Research Article
Use of Genetic Algorithm for Cohesive Summary Extraction to Assist Reading Difficulties
Table 3
Comparison of various summarization methods based on
-measure.
| ā | 10% | 20% | 30% | ā | Lead | FCBA | GA | Lead | FCBA | GA | Lead | FCBA | GA |
| Set1 | 0.31 | 0.28 | 0.33 | 0.41 | 0.48 | 0.5 | 0.42 | 0.71 | 0.6 | Set2 | 0.31 | 0.28 | 0.33 | 0.39 | 0.42 | 0.6 | 0.43 | 0.56 | 0.66 | Set3 | 0.26 | 0.5 | 0.4 | 0.5 | 0.66 | 0.5 | 0.4 | 0.83 | 0.66 | Set4 | 0.25 | 0.33 | 0.5 | 0.44 | 0.54 | 0.66 | 0.56 | 0.66 | 0.71 | Set5 | 0.4 | 0.30 | 0.5 | 0.4 | 0.61 | 0.57 | 0.5 | 0.76 | 0.62 |
| Avg | 0.31 | 0.34 | 0.41 | 0.43 | 0.54 | 0.57 | 0.46 | 0.70 | 0.65 |
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