Text document summarization using word embedding

作者：

Highlights：

• Paper proposes using semantics as feature for text summarization.

• Results prove that using semantics as feature improves system performance.

• Evaluation on standard dataset shows competitive superiority.

摘要

•Paper proposes using semantics as feature for text summarization.•Results prove that using semantics as feature improves system performance.•Evaluation on standard dataset shows competitive superiority.

论文关键词：Extractive summarization,Semantic summarization,Distributional semantics,Text summarization

论文评审过程：Received 15 June 2019, Revised 15 September 2019, Accepted 16 September 2019, Available online 3 October 2019, Version of Record 8 November 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112958