Algorithm Design And System Development Of Subject Question Auto-assessment Based On HNC Theory

In the CAA (Computer Assisted Assessment) area, the techniques of the auto-assessment of the object questions, such as single choices, multiple choices and vacancy filling questions etc., have been very perfect and been used in large-scaled testing systems. But, when refers to the subject questions, such as the term explanation, short answer questions, essay questions and compositions etc., their auto-assess techniques remain unperfect, because the subject questions' auto-assess techniques are restricted by the development of the techniques in Artificial Intelligence area, the Natural Language Understanding area and the Pattern Recognition area, so, there was no applied system in use.In China, the subject questions' assessment is still in manual. What' s more, there are many object or subject factors that will influence the result, such as the cleanesss of the student' s papers, the beauty or ugliness of the student' s handwriting, the teacher' s mood etc. That brings down the justiness of the competition between the students.The computer, however, is prior to human in processing speed, efficiency, precision and never be tired. What' s more, there is no object or subject factor that can influence its work. So, it is very fit for the auto-assessment of the subjective questions.In this paper, we introduced the HNC (Hierarchical Network of Concepts) theory into the Subjective-Question-Autoassess-System. Using its knowledge expression method and sentence category analyzing method to analyze the semantemes of Chinese sentences automatically. Then, we designed the according algorithms based on HNC theory. Finally, we developped the Subjective-Question-Autoassess system. The auto-assess result was pretty good.