Research Article
Abstractive Arabic Text Summarization Based on Deep Learning
Table 6
Performance comparisons of the proposed system using several word embedding models.
| Dataset | word2vec | ROUGE-1 | ROUGE-2 | ROUGE-L | BLEU | Precision | Recall | F1 | Precision | Recall | F1 | Precision | Recall | F1 |
| AHS | Skip-gram | 54.95 | 50.48 | 51.49 | 13.1 | 12.01 | 12.27 | 37.84 | 35.19 | 34.37 | 0.41 | CBOW | 52.25 | 48.22 | 49.08 | 11.11 | 10.26 | 10.46 | 36.13 | 33.73 | 32.85 | 0.37 |
| AMN | Skip-gram | 48.15 | 42.65 | 44.28 | 19.46 | 17.93 | 18.35 | 35.48 | 32.86 | 32.46 | 0.41 | CBOW | 43.78 | 38.83 | 40.11 | 17.05 | 15.21 | 15.92 | 32.28 | 29.7 | 29.03 | 0.38 |
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