Abstract: “This paper presents an algorithm that can be used to assess the quality of the summaries without a gold standard. This algorithm is based on linguistic knowledge. An innovative aspect of our algorithm lies in its ability to improve the performance of existing techniques for evaluation summaries. The evaluation results on the students' summaries demonstrate that the proposed algorithm is able to obtain high accuracy and improve performance compared with the current techniques. The algorithm has also been developed into a learning environment for helping both teachers and students.”

Keywords: Summarization Evolution algorithm, linguistic measurement, intelligent tutoring systems, Similarity measure