and the improved method based on discourse structure. Evaluation results show that the presented system not only captures the characteristics of texts but also retains the content and inherent logic of sources, and high-quality summaries are produced from arbitrary Chinese texts. The proposed system is compared to systems based on single method and it is shown that it produces either comparable or better summaries overall.
| Original language | English |
|---|---|
| Pages (from-to) | 337-341 |
| Number of pages | 5 |
| Journal | Gaojishu Tongxin/Chinese High Technology Letters |
| Volume | 16 |
| Issue number | 4 |
| State | Published - Apr 2006 |
| Externally published | Yes |
Keywords
- Add term
- Automatic text summarization
- Discourse structure
- Fusion
- Lexical chain
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