A novel extractive multi-document text summarization system using quantum-inspired genetic algorithm: MTSQIGA

作者：

Highlights：

• A novel quantum-inspired genetic algorithm for multi-document summarization.

• A novel objective function by combination six sentence scoring measures.

• A modified quantum measurement and a self-adaptive quantum rotation gate.

• State-of-the-art results for extractive multi-document summarization.

摘要

•A novel quantum-inspired genetic algorithm for multi-document summarization.•A novel objective function by combination six sentence scoring measures.•A modified quantum measurement and a self-adaptive quantum rotation gate.•State-of-the-art results for extractive multi-document summarization.

论文关键词：Extractive summarization,Multi-document summarization,Quantum-inspired genetic algorithm,Objective function,Self-adaptive rotation gate,Quantum measurement

论文评审过程：Received 8 November 2019, Revised 30 December 2020, Accepted 30 December 2020, Available online 5 January 2021, Version of Record 19 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114555