Share Paper: Automatic Summary Grading on Narrative Article for English Learner

  1. Jia-Ling Koh, National Taiwan Normal University, Taiwan
  2. Han Wang, National Taiwan Normal University, Taiwan
  3. Chen-Yu Huang, Taipei Municipal Shilin High School of Commerce, Taiwan
  4. Greg Lee, National Taiwan Normal University, Taiwan
Wednesday, October 21 11:55 AM-12:15 PM Alii III

Abstract: The open questions about article's summarization can evaluate whether students understand the content of an article. However, it is a time-consuming task for teachers to give feedback and score. For solving this problem, we design a system to automatically grade the summarization questions on English narrative article without correct answer given by teachers. Accordingly, the students have more opportunities to practice with acquiring evaluation feedback in short time. In the proposed system, the article and the student's summary are represented by semantic graphs, which are compared to extract the matching features. Furthermore, the machine learning method is used to establish ...