From: Summarizing large text collection using topic modeling and clustering based on MapReduce framework
 | ROUGE −1 | ROUGE −2 | ROUGE –L |  | ||||||
---|---|---|---|---|---|---|---|---|---|---|
 | Precision | Recall | F | Precision | Recall | F | Precision | Recall | F | Pyramid score |
Case – I | 0.488 | 0.566 | 0.276 | 0.438 | 0.487 | 0.213 | 0.473 | 0.508 | 0.244 | 0.528 |
Case – II | 0.637 | 0.616 | 0.392 | 0.434 | 0.332 | 0.144 | 0.590 | 0.610 | 0.360 | 0.634 |
Case – III | 0.710 | 0. 620 | 0.440 | 0.685 | 0.536 | 0.367 | 0.691 | 0.622 | 0.428 | 0.780 |