The combination of similarity measures for extractive summarization

The key task in extractive summarization is to determine the importance of the sentence in the input. Several recent studies have focused on comparing the similarity between sentences to assess the significance of them efficiently. Each comparison method has its strengths and weaknesses. In this paper, we propose the combination of similarity measures for sentence comparison. Experiments conducted on both English and Vietnamese datasets demonstrate the efficiency of our proposed approach. Our model outperforms the recent works in English with the significant improvement (9.4 ROUGE-2 F1-score) and achieves the competitive result in Vietnamese.