Language features in extractive summarization: Humans Vs. Machines

作者：

Highlights：

• This paper investigates pertinence of language features commonly utilized in ATS.

• Statistical comparisons were conducted between human-made and machine-made summaries.

• Some features were interestingly used moderately by humans, but not by machines.

摘要

•This paper investigates pertinence of language features commonly utilized in ATS.•Statistical comparisons were conducted between human-made and machine-made summaries.•Some features were interestingly used moderately by humans, but not by machines.

论文关键词：Automatic text summarization,Statistical feature analysis,Natural language processing,Artificial intelligence

论文评审过程：Received 8 November 2018, Revised 2 May 2019, Accepted 9 May 2019, Available online 14 May 2019, Version of Record 12 June 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.05.014