| Summary: | 碩士 === 元智大學 === 資訊工程學系 === 106 === Multi-document summarization is an important research task in text summarization. It helps people to reduce much time in reading articles of the same topics but with similar contents. In this study, we propose an ensemble model based on genetic algorithms. Using this model, we construct two ensemble summarization models, one for four network summarization models, and the other for four probabilistic topic network models. These two ensemble models use genetic algorithms to find the optimal weights. We use the datasets of DUC 2004 to DUC 2007 for performance evaluation. The experimental results show that these two ensemble models can achieve the best performance in ROUGE-1, ROUGE-2, and ROUGE-SU4 than other standalone network models and standalone probabilistic topic network models, respectively.
|
|---|
