Automatic summarization assessment through a combination of semantic and syntactic information for intelligent educational systems
作者：
Highlights：
• We proposed a specialized method that works well in assessing short summaries.
• It integrates the semantic relations between words, and their syntactic composition.
• We experimentally examine the influence of the combination of semantic and syntactic information on short summary assessment.
• Experiments have displayed that it is to be preferred over the existing techniques.
• We have developed the method as an intelligent tool to grade students’ summaries.
摘要
•We proposed a specialized method that works well in assessing short summaries.•It integrates the semantic relations between words, and their syntactic composition.•We experimentally examine the influence of the combination of semantic and syntactic information on short summary assessment.•Experiments have displayed that it is to be preferred over the existing techniques.•We have developed the method as an intelligent tool to grade students’ summaries.
论文关键词：Automatic summary assessment,Content coverage,Natural language processing,Automatic grading,Intelligent tutoring systems
论文评审过程：Received 22 March 2014, Revised 22 January 2015, Accepted 3 February 2015, Available online 9 March 2015.
论文官网地址：https://doi.org/10.1016/j.ipm.2015.02.001
