Comparison of automatic methods for reducing the Pareto front to a single solution applied to multi-document text summarization

作者：

Highlights：

• We study the reduction of the Pareto front to a single solution.

• Several decision making methods are implemented and evaluated.

• The methods are applied to the automatic multi-document text summarization problem.

• Our tests use Document Understanding Conferences datasets and the ROUGE metrics.

• The consensus method improves the results of the other evaluated methods.

摘要

•We study the reduction of the Pareto front to a single solution.•Several decision making methods are implemented and evaluated.•The methods are applied to the automatic multi-document text summarization problem.•Our tests use Document Understanding Conferences datasets and the ROUGE metrics.•The consensus method improves the results of the other evaluated methods.

论文关键词：Extractive summary,Multi-document summarization,Multi-objective optimization,Post-Pareto analysis,Single solution

论文评审过程：Received 18 September 2018, Revised 3 January 2019, Accepted 4 March 2019, Available online 8 March 2019, Version of Record 18 April 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.03.002