Abstract
In this paper, a new multi-document summarization framework which combines rhetorical roles and corpus-based semantic analysis is proposed. The approach is able to capture the semantic and rhetorical relationships between sentences so as to combine them to produce coherent summaries. Experiments were conducted on datasets extracted from web-based news using standard evaluation methods. Results show the promise of our proposed model as compared to state-of-The-Art approaches.
Original language | English |
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Pages (from-to) | 4346-4352 |
Number of pages | 7 |
Journal | Expert Systems with Applications |
Volume | 40 |
Issue number | 11 |
DOIs | |
State | Published - 1 Sep 2013 |
Externally published | Yes |
Keywords
- Discourse Models
- Machine Learning
- Multi-document summarization
- Rhetorical roles
- Semantic analysis
- Statistical language models