Automated Essay Scoring Using Set of Literary Sememes
Automatic essay scoring system is a very important research tool for many educational studies. Many researches indicate that AES systems should be able to analyze semantic characteristics of an essay and include more such features to score essays. This paper makes an assumption: some concepts that can be regarded as literary concepts would only be utilized by skillful writers. However, it is a difficult task to extract literal concepts due to small size of training corpora. This work uses a semantic network tool to overcome the problem. The concepts in essays can be transformed into sememes using the tool and literary concepts are also transformed into literary sememes. This work introduces a method which makes use of the literary sememes in an essay to score the essay. Experimental results show that the accuracy of the proposed method for Chinese essays is comparable to those as achieved by several current English AES systems.
Essay scoring writing grading semantic analysis literary sememes Chinese writings
Tao-Hsing CHANG Chia-Hoang LEE Pei-Yen TSAI Hak-Ping TAM
Dept.of Computer Science and Information Engineering National Kaohsiung University of Applied Scienc Dept.of Computer Science National Chiao Tung University Hsinchu,Taiwan,R.O.C Graduate Institute of Science Education National Taiwan Normal University Taipei,Taiwan,R.O.C
国际会议
北京
英文
2008-10-19（万方平台首次上网日期，不代表论文的发表时间）